


# For agents.

> Read Sven Spöde’s public profile, work, concepts and collaboration boundaries as a connected context pack.

- Canonical URL: https://www.svenspoede.com/for-agents/
- Language: English
- JSON: https://www.svenspoede.com/for-agents/index.json
- Complete public context: https://www.svenspoede.com/context.json





This is Sven Spöde’s public context: what he works on, the ideas behind it, the public evidence and the boundaries of working together. Sven designs how knowledge, human judgment and AI work together, with a focus on marketing and communication teams.

## Ask with context

Give your agent the context link and ask, for example: “What does Sven work on?”, “What public work supports that description?” or “Which concept helps explain his approach?” A compatible browser agent can also select a part of the page while you read. The conversation and any generated answer belong to your chosen agent; this website does not provide a chatbot or speak for Sven.

## Keep the limits with the answer

Cite the relevant page and public source. Preserve dates, unknowns and collaboration boundaries. An upcoming event listing is not a delivered talk; an illustrative concept example is not a client result. Public context is not permission to contact someone, book work or make a commitment on Sven’s behalf.

The site tools read authored public records and change only the current view. They do not call a model, send email or publish anything. Your agent may process the context according to its own settings and provider.







  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  

  
    
  



### Sven Spöde

- ID: `sven-spoede`
- Type: profile
- Canonical page: https://www.svenspoede.com/






I connect human judgment, organizational knowledge and AI so marketing and communication teams can build ways of working they can own.

I build the context between human judgment and machine output.

I help marketing and communication teams build a useful relationship with AI: shared context, human judgment and systems they can own.

## From ambiguity to coherence

An illustration of how shared context supports coordination.

### Ambiguity

Knowledge is scattered

Knowledge, intentions and decisions are scattered. Connections exist, but their relevance is unclear.

### Context

Shared context takes shape

Purpose, knowledge, roles and constraints become a shared frame for human judgment and AI work.

### Coherence

A common frame connects the parts

People and systems can work from a common understanding, with clear responsibilities and room for judgment.

I build the context between human judgment and machine output.


#### Context between people and AI.

- Part ID: `meaning`
- Label: Meaning

I work where marketing and communication teams become AI-native and AI systems become context-literate.

My work connects brand, communication and systems architecture. I turn scattered expertise into usable context, clearer decisions and ways of working that a team can carry forward.

At ZEISS, I work on generative AI for marketing and communications. The same questions shape my speaking and independent advisory: what does the system need to know, where does judgment belong, and what should remain with the people using it?





- [Explore the concepts](https://www.svenspoede.com/concepts/) — Ideas and working examples




#### The work, in public.

- Part ID: `evidence`
- Label: Evidence

Interviews, talks and recognition offer a way to examine the thinking behind my work.

The AG CommTech interview explains how I approach knowledge objects and AI assistants. W&V named me an AI Leader 2026. The records below link to their original sources.





- [All talks and public contexts](https://www.svenspoede.com/speaking/#selected-contexts) — The existing public archive


Referenced public objects: evidence-knowledge-objects-zeiss-ai-assistants-commtech-2026, evidence-wuv-ai-leader-2026, evidence-wuv-connect-ai-shift-2026, evidence-adjmal-ai-transformation-podcast-2024


#### Clear scope. Real responsibility.

- Part ID: `boundaries`
- Label: Boundaries

Commercial work is paid. Selected contributions to academia and nonprofits can be pro bono, subject to availability.

I consider selected pro bono keynotes for universities and nonprofit organizations, and thesis interviews or feedback when time allows. Scope and availability are agreed individually.

Any work must fit my obligations to my employer, protect confidential information and be ethically sound. I share public knowledge and my own thinking; internal material and other people’s confidential work stay private.





- [Discuss the scope](mailto:web@svenspoede.com) — Describe the question, audience and timing




#### Choose a way to connect.

- Part ID: `interfaces`
- Label: Interfaces

Speaking, advisory, conversation and public thinking are different ways into the same work.

For a keynote, panel or workshop, start with Speaking. For a question about how your team works with AI, start with Advisory. LinkedIn is my professional profile; China Ticker is the podcast I co-host. The ZEISS link leads to my employer’s official website.





