Opportunity portfolio
A ranked view of candidate workflows by economic value, frequency, process stability, data readiness, change burden, and consequence.
AI Audit
Find the first AI workflow worth funding.
We compare where AI could affect revenue, margin, capacity, quality, or risk; examine how the work really happens; establish a defensible baseline; and turn the strongest opportunity into an executable 90-day roadmap.
What you receive
An operating decision leadership can act on.
First-workflow business case
The unit of work, baseline, value mechanism, implementation boundary, quality floor, risks, and assumptions for the recommended first move.
90-day roadmap
Sequenced discovery, prototype, controlled pilot, adoption, measurement, decision gates, owners, systems, and stop rules.
Authority and control design
What code may do, what AI may propose or execute, where people review or approve, and how failures are detected and recovered.
Data and system map
The systems, artifacts, permissions, integrations, and evidence needed for the first implementation.
Executive decision brief
Fund, validate further, fix the process first, or decline—with the reasoning and evidence needed to defend the decision.
Inputs and participants
Grounded in the real operation.
| Needed | What it contributes | Typical participant |
|---|---|---|
| Leadership priorities | Revenue, margin, capacity, service, quality, hiring, or risk pressure | CEO, COO, CFO, functional executive |
| Workflow truth | Normal path, exceptions, workarounds, handoffs, judgment, and failure modes | Workflow owner and frontline operators |
| Systems and artifacts | Applications, records, documents, messages, policies, and permissions | Operations and technical owner |
| Current performance | Volume, touch time, wait time, rework, cost, quality, backlog, and outcomes | Metric owner or analyst |
| Decision authority | Who can approve scope, access, pilot controls, and adoption changes | Executive sponsor |
We do not require perfect data before the first conversation. Missing evidence becomes an explicit readiness gap; it does not become an invented number.
Process
From broad pressure to one bounded decision.
1. Frame the outcome
Name the business pressure, decision owner, review window, and what evidence would make the audit useful.
2. Observe the work
Map the workflow, systems, actors, artifacts, exceptions, failure cost, and current performance.
3. Compare opportunities
Score value, volume, feasibility, data, change burden, risk, and measurement readiness across the shortlist.
4. Establish the baseline
Freeze the unit, denominator, formulas, sample window, owner, quality floor, and before/after comparison.
5. Design the controlled path
Define the smallest implementation, authority boundaries, approvals, evaluation, rollout, and recovery.
6. Make the decision
Deliver the roadmap and executive brief, then agree separately whether and how implementation proceeds.
Fit
When the audit is—and is not—the right next step.
Good fit
A real operating constraint matters now; leadership can name an owner; operators can participate; and the company is willing to measure the current workflow and control a pilot.
Not ready yet
No accountable owner, no access to the operation, a constantly changing process, or a request to deploy autonomously without evaluation and human control.
Not included by default
A generic AI workshop, company-wide transformation, software licenses, a production implementation, managed operation, or invented financial assurance. Those require separate explicit scope.
Before work begins, we agree the exact scope, participants, access, timing, fee, confidentiality, and final deliverables. This page does not invent a standard price or promise that every audit proceeds to implementation.
Questions
What buyers usually ask
Do we need to know which AI project we want?
No. The audit is designed to compare plausible workflows and identify which one has the strongest business case and readiness.
Is the audit a generic AI strategy presentation?
No. It is grounded in one or more real workflows, their operators, systems, artifacts, baseline measures, exceptions, and business outcomes.
Does the audit include implementation?
The audit produces the decision, baseline, control design, and roadmap. Any implementation scope is a separate explicit agreement.
What is agreed before the audit begins?
Measured Intuition and the client agree the scope, participants, access, timing, fee, confidentiality, and final deliverables before work begins.
First conversation
Start with the number leadership most needs to improve.
We will clarify the business pressure, candidate workflow, owner, and available evidence. If an audit is not the right next step, we will say so.