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Programs

From AI curiosity to AI-native enterprise.

Not consulting. System deployment. Each phase produces software, governance, operating rhythms, and agents instead of slide decks and recommendations.

The Transformation Arc

A structured path from readiness to AI-native operations.

AIKINSEY programs map to the ACMM maturity model and move enterprises from L1/L2 AI tool adoption toward L4/L5 governed intelligence operations.

Executive Briefing™

2 days. Leadership alignment, current-state review, industry AI OS overview, readiness conversation, and 90-day decision roadmap.

Output: Executive decision brief

Diagnose™

4–6 weeks. ACMM assessment across strategy, data, process, agents, and governance. Map constraints, opportunities, and business value.

Output: readiness score + use cases

Architect™

6–8 weeks. Target architecture, governance framework, deployment model, data access design, and first-agent blueprint.

Output: deployment architecture

Build™

12–16 weeks. Deploy Control Plane, connect enterprise systems, configure policies, build first agents, and prepare production readiness.

Output: working control plane

Launch™

4–8 weeks. Controlled go-live, adoption support, user training, audit readiness, outcome measurement, and operating rhythm setup.

Output: governed go-live

Scale™

Ongoing. Expand agents, functions, regions, and business units while improving policies, cost, quality, and learning loops.

Output: intelligence operations

What happens in each phase

Every phase has a clear purpose, concrete activities, and tangible outputs.

PhasePurposeActivitiesOutputs
BriefingAlign leadership.Opportunity framing, industry OS review, readiness discussion, business outcome framing.Decision memo, 90-day roadmap, stakeholder alignment.
DiagnoseMeasure readiness.ACMM interviews, system inventory, data and governance assessment, opportunity scoring.ACMM score, capability gaps, value map, prioritized use cases.
ArchitectDesign the operating model.Target-state architecture, governance controls, deployment topology, agent design, success metrics.Architecture blueprint, governance model, launch plan.
BuildDeploy the first working layer.Control Plane setup, connectors, policies, agent templates, evaluation, security review.Production-ready control plane, first agents, audit configuration.
LaunchMove safely into production.User onboarding, go-live support, quality monitoring, adoption, incident handling, baseline tracking.Live workflow, operating rhythm, outcome dashboard.
ScaleMake intelligence repeatable.New agents, new units, policy refinement, cost optimization, academy training, managed ops.Reusable intelligence operating model and ACMM progression.

Revenue Model

AIKINSEY combines platform subscription, structured transformation delivery, managed intelligence operations, and ecosystem economics.

LineModelRole in the business
Executive BriefingFixed feeExecutive entry point and readiness alignment.
Diagnose, Architect, Build, LaunchFixed fee by phaseStructured transformation deployment with clear outputs.
Platform SubscriptionAnnual recurringCore ARR for Control Plane, products, agents, and governance.
Managed Intelligence OpsMonthly recurringOperational support, monitoring, optimization, and governance reviews.
Agent ExchangeRevenue shareMarketplace economics for pre-built governed agents.
Academy & CertificationCourse feesInternal capability building for customer and partner teams.

Every enterprise AI journey starts with a single, structured step.

Your leadership team. A clear decision about whether, how, and when to become AI-native.

Book an Executive Briefing →

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