Capabilities · AI strategy
An AI strategy that starts from your decisions, not the technology.
We help leadership teams choose where AI truly creates value, measure the starting point and build a roadmap their teams will adopt.
The challenge
Plenty of initiatives, few measurable results.
Most organizations have already tried AI. Ideas are rarely what is missing. What is often missing is a clear way to choose, measure and drive adoption.
- Pilots that never reach production
- No baseline to measure return on investment
- AI seen as a black box by managers
- Teams working around the new tools
- Governance and security concerns that stall everything
What we do
From inventory to roadmap.
AI inventory and assessment
We map current uses, available data and pain points to set a clear baseline.
Value-based prioritization
Each use case is scored on value, feasibility and risk, with KPIs defined from day one.
Roadmap and governance
A realistic sequence of projects, roles, usage rules and a funding model.
AI literacy
Targeted training for executives and teams to decide on and use AI with judgment.
Change management
We apply the 10-20-70 rule: 10% algorithms, 20% technology, 70% people and processes.
Post-delivery follow-up
We stay involved after rollout to measure results and adjust.
How we work
A short, measurable approach grounded in the business.
Understand
Interviews, data and processes: we understand the business before discussing tools.
Measure
We set the baseline and the KPIs that will prove the value.
Prioritize
We keep the few use cases that truly matter.
Embed
We support adoption and track results over time.
Where should we start with AI in our company?
With an inventory: what you already do, the data you have and your most expensive processes. That lets you pick the first use cases on facts.
How do you measure the ROI of AI?
By setting a baseline before the project (time, cost, errors, revenue) and measuring the same indicators after deployment.
Do we need a large internal team to get started?
No. A small accountable team, supported by outside specialists when needed, is often enough for the first use cases.
Let’s talk
A data or AI problem worth solving?
Tell us about the situation. We’ll reply with a first read of the problem and concrete next steps, with no commitment.
Write to us