AI Readiness Assessment
A structured two-week audit of where AI plausibly cuts cost or lifts revenue in your operation. Output: a ranked roadmap with conservative, base, and ambitious projections.
Strategy, tools, and implementation built around your P&L. No buzzwords, no stalled pilots — just measurable cost reduction and revenue lift.
| Revenue lift — pricing engine | + $1.4–2.1M |
| Revenue lift — outbound agents | + $0.4–0.7M |
| COGS — route automation | − $1.6–2.4M |
| SG&A — back-office assistants | − $0.9–1.4M |
| Implementation amortized | − $0.3M |
| Net quarterly P&L impact | + $4.2–6.3M |
We're a young firm. The numbers below are the assumptions and ranges we anchor projections to — drawn from public benchmarks, our team's prior engagements, and conservative defaults. We'll replace them with your audited deltas as soon as we have them.
Each engagement begins with a P&L target and ends with a measurement clause. We don't run pilots without a number attached.
A structured two-week audit of where AI plausibly cuts cost or lifts revenue in your operation. Output: a ranked roadmap with conservative, base, and ambitious projections.
We identify your highest-leverage workflows and automate them. Cycle-time and cost-per-unit are measured before and after, then handed to your finance team.
Production agents wired into your existing CRM, finance, and ops stack. SOC2-aligned, observable, and owned by your team after handoff.
A board-ready strategy document with prioritized initiatives, dependency map, and a CFO-shaped budget. Pairs with the assessment.
Cohort-based training for non-technical operators. Live workshops, your data, your tools — not a generic curriculum.
Restructure your site so LLMs cite you, not your competitor. Includes schema, semantic IA, and a generative-engine-optimization audit.
Most companies overestimate their level by one. Read across, find the rung that matches your reality, and the next-step move suggests itself.
Same five stages on every engagement, regardless of size. Baseline before promises. Measurement before billing. Hand-off before exit.
The same model we use in scoping calls. Coefficients are public — hover the methodology link below to see them. This is a tool, not a quote.
While the consulting team is scoping, your operators can already start. Each tool is single-purpose, priced like software, and uses the same auth and audit log as our engagements.
Most of our pipeline begins with someone using a free resource. None of them require an email — we'd rather you trust the work and come back.
12 questions, 4 minutes, board-ready PDF. We don't read your answers — runs locally.
Plug in revenue, headcount, and one workflow. Get a defensible range. The same model we use internally.
Eighty terms, plain English, no hype. The doc your team already shares with new board members.
One AI development that matters to a P&L, one that doesn't, and one bench you should sit. Sent Sunday 6pm ET.
Our Forecast tool packaged as a Google Sheet. No login, no email gate — just the file.
Eight questions to ask any AI vendor before signing. Includes the four answers that should kill the deal.
Self-paced, four modules. Designed for controllers and FP&A who didn't ask to become AI experts.
Six-week paid cohort for VPs of Ops & Finance. Ten seats, monthly. Application required.
Free resources are free, forever. Tools are priced like software. Engagements are scoped against an outcome with a measurement clause built in.
Any single tool, your whole team.
All tools + a fractional advisor on retainer.
Scoped, measured, owned by your team after handoff.