- [Speaking](https://www.svenspoede.com/speaking/) — Keynotes, panels and workshops

- [Advisory](https://www.svenspoede.com/advisory/) — Context and organizational design

- [Email](mailto:web@svenspoede.com) — Contact Sven directly

- [LinkedIn](https://de.linkedin.com/in/svenspoede) — Personal professional profile

- [ZEISS](https://www.zeiss.com/corporate/en/home.html) — Employer website

- [China Ticker](https://chinaticker.podigee.io/) — Podcast co-host






#### Sources

- [AG CommTech — Less documents, more knowledge objects – How ZEISS builds AI assistants systematically](https://agcommtech.de/2026/03/31/weniger-dokumente-mehr-knowledge-objects-wie-zeiss-ki-assistenten-systematisch-aufbaut/) (public-record)

- [W&V — Named W&V AI Leader 2026](https://www.wuv.de/themen/ki-tech/das-sind-die-ai-leaders-2026-sie-machen-aus-ki-messbare-veraenderung) (public-record)

- [W&V Connect: AI SHIFT — Speaking at AI SHIFT · 3 November 2026](https://www.wuv.de/connect-live-november-2026) (public-record)

- [Adjmal Sarwary Podcast — The AI Transformation](https://adjmal.com/2024/10/16/12-sven-spode-the-ai-transformation-redefining-business-empowering-people-and-reshaping-the-future/) (public-record)

- [Sven Spöde — LinkedIn](https://de.linkedin.com/in/svenspoede) (identity-profile)

- [CNBW — Sven Spöde](https://china-bw.net/de/nachrichten/neuer-co-fachsprecher-der-cnbw-arbeitsgruppe-artificial-intelligence) (role-announcement)

- [China Ticker](https://chinaticker.podigee.io/) (podcast)





### Knowledge objects

- ID: `knowledge-object`
- Type: concept
- Canonical page: https://www.svenspoede.com/concepts/knowledge-objects/

- Updated: 2026-09-19




A piece of knowledge becomes more useful when its meaning, evidence, boundaries and interfaces travel together.

A useful statement rarely travels alone. Someone needs to know what it means, what supports it, where it applies and how it may be used. A knowledge object keeps those relationships attached.

The object on this page is an example of that structure. Its subject is the idea itself. The same four layers organize the profile on the homepage, where their subject is a person and his work. The shape stays the same; the context changes.

## What the object carries

Meaning gives a statement its intended interpretation. Evidence makes its support inspectable. Boundaries preserve limits, uncertainty and responsibility. Interfaces let people and software use that same context in different forms.

These are connected concerns. A new source may narrow a claim. A changed boundary may alter what an interface should expose. Treating the parts as a single paragraph makes those changes harder to see.

## A worked example: a pilot invitation

Imagine a shared campaign workspace that is available to invited teams. A general release date has not been confirmed. A launch draft says: “Available to everyone next month.”

- **Meaning:** help eligible teams decide whether to request a pilot invitation.
- **Evidence:** the pilot note confirms invitation-only access, but gives no general release date.
- **Boundaries:** the draft may not broaden access or invent a date; a responsible person approves publication.
- **Interfaces:** a person can read the explanation, while an assistant can inspect explicit access, date and approval fields.

The object does not write the final message by itself. It gives a writer or reviewer enough context to see why the draft must change. The example is authored for this explanation; it is not a client result.

## A structure to inspect, not a guarantee

A structured claim can still be wrong. Sources can be weak, interpretation can drift and boundaries can become outdated. The useful property is that these questions have a place to live—and a place to be corrected.

My [AG CommTech interview](https://agcommtech.de/2026/03/31/weniger-dokumente-mehr-knowledge-objects-wie-zeiss-ki-assistenten-systematisch-aufbaut/) provides public context for how I approach knowledge objects in communication work. The four-part model here is my explanatory framing, not a universal standard.

What must travel with a piece of knowledge?
**Boundary:** An explanatory model with an authored example; no claim of a universal standard or client outcome.

#### Keep the meaning with the statement.

- Part ID: `meaning`
- Label: Meaning

Make the intended interpretation and use explicit.

A knowledge object is a piece of knowledge with enough context to be understood and used responsibly. This object describes that idea; the homepage uses the same structure to describe a person.

**Purpose:** Make the intended interpretation and use explicit.


**Source:** The definition authored on this page.


**Boundary:** This is a practical framing, not a universal knowledge standard.


**Example:** “Knowledge object” here means a statement kept with its support, limits and ways to use it.


Related parts: evidence, interfaces



#### Show what supports the idea.

- Part ID: `evidence`
- Label: Evidence

Keep claims attached to sources that someone can inspect.

A source can be a public interview, an observation or a recorded decision. What matters is the relationship: which statement does it support, and what does it leave open? A citation is a route to scrutiny, not a substitute for it.

**Purpose:** Keep claims attached to sources that someone can inspect.


**Source:** The linked AG CommTech interview provides public context; the four-part model and pilot example are authored here.


