Work / Case study
Avidly AI
Building an agency’s everyday AI capability.
We gathered scattered AI experiments into shared ways of working across the agency.
AI strategy, operating systems and enablement · 2025–
- Client
- Avidly AI
- Project
- AI strategy, operating systems and enablement
- Year
- 2025–
- Sector
- Agency operations, AI
- My role
- AI strategy · Operating systems · Enablement
- Themes
- AI, Culture, Transformation
- Sheet
- 04

I lead the meeting point of strategy and AI at Avidly, building the working systems, skills and point of view that turn generative AI into everyday agency capability.
01 Challenge
From experimentation to everyday work
Generative AI creates possibilities across almost every part of an agency. Research, strategy, writing, design and production all offer places to experiment. Making those experiments useful across teams requires shared practices, appropriate context and people who can judge the results.
Since January 2025, I have led Avidly’s strategic AI capability alongside my wider brand and business strategy remit. The work brings together the tools people use, the systems around them and the judgment required to produce work clients can trust.
02 Solution
Giving AI the context to be useful
The foundation includes Avidly’s AI playbook, reusable workflows and shared Claude Projects infrastructure. Finnish and English tone-of-voice systems translate brand principles into working LLM prompts. Together, these give teams a repeatable way to bring the right context into their work.
The practical questions are familiar agency questions. What are we trying to achieve? Who is the audience? What should this brand sound like? What information can we rely on? Who owns the final decision? Making those questions explicit improves how people brief, use and review AI-assisted work.

03 Solution
Avidlyze: the brand as an agent
I am building Avidlyze, an agent that redesigns any Google Slides or PowerPoint deck in Avidly's brand. It reads the content, the visual hierarchy and how the elements relate, then rebuilds the slides.
I designed the architecture and the intent model it works from, built it with OpenAI Codex and Google Antigravity as coding agents, and added validation and regression tests to keep the output reliable.

04 Solution
Services where AI needs people
The same thinking shapes Avidly's AI services for clients. They follow four steps: inspiration and understanding, insight and exploration, strategy and enablement, and design and creation. Each service states what AI adds and why it is not enough on its own, from AI-assisted brand audits and consumer insight to AI strategy for marketing and fast video production.
Three packages each answer one client question. Tekoälymaine (AI reputation) asks what AI says about the brand, and ends in a situation report and a 90-day plan. AI Playbook asks how the team should use AI, and ends in pilots, a playbook and rollout. Brand AI System asks how the brand stays recognisable, and gives AI the brand's own context, voice, examples and quality criteria.

05 Impact
Building capability through practice
Training is part of the operating system. Every month, Erno Bärlund and I run AI-klinikka for the whole organisation of about 100 people: AI news, AI work from our own projects, and practical tips. The nineteenth session was held in September 2026. It gives everyone a regular place to examine tools, share working methods and discuss the decisions that arise in real projects.
I run tens of AI-assisted projects each year, alongside client AI strategy and foresight work. That practical experience feeds back into the workflows, training and advice we provide.

06
A public point of view
My external work connects AI adoption with a wider question: how does human contribution gain value as production becomes more accessible? Talks and sessions span an AI and marketing webinar in 2023, Finnvera training in 2024, the 2026 webinar series, an Oulu session and VERGE: Future of Work.
The March 2026 public webinar with Erno attracted 236 registrations. It provides a public example of the thinking behind the work: human interpretation, taste and context are central to using AI well.

Selected artefacts






- 01What we created
- AI playbook
- Reusable workflows
- Bilingual tone-of-voice systems
- Shared Claude Projects infrastructure
- Avidlyze presentation agent (in development)
- AI clinics and training
- Client AI strategy and foresight
- 02My role
Since January 2025 I have led Avidly’s strategic AI capability alongside brand and business strategy.
- 03Impact
- Monthly AI clinic for the whole organisation of about 100 people. The 19th was held in September 2026.
- 236 registrations for the March 2026 webinar.
- Tens of AI-assisted projects each year.
- AI playbook, reusable workflows, bilingual tone-of-voice systems and shared Projects infrastructure.
- See also