Before your company can deploy AI with confidence, you need to know what you have, what you're missing, and where to start. That's exactly what this engagement delivers.
Every department wants AI but no one agrees on the first move. Meanwhile, employees are already using tools you didn't approve — and creating liability you don't know about.
Data leaks, compliance gaps, vendor lock-in. Without a policy, every AI tool your team uses is an unmanaged risk. One bad prompt with confidential data can become a very expensive problem.
Ad hoc AI experiments don't scale. The tool was fine; the missing piece was the framework — who uses it, how, with what data, and toward which outcomes. That's what this audit builds.
Every artifact produced in this engagement is client IP — yours permanently, no licensing, no ongoing fees.
A documented map of every AI tool in use at your company — sanctioned or not. Shadow AI uncovered. Includes: tool name, department, use case, data sensitivity classification, and sanctioned/unsanctioned status. Summary highlights risk flags and estimated employee reach.
Structured evaluation across the seven pillars that determine AI readiness (an expanded version of the 5 pillars in our free scorecard, with two enterprise additions: Infrastructure and Model Management): Business Strategy, AI Governance & Security, Data Foundations, AI Experience & Adoption, Culture & Organization, Infrastructure, and Model Management. Scored 1–5 per pillar, benchmarked against your industry, with narrative findings and top-3 gaps by business impact.
A complete, ready-to-publish company AI policy — 2 to 4 pages your team can actually follow. Covers: approved tools list, acceptable and prohibited use cases (with rationale), data handling rules, confidentiality and IP guidance, employee guidelines and required training, and an escalation and reporting procedure. Includes a policy owner designation and recommended review cadence.
An assessment of your existing documentation and knowledge systems for AI-readiness. Before AI can reliably assist your team, your knowledge base needs to exist, be structured, and be accurate. We evaluate coverage, quality, and completeness — and provide a gap list showing what needs to be documented before AI deployment can succeed.
Where your current practices diverge from the frameworks that matter: NIST AI RMF (the U.S. de facto standard), ISO 42001 (for companies with B2B procurement requirements), and EU AI Act exposure (for companies operating in EU markets). Includes a prioritized remediation list ranked by risk level and implementation effort.
Three to five prioritized AI initiatives, each with a description and projected business impact, estimated investment range, suggested owner/department, and sequencing recommendation. Includes a 90-day action plan with specific steps, named owners, and measurable checkpoints. Closes with Year 1 KPIs to track progress and prove ROI.
A 60-minute live presentation of all findings to your leadership team — with time for Q&A and strategic discussion. Delivered as a polished deck (~20 slides) you keep and can share with your board. This is where everything comes together: where you stand, what the risks are, what gets built first, and what success looks like at 12 months.
Structured to minimize time on your team's calendar while maximizing the depth of what we produce.
We get inside your operation before we write a single word of your policy or roadmap.
We score, draft, and synthesize — building every deliverable from the discovery data.
Everything finalized, packaged, and walked through with your leadership team.
The full AI Audit & Assessment is $5,000. The deliverables, process, and rigor are described below. Engagements typically begin within two weeks of a discovery call.
We built a complete sample audit for a fictional B2B marketing agency — all 7 deliverables, real depth, nothing held back. Unlock it with your email to see what $5,000 buys.
Book a 30-minute discovery call. We'll confirm fit, answer your questions, and schedule a start date.