Four ways
to work with you.
Independent services that also work combined. Each one adapts to the size and moment of your company — with executive judgment, not technical jargon.
Strategic diagnosis
We audit the real situation before investing a single dollar in technology. We identify the value gap, hidden costs and the early symptoms of Shadow AI that nobody is currently watching.
- Honest maturity map (no makeup)
- Hidden cost identification by process
- Pragmatic Viability Filter per use case
- Early Shadow AI detection
- Executive report: invest now or wait
Human factor
70% of the value of any AI project depends on people, processes and organization — not on algorithms. We design change management, tiered delegation and literacy by role.
- Change management strategy per area
- Tiered human–AI delegation model
- Literacy program by role and level
- Responsible-use and supervision policy
- Real adoption metrics (not attendance metrics)
Data architecture
Any AI model amplifies existing chaos. We work on the foundations: basic governance, silo removal and the minimum architecture required — without aspirational over-engineering.
- Data quality diagnosis per domain
- Owners and basic governance definition
- Silo removal plan
- Realistic target architecture (not aspirational)
- Access, privacy and traceability policy
Execution roadmap
Prioritization with matrices, a 90-day pilot and scaling with judgment using the Flywheel Effect. The goal isn't to test technology: it's to produce measurable results.
- Value/viability prioritization matrix
- 90-day pilot design with success criteria
- Flywheel-based scaling plan
- Metrics system and quarterly review
- Executive support for the first decisions