AIKINSEY programs map to the ACMM maturity model and move enterprises from L1/L2 AI tool adoption toward L4/L5 governed intelligence operations.
2 days. Leadership alignment, current-state review, industry AI OS overview, readiness conversation, and 90-day decision roadmap.
4–6 weeks. ACMM assessment across strategy, data, process, agents, and governance. Map constraints, opportunities, and business value.
6–8 weeks. Target architecture, governance framework, deployment model, data access design, and first-agent blueprint.
12–16 weeks. Deploy Control Plane, connect enterprise systems, configure policies, build first agents, and prepare production readiness.
4–8 weeks. Controlled go-live, adoption support, user training, audit readiness, outcome measurement, and operating rhythm setup.
Ongoing. Expand agents, functions, regions, and business units while improving policies, cost, quality, and learning loops.
FDE programs give leaders a concrete way to test, build, launch, and internalize AI deployment capability.
5–10 days. Pick one high-value workflow, map constraints, build a working prototype, create evals, and define the production path.
12–16 weeks. Deploy the Control Plane, connect systems, build governed agents, launch the first workflow, and measure outcomes.
8–12 weeks. Train internal FDEs, AI product owners, architects, governance specialists, and AI operations teams.
Every phase has a clear purpose, concrete activities, and tangible outputs.
| Phase | Purpose | Activities | Outputs |
|---|---|---|---|
| Briefing | Align leadership. | Opportunity framing, industry OS review, readiness discussion, business outcome framing. | Decision memo, 90-day roadmap, stakeholder alignment. |
| Diagnose | Measure readiness. | ACMM interviews, system inventory, data and governance assessment, opportunity scoring. | ACMM score, capability gaps, value map, prioritized use cases. |
| Architect | Design the operating model. | Target-state architecture, governance controls, deployment topology, agent design, success metrics. | Architecture blueprint, governance model, launch plan. |
| Build | Deploy the first working layer. | Control Plane setup, connectors, policies, agent templates, evaluation, security review. | Production-ready control plane, first agents, audit configuration. |
| Launch | Move safely into production. | User onboarding, go-live support, quality monitoring, adoption, incident handling, baseline tracking. | Live workflow, operating rhythm, outcome dashboard. |
| Scale | Make intelligence repeatable. | New agents, new units, policy refinement, cost optimization, academy training, managed ops. | Reusable intelligence operating model and ACMM progression. |
AIKINSEY combines platform subscription, structured transformation delivery, managed intelligence operations, and ecosystem economics.
| Line | Model | Role in the business |
|---|---|---|
| Executive Briefing | Fixed fee | Executive entry point and readiness alignment. |
| Enterprise AI Bootcamp | Fixed fee | Fast FDE entry point for workflow selection, prototype, eval plan, and production path. |
| Diagnose, Architect, Build, Launch | Fixed fee by phase | Structured transformation deployment with clear outputs. |
| Forward-Deployed AI Transformation | Fixed fee + platform scope | Hands-on deployment of connectors, agents, governance, evals, and production workflows. |
| Platform Subscription | Annual recurring | Core ARR for Control Plane, products, agents, and governance. |
| Managed Intelligence Ops | Monthly recurring | Operational support, monitoring, optimization, and governance reviews. |
| Agent Exchange | Revenue share | Marketplace economics for pre-built governed agents. |
| Academy & Certification | Course fees | Internal capability building for customer and partner teams. |
Your leadership team. A clear decision about whether, how, and when to become AI-native.
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