04 — AI ROI Assessment

A clear-eyed look at whether your existing AI investment is paying off.

For teams that have already shipped something and aren’t sure if it’s actually delivering the value it was supposed to.

01

Business outcome mapping

We trace the AI system’s outputs back to the business metrics they were supposed to move. Where they connect, and where they don’t.

02

Value leakage analysis

Where the system is losing value between prediction and action — integration gaps, adoption friction, model drift, or wrong success metrics.

03

Performance benchmarking

How your system compares against reasonable baselines: a simple rule, a competing vendor, or a human doing the same task.

04

Double down / fix / wind down

A direct recommendation on what to do next, with the analysis that supports it. Not a hedge — a position.

Timeline

One week, end to end.

A focused review of your existing system. From kickoff to a direct recommendation in seven days.

Day 0 · 30 min

Kickoff call

Identify the system, agree on the business metrics it was meant to move, exchange any existing analytics.

Days 1–3

Data review & analysis

Review system outputs, usage data, and business metrics. Identify value leakage points.

Days 4–6

Benchmarking & writing

Performance benchmarking, outcome mapping, draft report.

Day 7 · 30 min

Delivery + walkthrough

Report delivered with a direct recommendation — double down, fix, or wind down.

Pricing

Fixed price. No surprise invoices.

Paid up front. Refunded in full if I decline the work after the intro call.

Start with the free intro. We’ll confirm the right assessment in fifteen minutes.

No pitch. You’ll leave with a clear recommendation — even if that recommendation is that you don’t need an assessment at all.

Book the free intro call →