Clear problems solved. Concrete deliverables. A named next step.
Services
Seven service lines create a complete AI-first offer, organized around the enterprise problems that bring leaders to us, not an internal capability map.
Every engagement, the same promises.
Cross-cutting principles
An owner, a measurable outcome, a production path, an adoption plan and a responsible operating model.
Value before volume
Prioritize a small number of measurable opportunities.
Evidence before scale
Test value, quality, safety and behavior, not technical feasibility alone.
Humans stay accountable
Design oversight and escalation around consequence and uncertainty.
Reuse before rebuild
Work with the client's platforms and standards where they are fit.
Open by design
Use clear architecture, portable knowledge and explicit vendor trade-offs.
Transfer from day one
Pair, document and teach throughout, not only at handover.
Start where your situation actually is.
Ways to engage
| Format | Best for | Indicative shape | Core output |
|---|---|---|---|
| Executive AI briefing | Leadership alignment and decision framing | 1–2 facilitated sessions | Shared context, opportunity themes and decisions required |
| AI opportunity & readiness sprint | Moving from broad ambition to priorities | 2–4 weeks | Readiness baseline, prioritized use cases and 90-day action plan |
| Value proof | Testing value, feasibility, risk and adoption before scale | 6–10 weeks | Working pilot, evidence scorecard and scale/no-scale decision |
| Build & scale program | Production delivery across systems and teams | Multi-phase, typically 3–9 months | Production capability, controls, adoption and ownership transfer |
| Embedded AI squad | Adding senior cross-functional capacity to a client program | Dedicated team, sprint cadence | Prioritized delivery backlog and integrated capability |
| Fractional CAIO / advisory | Ongoing executive leadership without a full-time role | Monthly retainer | Portfolio direction, governance, vendor and investment decisions |
| Managed AI improvement | Operating and improving live AI products | Ongoing service with agreed levels | Monitoring, evaluation, optimization, support and value reviews |