Name the Business Decision Before You Fund the AI.

The AI Investment Decision Audit identifies the one AI-enabled business outcome worth pursuing first. The report maps the failure conditions and what an implementer would need.

Includes a 30-minute recorded discovery call, a next-day written decision report, and a personal video walkthrough.

Not Sure You Need the Audit? Start With the Free Check.

Considering AI or automation, but not ready to pay for a diagnosis? Ten questions screen your plan for exposure before AI touches customers, company knowledge, or business actions.

Take the Free AI Exposure Check →

The score is not proof. The result is a warning, not a readiness certificate. If the gaps need evidence, the AI Investment Decision Audit is the next step.

Ten Questions Screen TenExposure Points.

Intended business outcome

What business state should change?

Current baseline

What happens today, and where is the operational leak?

Decision rules

What is AI allowed to decide or do?

Knowledge authority

Which company information is approved and current?

Permissions

What is the system allowed to access or act on?

Action verification

How will a human confirm the action completed?

Failure and escalation path

What happens when AI is uncertain, wrong, or outside scope?

Ownership and maintenance

Who keeps the live setup current?

Traceability and provenance

Is the answer, source, decision, and action inspectable?

Testing evidence

Has the live setup been tested against ordinary and dangerous cases?

You Are Buying a Decision Backed by Evidence.

The product is the reviewed recommendation. Tool demonstrations and automation implementation sit outside this audit.

The Decision

The one business state worth automating first. The report will say when the evidence does not support automation yet.

The Reasoning

The operational leak, available evidence, candidate comparison, remaining gaps, and red flags behind the recommendation.

The Operating Path

The trigger, decisions, actions, human checks, verification, information, permissions, and integrations involved.

The Handoff

Conditions to meet, a do-not-automate list where needed, an implementer-ready outcome brief, and questions to challenge vendors.

You receive the written decision report and a personal recorded video explanation of the recommendation.

Thirty Minutes to Collect the Evidence. The Decision Comes After.

The recommendation is not prescribed live. The call is for understanding the business state, the decision pressure, and what evidence exists.

  1. Short intakeYou describe the intended outcome and current context before the call.
  2. 30-minute recorded discovery callThe call collects evidence and clarifies the business context without selecting tools or selling implementation.
  3. Reviewed analysisRapidReed reviews the intake, transcript, and available non-secret evidence before delivery.
  4. Next-day deliveryYou receive the written decision report and a personal recorded video explanation of the recommendation.

The Tool Is Not the First Question.

The business state comes first. The audit tests whether the proposed outcome survives the rules around the change.

Outcome
What business state should change?
Baseline
What happens now, and where is the operational leak?
Authority
Who has authority to approve, override, or stop the action?
Knowledge
What information is required, and what is missing?
Failure path
What are the failure conditions, and what should happen when one occurs?
Verification
How will a human know the business state actually changed?
A Separate Engagement

When 90 Days of Decision Work Fits.

The 90-Day Business & AI Advisory is a separate paid engagement with six decision-focused calls. It does not require or include an AI Investment Decision Audit.

Six review points arranged around a decision path.

Explore the 90-Day Advisory as its own paid engagement.

Explore the 90-Day Advisory

The Audit Ends With the Decision.

You receive a reviewed business decision and an implementer-ready brief. Implementation is separately scoped.

No automation implementation or technical build.

No live tool-selection performance during the call.

No promise of revenue, savings, or technical success.

No AI-readiness certification.

No secrets, credentials, regulated data, or unnecessary personal information.

Prove the Outcome Before You Fund the Automation.

One reviewed recommendation. The conditions around the recommendation. The reasons to proceed or stop.