Organizational Intent Gap Audit

Phase 1 — Organizational Context

Five questions to establish the baseline. Answer as your current reality, not your aspirational state.

Q1 / 5

What industry are you in, and roughly how large is your organization?

Industry / Sector

Organization Size

Revenue Order of Magnitude (optional)

Q2 / 5

What AI tools, agents, or copilots are currently deployed? List your most significant ones.

Include what each tool does, what it optimizes for now, and what you believe it should optimize for. These populate your Risk Map.

Tool / Agent Name What It Does Optimizing For (Now) Risk Level

Q3 / 5

How are organizational goals — OKRs, strategy, values, priorities — currently communicated to the people building or configuring AI systems?

Primary Communication Method

Describe in your own words

Q4 / 5

Which AI deployment are you most proud of, and which one worries you most?

Most Proud Of

Most Worried About

Q5 / 5

What does your organizational data and knowledge infrastructure look like?

Context Infrastructure Maturity

Describe the Current State

Primary Data / Knowledge Owner

Phase 2 — Intent Alignment Deep Dive

Four diagnostic questions about how organizational intent reaches — or fails to reach — your AI systems.

Q6 / 9

For your most autonomous AI agent or workflow: what objective is it optimizing for? Who defined that objective?

Agent / Workflow Name

Objective It's Optimizing For

Who Defined That Objective?

Would your CEO, your customers, and your frontline employees all agree that's the right objective?

CEO Would Agree

Customers Would Agree

Frontline Employees Would Agree

Overall Stakeholder Alignment

Q7 / 9

When AI systems face tradeoffs — speed vs. quality, cost vs. customer experience, policy compliance vs. satisfaction — how are those resolved?

Tradeoff Resolution Mechanism

Give a Real Example

What's the Gap?

Q8 / 9

How do you currently detect when an AI system is producing technically correct but strategically wrong outputs?

Detection Capability

Describe Your Current Process

Q9 / 9

What organizational knowledge lives in people's heads — the tacit "how we actually do things here" — that has never been documented or made accessible to AI?

Describe the Undocumented Knowledge

Who Holds It?

Workflow Coherence Self-Assessment

Intent Alignment Self-Assessment

Report Metadata (for cover page)

Prepared By

Organization Name

Date

Confidential — Intent Engineering Assessment

Organizational Intent
Gap Audit

Organization— Industry— Size— Prepared By— Date—

01 — Executive Summary

Where This Organization Stands

02 — Three-Layer Maturity Assessment

Intent Engineering Layers

03 — The Klarna Test

Highest-Stakes Deployment Diagnostic

The Klarna problem: an AI system that succeeds brilliantly at the wrong objective. This test surfaces where your most autonomous deployment is most vulnerable to that failure mode.

04 — Risk Map

AI Deployment Risk Assessment

Tool / Agent	What It Does	Optimizing For Now	Risk Level

05 — Investment Roadmap

Prioritized Recommendations

Appendix — Raw Intake Responses