Better decisions. By design.

We help enterprise teams make better decisions — on AI, strategy, and product. Through facilitated workshops that do the work, and training that builds your team's ability to run that work independently.

Corporate training

We train your teams.

Hands-on training that helps teams across your organisation collaborate and make better decisions. Your people leave with the full methodology and everything needed to run structured sessions independently — playbooks and facilitation materials. One investment. The capability stays.

Request the training catalog

EXPERT Facilitation

We run the sessions.

DSA facilitates the session. Your team brings the business context. We bring the process and accountability for reaching a real decision — a validated AI use case, a redesigned workflow, a clear strategic direction. For high-stakes moments where the cost of getting it wrong is too high.

Request the facilitation guide

AI WORKSHOPS & TRAININGS

For organisations navigating AI

Where to place the bet, how to redesign the work, and how to build the internal capability to keep doing it.

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

Innovation & Product SERVICES

For teams solving hard problems

For teams where the cost of solving the wrong problem — or the wrong solution — is too high to guess.

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

AI Facilitator Training

Join the upcoming cohorts!

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 the AI Copilot. Max 8 participants per cohort.

8 spots left
AI Problem Framing + AI Workflow Sprint

Berlin · Oct 14–16, 2026 · 3 days · €2,500

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

Berlin · Sept 9-11, 2026 · 3 days · €2,500

Reserve your spot!

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.

Read Case Study

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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AI Facilitators are your Forward Deployed Facilitators

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Anthropic says slow down. Are you listening?

Building got cheap, so teams skip validation. Anthropic's Founder's Playbook says don't. Read it for how discovery survives an org chart.

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The Playbook for AI Transformation

HBR named the AI transformation problem. Here's the operating model underneath it — three pillars, two methods, three ROI horizons.

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