Free checklist7 requirements, 21 checks

The AI agent memory checklist for enterprise teams Is Your Agent Memory Production-Ready?

This AI agent memory checklist scores your design against the 7 non-negotiables for enterprise memory, so you can spot high-risk gaps before rollout and get Security, Compliance and Engineering on the same page.

21 checks across 7 requirements, scored 0 to 2
Expert review prompts and the evidence to collect for each area
A red, amber or green readiness score with a clear next step

8-page PDF
Takes about 20 minutes
Instant download

Cover of the Ailoitte Enterprise Memory Checklist, 7 non-negotiables for AI agent memory

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Want an expert second opinion?Send us your completed scores and we will highlight your top 3 risks and a phased plan. Book a 30 minute call or email [email protected].

Why agents fail after the demo

Your Agent Looks Great in One Conversation. Then Reality Hits

Root cause: memory is treated like a feature, not a governed system. This checklist fixes that.

It remembers the wrong thing, or forgets the right thing
It recalls information users should not have access to
You cannot explain why it said what it said, because there is no audit trail
Compliance asks where memory is stored, for how long, and whether it can be deleted

Red, Amber or Green

Score 0 to 14 across 7 requirements
A readiness verdict your whole team can agree on

The 7 requirements

The 7 Non-Negotiables for Enterprise AI Agent Memory

Each requirement has three scored checks, expert review prompts and a list of evidence to collect.

Requirement 1

Use-case clarity

Define what the agent must remember and what it must never store, and why.

Requirement 2

Identity and RBAC

Memory respects roles, teams and permissions, with clear ownership of memory items.

Requirement 3Most missed

ACL-aware recall

Recall is filtered by permissions at retrieval time and enforced server-side.

Requirement 4

Retention and deletion

TTL per memory type, forget workflows and right-to-erasure readiness.

Requirement 5

Audit and observability

Every memory write and recall is logged, with alerts for abnormal recall.

Requirement 6

Safety guardrails

Sensitive data is detected, blocked or redacted before it is stored or surfaced.

Requirement 7

Architecture and cost

Store strategy, encryption, key ownership, quotas and spend controls.

All 7 in one PDF

Score it in 20 minutes

Get the checklist and run it with your team.

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How to use it

From Download to a Shared Verdict in Four Steps

Download the checklist Fill in the form and save the PDF.
Score each check 0 not defined, 1 partial, 2 defined and implementable.
Score each section Take the lowest item score, then add up the seven sections.
Share and decide Align Security, Compliance and Platform on the next step.

What your score means

A Clear Readiness Verdict, Not a Vague Maturity Model

0 to 6: Red

Do not proceed to production. Define governance, access controls, retention and deletion, and auditability first.

7 to 10: Amber

Pilot-ready with constraints. Run a controlled pilot while closing compliance and audit gaps.

11 to 14: Green

Strong readiness. Proceed to production design and hardening with Security and Compliance sign-off.

Who it's for

Built for Teams Moving Agents From Pilot to Production

CTOs and engineering heads

Pressure-test the design before you commit to a build.

AI and ML leaders

Moving from RAG to agent workflows with persistent state.

Security and compliance

Permission-aware, auditable memory you can sign off.

Product owners

Agree what the agent must remember, and what it must not.

Want the full architecture behind each requirement?

The Enterprise Memory Layer eBook explains every check in depth, with a reference architecture and 90-day roadmap.

Get the eBook

From the team that builds it

Written by Engineers Who Ship Governed AI

The checks come from production builds in the Ailoitte Excellence Program, delivered under ISO 27001 and ISO 9001 certified processes.

Autonomous agent Leverge AI An AI negotiation agent with guardrails and human approval gates. RAG and knowledge Procedo AI Cited answers grounded in video transcripts, with a full audit trail. AI governance TrustWays AI EU AI Act compliance embedded into the build through an SDK.

FAQ

Questions About the Checklist

What is an AI agent memory checklist?

It is a scored review that tells you whether your AI agent memory design is ready for production. You score 21 checks across 7 requirements, from use-case clarity and RBAC to ACL-aware recall, retention, audit, guardrails and cost, and get a red, amber or green readiness result.

How is the checklist scored?

Score each check 0 (not defined), 1 (partially defined) or 2 (defined and implementable). Each section takes its lowest item score, because a section is only as strong as its weakest control. Add the seven section scores for a total out of 14: 0 to 6 is red, 7 to 10 is amber and 11 to 14 is green.

Who should use it?

CTOs, heads of engineering, AI and ML leaders, product owners, and security and compliance stakeholders. It works best when engineering and security score it together, so gaps are agreed before rollout.

What is ACL-aware recall, and why is it the most missed requirement?

ACL-aware recall means the agent only retrieves memories and documents the current user is allowed to see, checked at retrieval time and enforced on the server, not through prompt instructions. Teams often check permissions only when data is ingested, which lets agents leak information later. Our Enterprise Memory Layer eBook covers the architecture in depth.

Do I need agent memory at all?

If your agent serves repeat users, runs workflows, keeps preferences or handles long-running tasks, yes. Without memory, agents repeat questions and lose context. Without governance, memory creates security and compliance risk. Our AI agent development team builds both.

What happens after I submit the form?

The download button appears on this page straight away, so you can save the 8-page PDF checklist immediately. If you want a second opinion, send us your completed scores and we will highlight your top 3 risks and a phased plan to production.