AI Readiness Audit
Decide where AI belongs — and where it doesn't — before anyone writes code.
We score four things against the workflows you actually run: what you can do today, what you are trying to achieve, whether your teams can support it, and the habits that will either carry the change or kill it. You leave knowing which bet to fund and which to defer.
Starts with
Real processes, real data access, and the people who would have to run whatever gets built.
You leave with
A scored readiness snapshot, a classified automation backlog, and a 30/60/90-day roadmap with owners.
Fit
Is this for you?
Leadership teams being pushed toward AI without a clear workflow, owner, or constraint. Operators who have discovered AI is already running in six places on someone else's credit card and want one scored plan instead of six pilots.
Probably not if
- Teams that already have a scoped MVP and just need hands to implement it — start with AI Solution Concept + MVP Scope, or a Post-Diagnostic retainer.
- Organizations looking for a vendor demo tour instead of a decision framework.
Deliverables
What you receive.
- Readiness scorecard across capability, intent, teams, and habits — each scored with evidence
- Shadow-AI inventory: which tools and agents are already in use, who turned them on, and what they can reach
- Process opportunity map tied to workflows your team actually runs
- Classified automation backlog: ship now, fix prerequisites first, or defer
- 30/60/90-day roadmap with named owners and success measures
- Human-review gates identified for any workflow touching judgment, compliance, or customer trust
Build options
What we can deliver after.
The diagnostic is the front door. If the roadmap still needs hands on the work, these are the typical next steps — scoped from the problem, not from a menu.
- MVP scope and functional requirements for the top-ranked opportunity
- Retrieval or workflow implementation on AWS — design through production rollout
- Post-Diagnostic Execution Retainer: roadmap items delivered in monthly sprints
- Fractional Head of AI / Transformation retainer for ongoing governance and vendor judgment
Scoping to delivery
How the engagement runs.
- 01Discovery call (30 min): confirm the problem, the stakeholders, and whether this is the right front door
- 02Intake: access to key systems, sample workflows, and the people who run them
- 03Week 1–2: workflow interviews, data and integration review, team capability assessment
- 04Week 2–3: scorecard draft, opportunity map, backlog classification
- 05Week 3–4: roadmap finalization, exec readout, handoff to delivery or retainer if scoped
Typical follow-on
AI Solution Concept + MVP Scope, or a Post-Diagnostic Execution Retainer to ship the first workflow.