**Boundary:** A source about an approach does not prove every proposed use or outcome.


**Example:** The pilot note supports “invitation only”; it does not support “available to everyone next month”.


Related parts: meaning, boundaries



#### Keep limits and responsibility attached.

- Part ID: `boundaries`
- Label: Boundaries

State where a claim applies, what is unknown and who may decide.

Boundaries prevent a useful statement from becoming a promise it cannot support. They include scope, uncertainty, confidentiality and the difference between knowing something and having permission to act.

**Purpose:** State where a claim applies, what is unknown and who may decide.


**Source:** The scope and limits stated in this concept and its illustrative pilot example.


**Boundary:** A knowledge object can describe authority; it cannot grant authority by itself.


**Example:** An unconfirmed release date stays unknown. Publication still requires a responsible person.


Related parts: evidence, interfaces



#### Offer different views of the same context.

- Part ID: `interfaces`
- Label: Interfaces

Let people and software use the same authored meaning.

An article, an interactive object and structured fields can expose different views of the same context. The interface should suit its reader while preserving the sources and limits underneath.

**Purpose:** Let people and software use the same authored meaning.


**Source:** This article and its JSON and Markdown representations.


**Boundary:** A machine-readable view is context for an agent, not unrestricted permission to operate.


**Example:** A person reads the explanation; an agent inspects the same meaning, evidence and boundaries as explicit fields.


Related parts: meaning, boundaries




#### Relationships

- `meaning` → `evidence`: is supported by

- `evidence` → `boundaries`: sets the limits of

- `boundaries` → `interfaces`: constrains

- `interfaces` → `meaning`: carries into use



#### Sources

- [AG CommTech — Less documents, more knowledge objects – How ZEISS builds AI assistants systematically](https://agcommtech.de/2026/03/31/weniger-dokumente-mehr-knowledge-objects-wie-zeiss-ki-assistenten-systematisch-aufbaut/) (public-record)





### A working method

- ID: `working-method`
- Type: concept
- Canonical page: https://www.svenspoede.com/concepts/working-method/

- Updated: 2026-09-19




Frame the decision, connect the relevant knowledge, challenge the draft and release with clear ownership. Feedback can change the frame at any stage.

A method is useful when it helps people notice what needs to change. A rigid sequence can do the opposite: it carries an early misunderstanding through increasingly polished work.

I think of the work as a loop: frame a decision, connect the relevant knowledge, challenge the result and release with clear ownership. These are places to exercise judgment. They are not four steps that make judgment unnecessary.

## One announcement, four different questions

Consider the same illustrative pilot invitation used in the knowledge-object concept. Invited teams can try a campaign workspace; a general release date is unknown. An early draft announces that it will be “available to everyone next month.”

Framing asks who needs to decide what. Connecting brings the pilot note and review rules into the draft’s context. Challenging exposes the unsupported audience and date. Release hands over a corrected message to the person who can approve publication.

The value is not a longer checklist. It is the ability to locate the problem. Here, better phrasing would not repair the draft. Its framing conflicts with the actual scope.

## Why the arrows point back

Challenge can send work back to the frame. Perhaps the intended audience was never agreed, or the brief asks for a claim that available evidence cannot support.

Release also creates feedback. If readers mistake an invitation for general access, their response is evidence that the original framing needs work. A released message is a commitment with an owner, not an end to learning.

## What stays with people

Tools can help gather context, compare a draft with its sources and surface contradictions. Someone still has to decide whether the sources are appropriate, whether the trade-off is acceptable and whether the result should enter use.

This example is authored to explain the method. It is not a workflow running against a client system, and selecting a stage does not approve or publish anything.

How does context become a decision someone can own?
**Boundary:** The same illustrative pilot announcement, explored as a working method.

#### Name the decision before choosing the tool.

- Part ID: `frame`
- Label: Frame

Agree what should change for the audience and what a useful outcome would be.

Agree what should change for the audience and what a useful outcome would be.

A pilot invitation and a general launch announcement are different tasks.

**Purpose:** Agree what should change for the audience and what a useful outcome would be.


**Source:** Example brief: eligible teams need to decide whether to join a campaign-workspace pilot.


**Boundary:** A pilot invitation and a general launch announcement are different tasks.


**Example:** Invite the right teams to try the workspace. Do not promise a wider rollout.


Related parts: connect, challenge, release



#### Bring the necessary context into the work.

- Part ID: `connect`
- Label: Connect

Connect the brief, supported facts and review rules so they remain available when the draft changes.

Connect the brief, supported facts and review rules so they remain available when the draft changes.

