AI Readiness Review

What it is

The AI Readiness Review is a structured assessment of your organization's current state and AI potential. We evaluate your data quality, technology infrastructure, team readiness, and business processes to identify where AI can realistically deliver value — and where it would be premature or wasteful.

The output is a prioritized roadmap: specific use cases, ranked by impact and feasibility, with a clear "start here" recommendation you can act on immediately. We don't deliver 150-page reports full of frameworks. We deliver answers.

Who it's for

This engagement is designed for organizations that:

• Know they should be doing something with AI but aren't sure where to begin
• Have tried an AI initiative that didn't deliver and want an honest diagnosis of why
• Need to build a business case for AI investment at the board or C-suite level
• Are evaluating multiple AI vendors and want a vendor-agnostic view of fit
• Have data scattered across systems and want to understand readiness before investing

What's included

• Discovery interviews with key stakeholders (operations, IT, data teams, leadership)
• Audit of current data landscape: sources, quality, accessibility, and gaps
• Technology infrastructure review: current stack, integration points, and blockers
• Use case identification and prioritization matrix (impact vs. feasibility)
• Honest assessment of AI readiness by department or function
• Written roadmap with a prioritized "start here" recommendation
• Executive presentation suitable for board or C-suite briefing

Example outcomes

A mid-size biotech company engaged us to evaluate AI readiness ahead of a major data governance initiative. Our assessment identified three high-value use cases their team hadn't considered, surfaced a data quality issue that would have derailed two planned AI projects, and delivered a 90-day roadmap their IT team could execute without additional headcount.

A PE-backed manufacturer used our AI Readiness Review to build the investment case for an AI-assisted quality control system. The assessment provided the specificity needed to justify the budget and select the right implementation partner.

Timeline

Typically 3–5 weeks from kickoff to final deliverable, depending on organization size and the number of stakeholder interviews required.