AI Readiness Audit
A 2-week, fixed-price $15,000 sprint that turns AI ambition into a delivery plan.
Practice Overview
The AI Readiness Audit is the first engagement we recommend for any mid-market firm — particularly law firms in the 50–500-attorney band — that knows AI is on its roadmap but has not yet picked the wedge. In two weeks, with a single $15,000 fixed price, our founder-led team maps your current state, identifies the three highest-ROI deployments specific to your operations, and hands you the eval framework template we use in production for our own legal-vertical engagements. You leave with vendor recommendations, ROI math you can defend in front of your partners, and a 12-month implementation roadmap. About 30–50% of audits convert into $80–250K production builds with us; the audit is designed to make that conversion (or its absence) an informed decision, not an instinct call.
A productized 2-week sprint, $15,000 fixed price, that maps your three highest-ROI AI deployments with ROI math, an eval framework template, vendor recommendations, and a 12-month roadmap. 30–50% of audits convert to $80–250K implementations.
Talk to a Audit leadWhat we deliver
End-to-end delivery, from discovery through production hand-off — configured to your stack, team, and compliance posture.
Current-state map
A documented inventory of where AI can move the needle in your firm — workflows, data sources, integrations, and the buyer/user surfaces — captured in week one and reviewed with your leadership in week two.
Three prioritized AI use cases with ROI math
Your three highest-leverage deployments named, scoped, sized in implementation cost, and modeled in expected first-year ROI. The math is honest — including what we believe will not work and why.
Eval framework template
The same eval discipline we use in production with our legal-vertical clients, adapted to your domain. Hallucination thresholds, human-in-the-loop checkpoints, regression test harness, and the metrics worth tracking week-over-week.
Vendor and stack recommendations
Foundation model selection (Claude, GPT, Gemini), retrieval architecture, agent orchestration framework, observability stack — and an explicit rationale for each pick versus its closest alternatives.
12-month implementation roadmap
Quarter-by-quarter delivery plan with budgets, KPIs, decision gates, and the in-house vs. outsourced split that makes sense for your team. Designed to be executable by us, by your internal team, or by another partner.
How we approach Audit
The AI Readiness Audit is the first engagement we recommend for any mid-market firm — particularly law firms in the 50–500-attorney band — that knows AI is on its roadmap but has not yet picked the wedge. In two weeks, with a single $15,000 fixed price, our founder-led team maps your current state, identifies the three highest-ROI deployments specific to your operations, and hands you the eval framework template we use in production for our own legal-vertical engagements. You leave with vendor recommendations, ROI math you can defend in front of your partners, and a 12-month implementation roadmap. About 30–50% of audits convert into $80–250K production builds with us; the audit is designed to make that conversion (or its absence) an informed decision, not an instinct call.
Every engagement is led by senior practitioners and sequenced for measurable value in the first 90 days — with the handoff rigor that keeps momentum after we leave.
What you can expect
A 2-week, fixed-price $15,000 sprint that turns AI ambition into a delivery plan.
This is what we deliver
A productized 2-week sprint, $15,000 fixed price, that maps your three highest-ROI AI deployments with ROI math, an eval framework template, vendor recommendations, and a 12-month roadmap. 30–50% of audits convert to $80–250K implementations.
- 01A defensible answer to "what do we do about AI in 2026?" in 2 weeks, not 6 months
- 023 prioritized AI deployments with ROI math you can present to partners
- 03Eval framework template ready to use on day one of any implementation
- 0430–50% of audits convert to $80–250K production builds; the rest leave with a usable internal roadmap
What is an AI Readiness Audit, and what do you get for $15,000?
The AI Readiness Audit is a productized two-week sprint, fixed at $15,000, that translates a mid-market firm's AI ambition into a delivery plan. In two weeks, our founder-led team produces a documented current-state map of your firm, three prioritized AI use cases with first-year ROI projections, the eval framework template we use in production with our legal-vertical clients, vendor and stack recommendations with explicit rationale, and a 12-month implementation roadmap. About 30–50% of audits convert to a paid build with us; the rest leave with a usable internal roadmap. Founder-led, vendor-neutral, no decks.
One tier. One price. Two weeks.
We sell the AI Readiness Audit as a single fixed-price engagement because mid-market firms have been burned too many times by tiered-pricing strategy decks. You know what you are buying. We know what we are delivering.
AI Readiness Audit
$15,000fixed, 2 weeks
Founder-led. Three prioritized AI use cases, eval framework template, vendor recommendations, and 12-month roadmap.
- Documented current-state map
- Three prioritized AI use cases with ROI math
- Eval framework template (production-grade)
- Vendor and stack recommendations
- 12-month implementation roadmap
- 90-minute leadership readout
- Vendor-neutral — implement with us, in-house, or another partner
AI Readiness Audit vs. the alternatives
What you would otherwise be choosing between in 2026.
| Dimension | AI Readiness Audit | Big-4 AI Strategy | Internal task force |
|---|---|---|---|
| Duration | 2 weeks | 3–6 months | 8–16 weeks (part-time) |
| Price | $15,000 fixed | $250K–$1M | Internal cost |
| Deliverer | Founder + AI lead | Tiered team, mostly recent hires | In-house, between day jobs |
| Deliverable | Costed roadmap + eval framework | Slide deck | Internal memo, often shelved |
| Vendor neutrality | Yes — explicit alternatives named | Often partner-aligned | High |
| Implementation handoff | Drops directly into build | Requires re-scoping engagement | Often stalls at handoff |
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AI Readiness Audit — frequently asked
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Where this work has landed
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