More material is not automatically more context. Include what the decision depends on.

**Purpose:** Connect the brief, supported facts and review rules so they remain available when the draft changes.


**Source:** The example brief, invitation-only pilot note and human review rule.


**Boundary:** More material is not automatically more context. Include what the decision depends on.


**Example:** Keep “invitation only” attached to the draft, alongside the unconfirmed general release date.


Related parts: frame, challenge



#### Test the draft against what is known.

- Part ID: `challenge`
- Label: Challenge

Expose contradictions and missing support before fluency is mistaken for correctness.

Expose contradictions and missing support before fluency is mistaken for correctness.

Unsupported wording can be rejected. Missing facts must be checked, not guessed.

**Purpose:** Expose contradictions and missing support before fluency is mistaken for correctness.


**Source:** Example draft: “Launching for everyone next month.” Compare it with the example pilot note.


**Boundary:** Unsupported wording can be rejected. Missing facts must be checked, not guessed.


**Example:** “For everyone” exceeds the pilot scope. “Next month” adds an unconfirmed date. Return both claims to the brief.


Related parts: connect, frame, release



#### Put the result into use with an owner.

- Part ID: `release`
- Label: Release

Make a bounded handover: what is approved, who decides and what would trigger a revision.

Make a bounded handover: what is approved, who decides and what would trigger a revision.

A tool can prepare the result. Publication remains a human decision, and later evidence can require a correction.

**Purpose:** Make a bounded handover: what is approved, who decides and what would trigger a revision.


**Source:** Example review decision: use invitation-only wording; the responsible person approves publication.


**Boundary:** A tool can prepare the result. Publication remains a human decision, and later evidence can require a correction.


**Example:** “Invited teams can now try the campaign workspace.” If readers mistake this for general access, revise the framing.


Related parts: challenge, frame




#### Relationships

- `frame` → `connect`: defines what is needed

- `connect` → `challenge`: makes assumptions testable

- `challenge` → `release`: supports a bounded decision

- `challenge` → `frame`: reframes when a claim fails

- `release` → `frame`: returns feedback from use






### Speaking

- ID: `speaking`
- Type: service
- Canonical page: https://www.svenspoede.com/speaking/






Keynotes, panels, and workshops for marketing and communication teams figuring out how to use AI well.

Sven Spöde helps marketing and communication teams make sense of AI pressure and turn it into better decisions, better systems, and better work.

The best rooms are the ones that want practical clarity:
where GenAI helps, where judgment still matters, and how teams can build ways of working that do not collapse under tool pressure.

## Formats

Keynote, Fireside chat, Panel, Executive workshop

## Short bio

Systems architect for high-ambiguity, language-heavy organizations.

[Named AI Leader 2026 by W&V.](https://www.wuv.de/ai-leader2026)

## Talk angles

### How to use GenAI in marketing and communication work

Keynote / Workshop

Most teams do not need another prompt demo. They need a grounded way to decide where GenAI actually helps in content, research, planning, workflow design, and routine execution.

This talk starts from the practical questions I keep hearing in public seminars, conference stages, and industry panels: what GenAI is good for, where it creates risk or rework, and how teams can use it without losing trust, judgment, or operational clarity.

Good starter session for teams moving from curiosity and pilots into deliberate daily use.

### Most AI failure is context failure

Keynote / Executive workshop

Most AI projects do not break because the model is weak. They break because the team never agreed on the brief, the source material, the guardrails, or who gets to decide.

This talk looks at where that shows up in marketing and communication work, and what changes once context stops being an afterthought and becomes part of the operating model.

Useful for teams drowning in prompt activity but starving for shared context.

### Brand as coordination technology

Keynote / Panel

As soon as people and AI both produce language, brand stops being decoration. It becomes the thing that keeps tone, judgment, boundaries, and review logic from drifting apart.

This talk looks at brand as working infrastructure: how it can give teams and machines a shared frame without turning everything into bureaucracy.

Best for organizations where brand, governance, and AI execution have drifted apart.

### Disciplined attention in the age of generated noise

Fireside chat / Keynote

AI can generate more options than any team can use. That does not remove the need for attention; it raises it.

This talk is about how teams protect signal, keep judgment intact, and stop confusing more output with more progress.

Fits leadership rooms dealing with overload, acceleration, and weak signal selection.

### From tool hype to context-literate operating models

Executive workshop / Keynote

Most organizations do not need another AI pilot. They need an operating model that still works once the first wave of enthusiasm is over.

This talk looks at how tools, roles, memory, approvals, and context have to fit together so teams can move faster without getting messier.

