Forward Deployed Creative
AI implementation
I implement AI in creative and marketing teams using the Forward Deployed Creative model. I work inside the team, on its processes and tools, and stay until the team works the new way on its own.
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Working model
What is Forward Deployed Creative
The name refers to the Forward Deployed Engineer: a model popularized by Palantir, in which a specialist works on site with the client, inside their team and on their problems (The Pragmatic Engineer ↗).
The creative version is a creative director and technologist in your team: designing graphics and video production pipelines, choosing tools, teaching people and changing working habits.
| Comparison | Training | Agency | Forward Deployed Creative |
|---|---|---|---|
| Who does the work | The team, after the workshops | The agency team | Your team together with me |
| What stays in the company | Knowledge and training materials | Finished materials | A working process, tools and a trained team |
| How long it takes | From a 1:1 session to a multi-week program | The length of the commission | 1-6 months |
How AI implementation works in a company
- 01
Diagnosis
1-2 weeks
Interviews with the team, a process review and an AI audit: which tools the team uses and where it loses time.
- 02
Strategy
1 week
Tool selection and a 90-day roadmap.
- 03
Implementation
4-8 weeks
Creative pipelines, working standards and a proof of concept on a real project.
- 04
Support
ongoing
An audit after 30 days and process adjustments.
Scope
What I implement
- AI graphics and video production pipelines: an AI workflow fitted to the team, with repetitive steps automated.
- Working standards and prompt libraries for the brand (master prompts).
- Custom tools built around the team’s process (examples below).
- Tool and license selection.
- Change management: leading the team through the change, from needs analysis and team development to new working habits. I hold the APMG Change Management certificate.
- Team training and internal AI ambassadors.
- Legal rules: copyright and the AI Act.
Tools I built
I build my own tools for working with AI: image, video and text. Three of them show what a tool fitted to your team’s process can look like.
AI frames and video
OtterMind Studio
Everyone on the team creates polished AI frames and video, ready for campaigns. The craft of a camera operator and a gaffer is stored in presets: you pick the shot, the light and the camera move.
- Create: shot type, location and time of day.
- Refine: a lighting library, from portrait to cinema.
- Animate: camera moves, including push-in, orbit and handheld.
- Models: Nano Banana, Veo 3.1, Kling and Seedance.
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Shot type
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Location
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Time of day
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Camera move
High-volume creative
OtterMind Kampanie
You deliver a large volume of creatives for different formats faster. AI generates the creatives, while the layout and the brand stay under the team’s control.
- Brief and strategy
- Layout
- Personas and products
- Headlines
- Board and export
- The brand is saved once: logo, colors, fonts and tone of voice keep every creative consistent.
- Layout templates decide where the product, the headline and the logo go.
- Export to Facebook and Instagram formats (feed, Stories, Reels), Google, YouTube Shorts, LinkedIn, TikTok and Pinterest in one go.
Texts ready to publish
Czystopis
Cleans up text from an AI chat before publishing and helps give it a natural sound.
- Removes hidden code from the chat and returns clean HTML for your CMS.
- Points out AI patterns to rewrite in your own words.
- Suggests Polish language and SEO fixes.
- The text stays in your browser.
Implementation examples
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2024
Ringier Axel Springer Polska
AI Academy: an online training for about 500 people in two sessions and group workshops in Kraków and Warsaw, delivered as part of my work at Labcon / Group One.
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2025-2026
Vet Planet
An analysis of the creative team and production processes at an online pet store from a change management perspective, a presentation of the findings and the implementation of my recommendations.
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2023
Rich One
A rich media advertising product built from scratch: strategy, creative process, design and the first programmatic templates.
Outcome: the product became the basis of the agency’s premium offer.
Article in Wirtualne Media (in Polish) ↗
Working with AI tool makers
- I supported EVRN ↗ in building their tool: a browser app that builds a 3D scene from a single image for directing generative video.
This way I know tools from the side of how they are made, which leads to better tool selection and setup in implementations.
Who leads the implementation
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2004-2019
Agencies and freelance
Motion design and campaigns at Ogilvy, Isobar / Dentsu and Artegence, then as a freelancer for adidas Poland, VW, Kia, Sony and Red Bull.
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2019-2024
Labcon / Group One
Digital Transformation & Design Lead: implementing tools across the whole organization, the design team, AI training programs and the AI Academy.
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since 2024
OtterMind
AI implementation in creative teams, AI films and campaigns, training and postgraduate lectures.
I lead every implementation myself. I have worked in design, advertising and film for over 20 years, so I know how creative teams work from the inside: from the brief, through production, to client sign-off.
At Labcon / Group One, as Digital Transformation & Design Lead, I was responsible for implementing tools across the whole organization. At the same time I led the design team and the digital transformation, built AI training programs from scratch and ran the AI Academy for about 500 people.
Today I combine implementation with production and education. I make AI films and campaigns myself, train in the Google and SGH “Umiejętności Jutra” (Skills of Tomorrow) program, and lecture in postgraduate programs at WSIiZ in Rzeszów and Collegium Da Vinci in Poznań. I taught the graphics and video module in two editions of the AI_Marketers course. I hold the APMG Change Management certificate. More about me.
Who it’s for
AI for companies with creative and marketing teams:
What stays in the company after implementation
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Pipelines and standards
Working production processes and rules for working with AI.
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Tools
Fitted to the process and to the licenses available in the company.
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Team
Trained people and internal AI ambassadors.
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Roadmap
A plan for the next steps after the project ends.
Frequently asked questions
How long does AI implementation in a company take?
From 1 to 6 months: diagnosis (1-2 weeks), strategy (1 week), implementation (4-8 weeks) and support with an audit after 30 days.
How much does AI implementation cost?
I prepare an individual quote after the diagnostic call.
How does implementation differ from training?
Training teaches people. Implementation changes the work process and stays in the company: the pipelines, standards and tools keep working after the project ends. Training, courses and implementation.
Which tools do you implement?
I choose tools for the team’s goal and process, together with the licenses and working rules that apply in the company. When the process calls for it, I build a tool for the team, like OtterMind Studio, OtterMind Kampanie and Czystopis.
How does this relate to the AI Act and copyright?
Legal rules are part of the implementation: what data to enter into the tools, copyright in materials created with AI, labeling such content and the AI Act requirements for marketing and creative teams.
Let’s talk about your team
On a diagnostic call we look at how your team works today and which process is worth starting with.
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