AI Operating Model Audit

Fix management gaps before AI implementation scales

In 1–2 weeks, we trace how AI initiatives move from request to adoption and validated impact: roles, decision rights, gates, ownership, and implementation flow.

The output: a management-gap map, roles and responsibilities, decision and gate rules, and a practical change plan.

First step — 20–30 minutes.We review your context, portfolio scale, and management gaps, then choose the right audit format.
For whom

When AI initiatives exist, but the implementation process is rebuilt every time.

  • Business, IT, data, security, and AI-team responsibilities overlap or remain unowned
  • There are no shared decision rights or gates
  • Ownership disappears after technical launch
Problem

Initiatives move.
The management system does not.

  • Decisions depend on individuals rather than transparent rules
  • Security, data, and architecture teams get involved too late
  • Adoption and impact owners are unclear
  • Expected impact is not validated against actual results
Result

A management loop for repeatable AI adoption.

  • A map of current management gaps
  • Roles, responsibilities, and decision rights
  • Gate and impact-validation rules
  • A practical change plan

What we do during the audit

We use the current portfolio as input to test the real implementation process: who decides, where gates sit, who owns the outcome, and how impact is validated.

1. Use the portfolio as input

Trace real ideas, pilots, and products through the actual path from request to adoption and impact.

ContextFlow

2. Map roles and ownership

Identify owners for business impact, adoption, product, data, risk, and required approvals.

RolesOwnership

3. Test decision rights

Define who can approve launch, stage transitions, rework, stop decisions, and impact validation.

DecisionsGates

4. Find flow gaps

See where security, data, architecture, user adoption, and impact measurement enter too late or disappear.

ProcessBlockers

5. Prepare the decision

Shape gate rules, the target role model, and a practical sequence of management changes.

Not implementation instead of the team Not a sale of one AI tool Not a report for its own sake Yes: a decision map for business

What the client receives

A set of artifacts that can go to leadership and then straight into team execution.

Answers for leadership

After the audit, the company gets clarity on five practical questions.

  • What is already running, where are duplicates, and where has context been lost?
  • Which initiatives can create fast, manageable impact?
  • Which ideas should be stopped or deferred?
  • Which blockers must be removed before development?
  • Which decisions should be made for the next 3-6 months?
Management-gap mapWhere the current flow loses a decision, owner, approval, adoption step, or impact check.
Roles and responsibilitiesWho owns business impact, adoption, product, data, risk, and result control.
Decision and gate rulesTransition criteria, decision rights, rework paths, and stop rules.
Change planThe sequence of near-term management changes, dependencies, and gates.
Decision logWhat to launch, stop, validate, and what conditions are needed before starting.
Impact modelHow to calculate expected, confirmed, and disputed financial impact.
90-day planFirst actions, quick wins, dependencies, and control points.
Executive summaryA short leadership version: priorities, risks, impact, and decisions.

Working format

Start with a focused management snapshot or move directly to a full audit. The fee is fixed before work begins against an agreed scope.

1-2 weeks

Express diagnostic

Starting priceUSD 2,000

A quick format to build the picture, find near-term quick wins, and prepare the first management decision.

  • 3-5 interviews with key stakeholders
  • Collection of initiatives, duplicates, and constraints
  • Map of problems, quick wins, and blockers
  • Short summary for the next decision

Enterprise scope starts at USD 9,000. It covers multiple departments, a larger portfolio, and a series of leadership workshops. The final fee follows the number of initiatives, interviews, and decision domains — not company size.

How our audit approach differs

The audit does not replace implementation. Before expensive work begins, it helps leadership see which initiatives deserve resources, where risk is too high, and what decisions need to be made next.

We do not replace vendors

Technical teams implement solutions. We help choose what to implement, in what order, and for what impact.

We do not draw abstract strategy

The work starts from current initiatives, interviews, constraints, and real decisions already facing the company.

We connect AI to money

The focus is not the number of pilots, but priorities, impact owners, and manageability for leadership.

We build on practice

The methodology comes from building an AI office, managing initiative portfolios, and accounting for impact — without promising AI magic.

Want to see what blocks AI impact in your company?

We will discuss the audit: review the current context, estimate portfolio scale, and suggest the right working format.