01 / DISCOVERY & STRATEGY
AI Opportunity Discovery & Strategy
We map workflows, lost time, data readiness, risk, and business-value potential to select the first product with a clear rationale.
We start by making visible how work actually flows, where time is lost, and which systems and data are involved. Opportunities are ranked not by bright ideas but by business impact, data readiness, and integration boundaries.
The output is not a deck; it is a decision tool: which problem to enter, in which order, with which first product — defined together with governance and risk boundaries.
Place in the method
- 01Map
- 02Prioritize
- 03Prove
- 04Build
- 05Embed
- 06Compound
FLOW
How it runs
Each stage leaves an artefact behind; the next one builds on it.
- 01
Watching the work where it happens
The real flow is walked with the teams: steps, handovers, waiting work, the systems and data it touches. Where time is lost comes from observation, not from the org chart.
ARTEFACTFriction map
- 02
An honest ranking
Candidates land on the impact and feasibility axes. Impact is scored by the owner of the process metrics, feasibility by the owners of the systems — when one person scores both, the matrix stops being a tool.
ARTEFACTPriority matrix
- 03
Defining the first product
For the chosen problem: scope, trust boundary, and success criteria written in the language of behavior — together with the riskiest assumption and the cheapest evidence that can test it.
ARTEFACTProduct definition
- 04
Roadmap and decision
Which problem, in which order, with which preconditions — with slow access and data preparations starting today. The output is not a deck; it is a decision tool.
ARTEFACTRoadmap
What we produce
- AI transformation strategy
- Workflow discovery and friction map
- Opportunity and readiness analysis
- Data and integration mapping
- Governance and risk plan
- Product definition and roadmap
When it is the right step
- AI experiments exist, but none reach production
- It is unclear where to start
- The investment decision needs an explainable ranking
When it is not
If the problem is already clear and today's measurement is in hand, discovery slows you down; go straight to the product.
Custom AI ProductsIf the system is built but unused, the problem is not discovery — it is adoption.
AI Adoption and Operating Capability
Outside the scope
- Discovery does not produce a working product; it produces the definition and order of the first one.
- We do not score the ranking for you: process owners score impact, system owners score feasibility; we keep the frame and its honesty.
- We do not write reports to justify a decision already made; the ranking works before the decision.