Useful when tooling already exists, but execution still feels brittle or person-dependent.









### Architecture over dependency.

- ID: `advisory`
- Type: service
- Canonical page: https://www.svenspoede.com/advisory/






Turn fragmented AI experiments into a context-literate operating model your marketing and communication team can own. Advisory with Sven Spöde.

AI pilots work while someone remembers all the unwritten rules. A new brief, a different colleague or an exception exposes what the system does not know.

I help marketing and communication leaders redesign how knowledge, human judgment and machine action work together—so capability survives beyond the people holding it together.

## When this is useful

Your team has AI tools and promising experiments. Yet useful context is scattered, decisions depend on a few people, and every new task needs another round of explanation.

The question is how to turn that activity into an operating model your team can use and adapt.

## How we work

1. **Diagnose the friction.** Find where ambiguity, missing knowledge and unclear decisions create repeated work.
2. **Design the context.** Map what matters: sources, roles, constraints, memory and the judgments that belong with people.
3. **Make it operational.** Design the target operating model; build or specify the components that connect knowledge, tools and responsibilities.
4. **Hand over clearly.** Make the logic understandable and the system adaptable. Revisit the architecture when the complexity materially changes.

## What stays with your team

A usable operating model, decision logic, context architecture and tooling patterns. Clear guidance on responsibility and adaptation.

These are the foundations of a system your team can keep working with. The scope follows the problem; the goal is to make a permanent outside operator unnecessary.

## Is it a fit?

This is useful when you are ready to change how work is organized, and can involve the people who understand its context and consequences.

It is less useful if you only need someone to produce content indefinitely or recommend the next AI tool.

## Start with the friction

Tell me where AI work gets stuck, who is involved, and what you want your team to be able to do. We can use a short conversation to decide whether architectural work would help.









### Speaking in Düsseldorf · 1–2 December 2026

- ID: `evidence-kiarena-2026`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2026-12-01
- Status: upcoming

I’ll be joining KI:ARENA in Düsseldorf as a speaker. The conference takes place on 1–2 December 2026.
The conference focuses on AI in corporate communication and marketing, where the useful questions reach beyond individual tools to context, judgment and how teams work together.

I’ll be joining KI:ARENA in Düsseldorf as a speaker. The conference takes place on 1–2 December 2026.

The conference focuses on AI in corporate communication and marketing, where the useful questions reach beyond individual tools to context, judgment and how teams work together.

My work starts at that intersection: helping marketing and communication teams become AI-native while making AI systems context-literate.

The organiser’s website carries event and registration details.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [KI:ARENA — Speaking in Düsseldorf · 1–2 December 2026](https://kiarena.de/) (public-record)





### Speaking at AI SHIFT · 3 November 2026

- ID: `evidence-wuv-connect-ai-shift-2026`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2026-11-03
- Status: upcoming

On 3 November 2026, I’ll be speaking at W&V Connect: AI SHIFT at Hallesches Haus in Berlin.
The programme asks how AI is changing marketing: where use cases create value and what this means for teams, leadership and competencies.

On 3 November 2026, I’ll be speaking at W&V Connect: AI SHIFT at Hallesches Haus in Berlin.

The programme asks how AI is changing marketing: where use cases create value and what this means for teams, leadership and competencies.

For me, these questions start with context and judgment. An AI-native team needs ways of working that make both explicit.

The event runs from 12:00 to 16:00. The programme and participation details are linked below.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [W&V Connect: AI SHIFT — Speaking at AI SHIFT · 3 November 2026](https://www.wuv.de/connect-live-november-2026) (public-record)





### From AI experiments to sustainable communication practice · 24 September 2026

- ID: `evidence-hnu-connect-2026-ai-experiments-to-sustainable-communication-practice`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2026-09-24
- Status: recorded

HNU Connect · 24 September 2026.
A session on moving from AI pilots to communication workflows that hold up in everyday work. The focus: clear roles, decision paths, governance and structured knowledge, so teams can use generative AI without losing brand consistency or human judgment.

HNU Connect · 24 September 2026.

A session on moving from AI pilots to communication workflows that hold up in everyday work. The focus: clear roles, decision paths, governance and structured knowledge, so teams can use generative AI without losing brand consistency or human judgment.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [HNU Connect — From AI experiments to sustainable communication practice · 24 September 2026](https://www.hnu.de/transfer/transfer-kooperationen-mit-der-hnu/projekte-und-events/hnu-connect) (public-record)





### Named W&V AI Leader 2026

- ID: `evidence-wuv-ai-leader-2026`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2026-09-16
- Status: recorded

W&V has named me one of its ten AI Leaders 2026. The inaugural selection was announced on 16 September by the W&V editorial team together with the AI Transformation Institute.

