The Oyez

AI Adoption Readiness Questionnaires

AI Adoption Questionnaires

Practical, evidence-first assessments you can use to align leaders, teams, and vendors — with instant scoring and copy/email outputs. Use them independently, or as a set (strategy → intake → build → govern → operate).

  • Format: Instant scoring
  • Output: Copy / email summary
  • Use: Alignment + decision gates
Field Guides

How to use Strategy & Direction

Start here to align leaders on the “why,” define success, and decide what gets built (and what doesn’t).

  • 1Use this section before vendor selection or build kickoff.
  • 2Score with the exec owner in the room (avoid “paper compliance”).
  • 3Export the result as your decision memo: outcome, owner, timeline, and kill criteria.
Then continue into Intake & Decision Gates once priorities are set.

AI Strategy & Adoption Readiness (Executive)

Helps leaders avoid “AI chaos” by checking strategy clarity, ownership, ship gates, and rollout discipline.

Audience: Exec / Strategy Focus: Operating model
Open questionnaire→

AI Adoption Readiness

A baseline snapshot: evidence handling, scope, ownership, and operational safeguards.

Audience: Mixed teams Focus: Foundations
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AI Use-Case Intake & Risk Tiering

Standardises intake and decides what can ship: assigns risk tier and maps required controls before approval.

Audience: Product + Gov Focus: “Can we ship?”
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AI Engineering Maturity (Systems)

Assesses production discipline: testing, stage-separated eval, monitoring, logs, and failure-path handling.

Audience: Builders Focus: Reliability
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AI RAG & Grounding Readiness

Assesses whether your RAG system can ground claims with permitted sources, correct citations, and refusals when needed.

Audience: RAG teams Focus: Provenance
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AI Governance & Compliance Readiness

Checks whether enforceable controls, evidence trails, accountability, and incident readiness are in place.

Audience: Risk / Legal Focus: Controls
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AI Vendor Procurement & Due Diligence

Prevents demo-driven buying by checking logs/exportability, failure-path behaviour, data handling, and audit support.

Audience: Procure / Legal Focus: Proof & controls
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AI Change, Drift & Incident Review (Operational)

An operational risk review for changes/releases and incidents: drift signals, rollback gates, and required actions.

Audience: Ops / Owners Special: Review / Incident
Open review→

How to use Operate & Review

This is your “production utility”: use it when drift, change, or incidents introduce real-world risk.

  • 1Run it for any release that changes model, data, prompts, tools, or policies.
  • 2Run it again when drift/quality drops, or when you see unsafe behaviour.
  • 3Use the output as the incident record: what happened, evidence, actions, and ship gate.
Tip: treat the score as a gate — low scores mean “pause and fix” before re-shipping.