What should an AI assessment of your business actually find?
A serious AI assessment should find where your payroll hours actually go, surface every credible AI opportunity in the operation (most businesses have 30 or more), rank the handful worth building first, and put a defensible dollar figure on each one. If it ends in a maturity score instead of a ranked list with dollars attached, it was a pitch, not an assessment.
Why do most AI assessments find so little?
Most assessments start with tools and work backward: a demo, a questionnaire, a readiness score. None of it examines how work actually gets done inside your company, which is the only place AI value lives.
A real assessment traces real weeks: it asks people to walk through yesterday, hunts for the work that repeats, follows information moved between systems by hand, and finds the decisions queued behind one person. That's where the hours are, and the hours are where the dollars are.
The 30 or more opportunities, and the handful that matter.
Map an operations-heavy business honestly and you'll surface 30 or more legitimate AI opportunities. Finding them isn't the hard part.
The hard part: a handful of them make 90% of the difference, and the rest are distraction dressed up as ambition. The handful share a shape. They touch recurring volume, they attach to real dollars in revenue, payroll hours, or working capital, and someone inside the business can say what correct looks like. A long, unranked list is half the job with the important half skipped.
Scoring in dollars: the 21-metric value framework.
Ranking requires a scoring system, so every opportunity ACE surfaces is scored against a 21-metric value framework in dollars. The metrics group into five buckets: direct financial, time and throughput, people, quality and risk, and strategic and growth.
The buckets exist because AI value shows up in more places than the line item you expect: error reduction, avoided hires, faster cash flow, and the enterprise value of running on systems instead of heroics. Every metric resolves to a number a CFO can audit, with the assumptions on the table.
Where do the opportunities hide? Six solution areas.
Across engagements, opportunities cluster into the same six areas:
- Meetings & Communication. Prep briefs before every call, action items after, follow-ups drafted in your voice.
- Knowledge & Research. Due diligence packets, vendor comparisons, deep dives ready to hand to a partner.
- Workflow & Automation. The 12-step manual process that becomes two steps and a review.
- Content & Marketing Creation. Posts and newsletters on a calendar that actually ships.
- Customer Support & Sales. Pipeline reviews, follow-ups that go out on time, replies drafted before the ticket opens.
- Data Analysis & Reporting. The weekly numbers pulled, charted, and explained before anyone asks.
A thorough assessment walks all six; the loudest problem is rarely the most valuable one.
How assessment works inside ACE.
Caddy doesn't sell assessment as a standalone product. It's built into the ACE program, and it starts free.
The discovery call, 30 to 45 minutes, surfaces where AI moves the needle for your operation. The architecture call maps the business live, process by process. Then the Discover phase of the 90-day engagement runs the full-depth version: a fractional AI executive inside the operation, building the complete map, ranking it, and turning the winners into the digital labor build plan. You see the value in dollars before anything gets built, and everything ships in accounts you own.
AI assessments, asked and answered.
Is Caddy's AI assessment a paid audit?
No. We don't sell a standalone audit. Assessment starts on the free discovery call, deepens on the free architecture call, and runs at full depth inside the Discover phase of the 90-day ACE engagement, where it becomes the build plan.
How long does an AI assessment take?
The discovery call takes 30 to 45 minutes. The architecture call maps your operation live, usually within days. The full-depth Discover phase runs in the opening weeks of the 90-day engagement, so building starts while the findings are fresh.
What should an AI assessment put in writing?
A process map of where the hours go, a ranked opportunity list priced in dollars with assumptions stated, the shortlist worth building first with the reasoning, and a measurement plan naming the metric each build should move. If a competent builder couldn't execute from the document, it wasn't an assessment.
What are the signs an AI assessment is shallow?
The tool demo came before any questions about your operation. There are no numbers: no hours, no volumes, no dollars. The opportunity list is long and unranked. Every problem found happens to match whatever that vendor builds. Any one of these is survivable; three or more means you're in a sales funnel.