W&V has named me one of its ten AI Leaders 2026. The inaugural selection was announced on 16 September by the W&V editorial team together with the AI Transformation Institute.

The recognition focuses on people bringing AI into everyday marketing work through changes to processes, teams and infrastructure.

That is the work I care about: giving AI the context it needs and helping teams build ways of working that hold beyond the next tool release.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [W&V — Named W&V AI Leader 2026](https://www.wuv.de/themen/ki-tech/das-sind-die-ai-leaders-2026-sie-machen-aus-ki-messbare-veraenderung) (public-record)





### Summer School — 8 July 2026 (archive)

- ID: `evidence-commtech-academy-summer-school-2026`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2026-07-08
- Status: recorded

The programme for the CommTech Academy Summer School on 8 July 2026 lists Sven Spöde among its speakers. The event connects AI in communications with automation, analytics, workflows, knowledge, and team design.

The programme for the CommTech Academy Summer School on 8 July 2026 lists Sven Spöde among its speakers. The event connects AI in communications with automation, analytics, workflows, knowledge, and team design.

This archived listing keeps the programme available as a reference.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [CommTech Academy — Summer School — 8 July 2026 (archive)](https://web-eur.cvent.com/event/6067eb24-f9e7-4ccb-9dad-12422d2f367b/summary) (public-record)





### Less documents, more knowledge objects – How ZEISS builds AI assistants systematically

- ID: `evidence-knowledge-objects-zeiss-ai-assistants-commtech-2026`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2026-03-31
- Status: recorded

AI assistants in communications do not fail first on prompting, but on the structure of the knowledge beneath them. This AG CommTech interview describes a shift from document logic to context logic: use cases, training, and governance are built in parallel, and communication knowledge is extracted from portals, campaign material, reporting, and best practices instead of being left inside files and slides.

AI assistants in communications do not fail first on prompting, but on the structure of the knowledge beneath them. This AG CommTech interview describes a shift from document logic to context logic: use cases, training, and governance are built in parallel, and communication knowledge is extracted from portals, campaign material, reporting, and best practices instead of being left inside files and slides.

The decisive move is to treat brand rules, personas, messaging, channel requirements, and regulatory constraints as explicit, versioned knowledge objects. Once knowledge becomes modular, machine-readable, and governable, AI stops being a loose layer on top of content production and becomes part of the operating model.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [AG CommTech — Less documents, more knowledge objects – How ZEISS builds AI assistants systematically](https://agcommtech.de/2026/03/31/weniger-dokumente-mehr-knowledge-objects-wie-zeiss-ki-assistenten-systematisch-aufbaut/) (public-record)





### Co-spokesperson of the CNBW AI Working Group

- ID: `evidence-cnbw-ai-working-group-co-spokesperson-2026`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2026-03-25
- Status: recorded

CNBW’s March 2026 announcement records Sven Spöde’s appointment as co-spokesperson of its AI Working Group. His background connects co-hosting the China Ticker podcast, GenAI for marketing and communications at ZEISS, and digital marketing in China.

CNBW's March 2026 announcement records Sven Spöde's appointment as co-spokesperson of its AI Working Group. His background connects co-hosting the China Ticker podcast, GenAI for marketing and communications at ZEISS, and digital marketing in China.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [China Netzwerk Baden-Württemberg — Co-spokesperson of the CNBW AI Working Group](https://china-bw.net/de/nachrichten/neuer-co-fachsprecher-der-cnbw-arbeitsgruppe-artificial-intelligence) (public-record)





### China Ticker #54: KI-Allianz Baden-Württemberg and practical AI adoption

- ID: `evidence-china-ticker-episode-54-ki-allianz-2025`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2025-12-08
- Status: recorded

This episode places AI in the context of regional innovation policy and applied adoption. Within a broader China Ticker format, the segment on the KI-Allianz Baden-Württemberg looks at how ecosystems, institutions, and local cooperation shape capability beyond headline-level announcements.

This episode places AI in the context of regional innovation policy and applied adoption. Within a broader China Ticker format, the segment on the KI-Allianz Baden-Württemberg looks at how ecosystems, institutions, and local cooperation shape capability beyond headline-level announcements.

