Frame the decision
Confirm the business objective, decision deadline, stakeholders, constraints, and what a useful recommendation must resolve.
Fixed scope · Two to four weeks
A decision-ready plan before you spend on AI.
The AI Readiness Review identifies where AI can create operational value, what must remain private, and what architecture, controls, and budget are required to move forward responsibly.
Decision package
What your team receives.
The review ends with artifacts your technical, security, procurement, and executive stakeholders can use to make the next decision.
Workflow inventory
A bounded inventory of candidate workflows, owners, users, data involved, current friction, and expected operating value.
Priority matrix
Use cases scored against business value, feasibility, data sensitivity, integration complexity, risk, and time to useful deployment.
Data boundary
A map of sensitive inputs, retrieval sources, model paths, tools, telemetry, administrative access, retention, and external dependencies.
Target architecture
A deployment recommendation covering models, retrieval, agent orchestration, identity, compute, storage, networking, logging, and human approvals.
Control baseline
A practical governance and security baseline with accountable owners, evaluation gates, incident paths, and evidence requirements.
Cost and roadmap
A phased 12-month plan with build, buy, or partner recommendations; major cost drivers; dependencies; and explicit stop or reconsider points.
How it works
Evidence first. Architecture second.
The exact schedule depends on stakeholder availability and system complexity. Scope, fee, participants, and delivery dates are confirmed before kickoff.
Map workflows and boundaries
Interview process owners, inspect representative data and systems, and document where information and authority can move.
Test the options
Compare deployment patterns, integration paths, controls, operating requirements, and cost drivers against the prioritized workflows.
Deliver the decision package
Walk technical and executive stakeholders through the recommendation, tradeoffs, roadmap, and conditions that should trigger reevaluation.
Best fit
For teams that need a defensible starting point.
Regulated or sensitive data
You need to understand what can use a managed service, what requires isolation, and which controls follow the information.
Multiple competing use cases
You have more AI ideas than delivery capacity and need a consistent way to choose what earns investment first.
Production accountability
You need owners, operating controls, cost visibility, evaluation, rollback, and support designed before a pilot becomes critical.
Engagement boundary: The review provides technical and operational recommendations based on the evidence available during the engagement. It is not legal advice, a certification, or a guarantee that a system will satisfy every contractual or regulatory requirement.
Bring the decision you need to make
Start with a 30-minute working conversation.
Tell us the workflow, data boundary, deadline, and stakeholders. We will determine whether the Readiness Review is the right next step.