AI Readiness Audit & Roadmap
Know where AI will pay off before you invest. 1-2 weeks to a prioritized roadmap.
No frameworks, no maturity scorecards, no four-quadrant matrices. We interview your operators, audit your data, and hand back a short list of AI bets ranked by ROI and effort, with the first one already scoped enough to start building. A board-defensible answer to "what's our AI strategy", delivered in weeks instead of quarters.
Who AI Readiness Audit & Roadmap Is For
- Leaders being asked "what's our AI strategy" who need a defensible answer in weeks, not quarters.
- Teams sitting on a backlog of AI ideas with no shared way to compare them.
- Companies that ran an AI pilot, learned something, and need to decide where to invest next.
How AI Readiness Audit & Roadmap Works
- Step 01
Discovery and data review
Interview operators across functions, audit existing data and systems, and map the workflows where AI could move a real number.
- Step 02
Use-case scoring
Score every candidate on impact, feasibility, time to production, and reversibility. Surface the ones worth building and the ones to skip.
- Step 03
Roadmap and first quick win
Sequence the next two quarters of bets, define the V1 build for the top use case, and hand off a brief that engineering can scope from.
What you get
- Written audit covering current state, prioritized use cases, and rejected ones (with reasons).
- Two-quarter roadmap with sequencing, dependencies, and decision points.
- Build-ready brief for the first quick win, including data, integration, and eval requirements.
Where we've shipped this
All case studies →Radiology Auditing Case Management Platform
Radiology Auditing Service · Case Management
Full-stack case management platform with intelligent case distribution, audit workflows, and hospital dashboards.
- 50% faster audit turnaround
- 1,500+ cases processed/month
Unified Data Platform & AI-Powered Clinical Workflows
Wellness Platform · $300M+ raised
Unified patient data across 8+ sources. Built a multi-agent system that generates pre-appointment summaries for clinicians.
- Prep time: 10-15 min -> under 2 min
- 3,000+ active users on food scoring
Frequently asked questions
How is this different from a generic AI strategy doc?
A generic strategy doc gives you a maturity scorecard and a four-quadrant matrix. The audit gives you a ranked list of specific bets, the data and workflow constraints behind each one, and the first bet already scoped enough to start building on Monday. The deliverable is technical, not slideware.
Who needs to be in the room during the audit?
At least one operator who lives the workflow today, one engineering owner who knows the data and infrastructure, and one decision-maker who can fund or kill a bet. Three people is usually enough. We keep the audit short and avoid stakeholder theater. The shorter the participant list, the sharper the output.
What if the audit concludes AI is not the answer?
We say so, with the reasoning written down. Sometimes a heuristic, a SQL query, or a forms cleanup beats an LLM for the workflow you are looking at. The audit fee covers the diagnostic. We would rather lose follow-on work than ship a system that should not exist.
What deliverables come out of an audit?
A ranked list of AI bets with ROI and effort estimates, a written assessment across data, infrastructure, workflows, team capability, and governance, the first quick win scoped enough to start building, and a roadmap with timelines, budgets, and expected outcomes that you can defend to your board or leadership team.
Let's build something that actually works.
Tell us where you are and what you need. We'll come back with a clear, honest plan within 48 hours.