The focus therefore shifts away from abstract AI futures toward the conditions under which implementation becomes possible: coordination, enablement, shared learning, and regional networks.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [China Ticker — China Ticker #54: KI-Allianz Baden-Württemberg and practical AI adoption](https://chinaticker.podigee.io/54-054-planet-china-ki-allianz-nachhaltigkeit-seltene-erden-und-china-speed) (public-record)





### Beyond the Hype: Responsible AI in Marketing & Communications

- ID: `evidence-cnbw-beyond-the-hype-2025`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2025-11-25
- Status: recorded

Responsible AI in marketing and communications is not mainly a question of principles, but of operating conditions. The session of 25 November 2025 addressed that tension directly: how teams use generative AI under real constraints of trust, brand coherence, privacy, and compliance.

Responsible AI in marketing and communications is not mainly a question of principles, but of operating conditions. The session of 25 November 2025 addressed that tension directly: how teams use generative AI under real constraints of trust, brand coherence, privacy, and compliance.

The framing moves the debate away from both uncritical adoption and generic caution. Governance appears here as part of implementation, not as a separate layer added after the fact.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [China Netzwerk Baden-Württemberg — Beyond the Hype: Responsible AI in Marketing & Communications](https://china-bw.net/de/nachrichten/2511-online-beyond-the-hype-responsible-ai-in-marketing-and-communications) (public-record)





### China Ticker #53: AI regulation in China and the EU

- ID: `evidence-china-ticker-episode-53-ki-regularien-2025`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2025-09-27
- Status: recorded

AI regulation becomes concrete only when it reaches production workflows. This episode maps the distance between legal language and publishing reality: labeling, metadata, platform obligations, and the need to separate processes across jurisdictions.

AI regulation becomes concrete only when it reaches production workflows. This episode maps the distance between legal language and publishing reality: labeling, metadata, platform obligations, and the need to separate processes across jurisdictions.

Its focus on China and the EU makes the comparison operational rather than abstract. The episode describes what compliance means once teams have to publish across markets with different regulatory expectations.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [China Ticker — China Ticker #53: AI regulation in China and the EU](https://chinaticker.podigee.io/53-ai-labeling-regulations-in-china) (public-record)





### Käpsele Innovation Festival 2025

- ID: `evidence-kaepsele-innovation-festival-2025`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2025-01-01
- Status: recorded

AI rarely appears alone in organizational reality. It intersects with digital transformation, leadership, virtual environments, experimentation, and the broader question of how innovation becomes usable inside institutions.

AI rarely appears alone in organizational reality. It intersects with digital transformation, leadership, virtual environments, experimentation, and the broader question of how innovation becomes usable inside institutions.

That broader setting shaped the festival's 2025 programme. Rather than isolating AI as a specialist topic, the programme placed it inside a wider discussion about transformation, implementation, and new forms of public-facing work.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [Käpsele Innovation Festival — Käpsele Innovation Festival 2025](https://www.innovation-festival.de/kaepsele-2025/speakerinnen-2025) (public-record)





### The AI Transformation

- ID: `evidence-adjmal-ai-transformation-podcast-2024`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2024-10-16
- Status: recorded

AI transformation is often discussed at the level of tools. This episode places the question at the level of organizations: how decision-making, role design, and value creation change once machine capabilities enter everyday business operations.

AI transformation is often discussed at the level of tools. This episode places the question at the level of organizations: how decision-making, role design, and value creation change once machine capabilities enter everyday business operations.

The conversation therefore sits between strategy and execution. It is less about isolated use cases and more about the structural consequences of AI for teams, processes, and the definition of expertise.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [Adjmal Sarwary Podcast — The AI Transformation](https://adjmal.com/2024/10/16/12-sven-spode-the-ai-transformation-redefining-business-empowering-people-and-reshaping-the-future/) (public-record)





### Intelligente Video-Tools im Praxistest

- ID: `evidence-kom-intelligente-video-tools-2024`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2024-10-10
- Status: recorded

Most discussion around AI video tools focuses on impressive outputs. This article takes a more useful route: it looks at continuity, usability, image quality, licensing, and the distance between a successful demo and a reliable production tool.

Most discussion around AI video tools focuses on impressive outputs. This article takes a more useful route: it looks at continuity, usability, image quality, licensing, and the distance between a successful demo and a reliable production tool.

The result is a practical evaluation framework rather than a trend piece. It describes what communication teams need to consider when AI-generated video moves from experimentation toward regular use.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [KOM Magazin — Intelligente Video-Tools im Praxistest](https://www.kom.de/digital/intelligente-video-tools-im-praxistest/) (public-record)





### DMEXCO 2024: How AI changes agency work

- ID: `evidence-dmexco-next-agency-summit-2024`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2024-09-18
- Status: recorded

By 2024, the relevant question for agencies was no longer whether AI would affect creative work, but how deeply it would reorganize it. The 2024 panel addressed that shift through the concrete pressure points of agency practice: speed, quality control, skill depth, and review logic.

