AI can do the work. Judgment is still human.

AI transformation is more than a technology problem. People across the organization have to decide where AI creates value, how the work should change, and what's worth building. We give them a structured way to come together and make those judgment calls well.

AI ENABLEMENT & ADOPTION

Help your teams change how work gets done.

For AI Enablement teams and AI Champions expected to move beyond individual AI adoption and create measurable business impact.

Explore AI Enablement Training

FORWARD DEPLOYED ENGINEERS

Develop the facilitation capability FDEs need.

FDEs combine engineering with customer discovery and cross-functional decisions. Train them to guide those conversations with confidence.

Explore FDE AI Facilitation Training

AI VENDORS & IT

Scope AI projects before the build starts.

Equip technical delivery teams with a consistent discovery process to clarify client or internal business requests before committing to a build.

Explore AI Facilitation Training for AI Vendors & IT

AI WORKSHOPS

For teams making high-stakes AI decisions

Need to decide where to invest in AI or redesign a business-critical process? We facilitate workshops to tackle those challenges.

If you need to do this repeatedly across your organisation, we help you build an internal AI Lab.

The AI Lab

Run your AI discovery engine

AI Problem Framing

Find the AI bets worth making

AI Workflow Sprint

Redesign how work gets done with AI

THE CLASSIC WORKSHOPS

For teams solving hard problems

The Design Sprint was originally developed at Google Ventures. Problem Framing was developed by us. We've spent the past decade using and refining both methods with organisations across industries to tackle complex, high-stakes challenges.

Problem Framing

Align on a problem worth solving

Design Sprint

Validate solutions before you build

meet the founders

Who you are working with

John and Dana Vetan have facilitated hundreds of sessions across cultures and industries — not from the stage, but at the whiteboard with the team. Over a decade of working inside large, complex organisations, they adapted the Design Sprint and Problem Framing methodologies for enterprise realities: shorter formats, stronger problem framing, better team dynamics.

When AI changed everything, they built what didn't exist yet — AI Problem Framing and the AI Workflow Sprint — structured methods for helping organisations move from AI hype to real, aligned execution without wasting time on the wrong problems.

The goal has always been outcomes not good vibes, decisions not fake alignment, validation not opinions.

More about us

PUBLIC TRAINING - BERLIN

AI Facilitator Training

Three days of hands-on training in the full AI facilitation methodology — AI Problem Framing on day one, AI Workflow Sprint on days two and three. You leave with the full toolkit to run AI decision-making sessions independently: playbooks, facilitation slides, agendas and AI capability cards. Max 8 participants per cohort.

8 spots left
AI Problem Framing + AI Workflow Sprint

Berlin · Dec 9–11, 2026 · 3 days · €2,500

Reserve your spot!
8 spots left
AI Problem Framing + AI Workflow Sprint

Berlin · 2027 Dates TBA · 3 days · €2,500

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Organisations we've worked with

Turner Construction — Building an AI operating model that compounds

Turner Construction Company came with a real problem: 11,000 employees, hundreds of active job sites, and decades of operational knowledge locked inside people’s heads. Leadership knew AI was part of the answer — they just didn’t know which part. DSA ran an AI Problem Framing session with Directors and VPs, facilitated AI Workflow Sprints across three teams, and trained Turner’s own people to run the methodology independently.

Read Case Study

ENOC Dubai— Building strategic sprint capability for senior energy leaders

ENOC brought together senior leaders from across commercial, retail, industrial, aviation, sustainability, HSE, and operations functions to explore how Design Sprints apply to real enterprise challenges.
Using their own organizational problems, teams practiced defining long-term goals, surfacing assumptions, and framing Sprint Questions before moving toward solutions. They left with a practical way to create alignment before execution begins.

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Red Bull — Validating a new platform before committing to build it

Red Bull’s digital team had a problem: too many feature ideas, no structured way to decide which ones were worth building. In one focused week — a Problem Framing day followed by a four-day Design Sprint — a cross-functional team moved from scattered ideas to a tested prototype validated with real users. They left with a clear direction for their Community platform, a prioritised feature backlog, and a repeatable approach to customer-centric product decisions.

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Which? — Turning a one-day training into an embedded practice

Which? didn't arrive at Problem Framing through a formal mandate. They were winging it — running sessions without a structured method, trying to filter incoming requests without a shared language. Over three years and three training programs, that changed.

Today Problem Framing isn't something a few people on the UX team know. It's how the organisation makes decisions.

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The right decision at the right moment changes everything. Let's find out if we're the right fit.

Book a call

Worth reading

Practical thinking on AI, product decisions, and the methods that make them stick.

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Which workflows can an AI Champion take on alone, and which need co-design?

Help your AI Champions move beyond task fixes. Know when workflow redesign needs co-design and how to involve the people who share the work.

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The AI Champion role is evolving from adoption to transformation

See why AI Champion programs built for adoption now need new skills, methods and structures to deliver measurable transformation.

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Why not just build it? What could make us say no?

Two questions to ask in your next AI meeting — so you can tell a cheap prototype from an expensive commitment before you invest.

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