Operating model
How intent, specifications, decisions, implementation, review, testing, release, and handoff stay connected.
AI delivery operating model consulting
The Enterprise AI Delivery Blueprint turns scattered experiments, tool choices, and governance concerns into one operating model leadership can fund, engineering can run, and risk owners can defend.
The decision
This engagement is for organizations that have tools, pilots, or executive pressure—but do not yet have a repeatable way to carry AI-assisted software delivery from business intent through production and handoff.
If leadership only needs one team aligned before committing budget, begin with the enterprise AI adoption Workshop. If a sponsor is already ready to prove the operating model on real work, go directly to the AI-assisted software delivery Pilot.
What the Blueprint decides
How intent, specifications, decisions, implementation, review, testing, release, and handoff stay connected.
Which decisions remain human-owned, where agents assist, and who accepts risk and release evidence.
How tools are selected per step within security, data, procurement, and client-environment constraints.
Which bounded project can prove the model, what it must measure, and what would justify broader adoption.
Four weeks
Map how work moves today, where context breaks, which controls are real, and which delays or risks keep repeating.
Define the connected artifacts, decision rights, quality gates, approved tools, evidence standards, and operating routines.
Select one credible pilot, bound the scope, identify the sponsor and team, and write measurable acceptance conditions.
Deliver the architecture, policy, prioritized backlog, responsibilities, risks, schedule, and investment case needed for a decision.
What remains
The Blueprint is complete when it supports a funded decision—not when a workshop calendar is empty.
Workflow, roles, decision rights, quality gates, evidence standards, and handoff routines.
System boundaries, tool and model policy, security constraints, integration assumptions, and ownership.
A prioritized, bounded first proof with sponsor, dependencies, acceptance criteria, measures, and risks.
Responsibilities, sequencing, capability-transfer plan, investment assumptions, and explicit decision points.
Fit
The standard scope assumes access to current architecture, working practices, constraints, decision-makers, and one credible pilot area. Multi-business scopes, unusually complex environments, or material discovery gaps receive a separate written schedule and price before work begins.