By 2024, the relevant question for agencies was no longer whether AI would affect creative work, but how deeply it would reorganize it. The 2024 panel addressed that shift through the concrete pressure points of agency practice: speed, quality control, skill depth, and review logic.

The discussion focused less on technology adoption in the abstract and more on professional standards under changing production conditions. It explored what happens to agency work once AI becomes part of normal delivery.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [DMEXCO / The Next Agency Summit — DMEXCO 2024: How AI changes agency work](https://internetworld.at/dmexco-2024-brave-new-world-ai-veraendert-den-agenturalltag/) (public-record)





### GPRA Kommunikationscafé: KI in der Kommunikation

- ID: `evidence-gpra-ki-in-der-kommunikation-2024`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2024-04-05
- Status: recorded

AI changes communication work from the inside: not only through faster production, but through new expectations around efficiency, ethics, authorship, and quality. This podcast approaches the topic from that internal perspective rather than from a purely technological one.

AI changes communication work from the inside: not only through faster production, but through new expectations around efficiency, ethics, authorship, and quality. This podcast approaches the topic from that internal perspective rather than from a purely technological one.

The conversation stays close to day-to-day practice in PR and communications. It examines how professional standards shift once generative systems become available across the workflow.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [GPRA Kommunikationscafé — GPRA Kommunikationscafé: KI in der Kommunikation](https://www.gpra.de/podcast/ki-in-der-kommunikation/) (public-record)





### AI trends at DMEXCO 2023

- ID: `evidence-absatzwirtschaft-expert-statement-ai-2023`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2023-09-18
- Status: recorded

By late 2023, the AI debate in marketing had moved beyond first experiments and into strategic planning. Editorial roundups like this one capture the point at which the conversation shifted from novelty to workflow design, differentiation, efficiency, and professional standards.

By late 2023, the AI debate in marketing had moved beyond first experiments and into strategic planning. Editorial roundups like this one capture the point at which the conversation shifted from novelty to workflow design, differentiation, efficiency, and professional standards.

The format is concise, but it documents an important transition in German-speaking trade media: AI is no longer treated only as a tool topic, but as an organizational issue for marketing and communications.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [absatzwirtschaft — AI trends at DMEXCO 2023](https://www.absatzwirtschaft.de/dmecxo-das-sagen-expertinnen-zu-ki-251334/) (public-record)





### Using ChatGPT, Midjourney and more successfully in business

- ID: `evidence-mobilbranche-genai-seminar-2023`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2023-06-26
- Status: recorded

Generative AI became relevant for business not when individual tools appeared, but when teams started asking how those tools change routine work. A seminar format is useful in that phase because it connects tools such as ChatGPT and Midjourney with workflow questions, automation, and decision quality.

Generative AI became relevant for business not when individual tools appeared, but when teams started asking how those tools change routine work. A seminar format is useful in that phase because it connects tools such as ChatGPT and Midjourney with workflow questions, automation, and decision quality.

This context sits in that early transition from curiosity to operationalization. The focus is not on isolated tricks, but on how work changes once text and image generation begin to enter everyday processes.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [mobilbranche.de — Using ChatGPT, Midjourney and more successfully in business](https://de.linkedin.com/posts/svenspoede_chatgpt-midjourney-aiworkshop-activity-7069308416690671617-fuC8) (public-record)





### co³ | corporate content conference 2023

- ID: `evidence-corporate-content-conference-2023`
- Type: evidence
- Canonical page: https://www.svenspoede.com/speaking/#selected-contexts



- Event date: 2023-06-14
- Status: recorded

Once AI enters content operations, the central question is no longer whether content can be generated faster. The relevant issues are editorial quality, process design, governance, and the changing relationship between human judgment and machine output.

Once AI enters content operations, the central question is no longer whether content can be generated faster. The relevant issues are editorial quality, process design, governance, and the changing relationship between human judgment and machine output.

That is the context of this conference session on AI in content creation. It treats AI as part of an editorial production system and focuses on how teams adapt roles, standards, and review routines when generation becomes scalable.


**Boundary:** This is a public record of the named context. The source establishes its scope; it does not imply additional outcomes or permissions.



#### Sources

- [co³ | corporate content conference — co³ | corporate content conference 2023](https://de.linkedin.com/posts/svenspoede_am-14-juni-k%C3%B6nnt-ihr-mich-auf-der-co%C2%B3-konferenz-activity-7064167300324544512-HsCu) (public-record)






