Skip to main content
Otomat
HomeServicesIndustriesPrivate EquityResultsInsightsAbout
Scope a mandate

Diligence · Operating decision guide

How to evaluate an AI transformation partner

Otomat editorial · Revised 23 October 2026

A neutral selection exercise covering actual staffing, task evidence, security scope, portability, total cost and fit.

  • Give candidates the same decision brief
  • Inspect a representative test
  • Use gates before weighted scores
  • Reference check the actual team and scope

Give candidates the same decision brief

Describe the workflow, current constraint, authorized data, risk, internal capacity and intended outcome. Compare a model provider, existing integrator, specialist, internal build or larger advisory firm on the same scope. Each can fit; category claims are weak evidence.

Ask candidates which part they would decline, what they depend on and when they would stop. A clear boundary is often more useful than an expansive capability list. Confirm the proposed staff will actually deliver, and assess key-person dependence and backup coverage.

Inspect a representative test

Use synthetic or approved minimized data. Ask the candidate to complete normal and exception tasks, show source grounding, deny a prohibited action and explain failure behavior. Agree evaluation rules before seeing the result. A polished demonstration is insufficient without independent tasks and a visible review burden.

  • Operating fit: who owns the goal, adoption and finance bridge?
  • Technical fit: who maintains integrations, tests and deployment?
  • Security fit: what is in scope, and which specialist owns the rest?
  • Exit fit: what can the client export, replace and restore?
  • Commercial fit: what capacity, client effort, exclusions and change costs are priced?

Use gates before weighted scores

First apply hard requirements: lawful data use, constrained actions, accountable delivery and obtainable exit assets. Only compare preferences after those gates pass. Score evidence quality and uncertainty separately; an unsupported assertion should remain unknown rather than receive an average score.

Reference check the actual team and scope

Where permission allows, ask a reference what was accepted, what remained open, how exceptions were handled and whether the client could maintain the system. Do not infer results from confidential names, logos or a supplier’s aggregated claims. Negotiate a bounded initial mandate with evidence-led continuation.

Use the working tools

Blank templates are ungated. Adapt them to the workflow; inputs are not submitted.

  • Open the operating charter

Sources and limits

These are Otomat’s proposed operating methods and original decision artifacts. External references inform risk management; they do not certify this method or establish client results. Linked sources were selected for this review; their live revision dates may change.

  • NIST AI Risk Management Framework (2023)

For anonymous documentation and proposal patterns, see delivery evidence and its boundaries.

Related decisions

  • Model replacement and practical client ownership
  • AI-agent permissions: define the data and action boundary
  • AI training that proves independent task performance

Bring a workflow to the discussion

Share the business goal and constraints through the mandate process. Do not send sensitive production data in the initial brief.

Scope an Operating Mandate
← All decision guidesOperating toolkit →
Otomat

Underwritten like an investor. Built like an engineer. Run like an operator. AI transformation with investment discipline and continuing operating responsibility.

Company

  • Services
  • AI Operating System
  • Industries
  • Private Equity
  • Results
  • About
  • Insights

Services

  • Operating assessment
  • Embedded transformation
  • Controlled improvement
  • Portable application layer
  • Sponsor operating mandate

Resources

  • AI Restructuring Report
  • AI Operating System Guide
  • AI Consulting vs Restructuring
  • AI Restructuring vs Big 4
  • Fractional vs Full-Time CAIO
  • Insights

Connect

  • Contact Us
  • adam@otomat.ai

© 2026 Otomat AI, LLC. All rights reserved.

Privacy Policy·Terms of Service