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LP AI Diligence Question Bank · Version 1.0

Five questions that reveal whether a manager’s AI capability is real.

Take these questions directly into your next manager meeting or operational DDQ. Look beyond polished tool lists for operating evidence, ownership and warning signs.

Read the five questions Download the question bank

Informed by AIMM v1.4. No technical background required. Free to use with attribution to AgenticInvestor.

Five diligence questionsEvidence to requestRed flags to recogniseVersion 1.0 · AIMM-informed

Why these questions

Separate institutional capability from individual experimentation.

Most managers can name similar AI tools. The useful distinction is whether adoption is personal or repeatable, improvised or governed, invisible or auditable.

The question bank gives allocators a structured way to test those distinctions in a diligence conversation.

Built for
  • Limited partners
  • Fund-of-funds teams
  • Family-office allocators
  • Operational-diligence teams
  • Investment committees

The question bank

Five questions. Five operating signals.

Ask for demonstrations and records where appropriate. Treat confident language as a prompt for evidence, not proof.

Q1Operating signal · Repeatability

“Show me one AI workflow your whole team runs to a single standard.”

Evidence to expect

A written workflow, defined human sign-off points and evidence that more than its author can run it.

Red flags

A tool list, a workflow held in one enthusiast’s head or reliance on a single advanced user.

Q2Operating signal · Ownership & boundaries

“Who owns your screening workflow, and what may AI never do without human sign-off?”

Evidence to expect

A named owner, written boundaries and consistent answers from senior and junior team members.

Red flags

Ownership belongs to ‘everyone’, boundaries rely on common sense or different people describe different controls.

Q3Operating signal · Audit, live

“For a recent deal, show me what AI produced, its sources and who approved it.”

Evidence to expect

A live deal record with run history, sources attached to claims and a visible approval trail.

Red flags

A policy document instead of a demonstration, or no answer about which models can see the firm’s data.

Q4Operating signal · Improvement loop

“What changed last quarter because an AI workflow underperformed—and how did you know?”

Evidence to expect

A specific example with a measure, the change made and the result that followed.

Red flags

Improvement described as philosophy, with no numbers, events or examples of anything being rolled back.

Q5Operating signal · Sovereignty

“Whose AI accumulates your manager’s judgement—and could they take it with them?”

Evidence to expect

A contractual answer covering data rights, exportable memory and portable workflows.

Red flags

Unclear ownership of accumulated knowledge, data or workflows—or no considered answer at all.

Download the question bank Explore the AIMM framework

Using the bank

Read trajectory, not just position.

  • Add the questions to the operational section of the DDQ.
  • Always ask the sovereignty question; it is rarely rehearsed.
  • For significant claims, request a live workflow demonstration.
  • Ask whether the manager has self-assessed against AIMM.
  • Value a candid improvement plan over unsupported perfection.
Do not treat this as a pass-or-fail scorecard.

The strongest signal is whether a manager can support its claims with evidence, acknowledge material gaps and explain a credible improvement path.

The model underneath

Built on the AIMM maturity staircase.

The Agentic Investing Maturity Model gives operational-diligence intuition a five-level structure. LPs are welcome in the free AgenticInvestor community.

Explore AIMM Explore the Pulse Check

For your next DDQ

Take better questions into the room.

Download the bank now, then join the free AgenticInvestor community for the wider AIMM framework and investor resources.

Download the question bank