AI Agent Readiness
Define the work an agent can handle, the information it needs and where a person must take over.
Before an agent takes on real work
A task and authority map, readiness gaps, human handoffs and a prioritised preparation plan.
When to commission this review
Operations, digital or IT leaders preparing to let an AI agent handle real business tasks.
An agent performs well in demonstrations but permission limits, approval responsibility and exceptions are unresolved.
Defined task list, tool permissions, example agent runs, error cases and human escalation paths.
Map proposed agent actions to decision rights; challenge high-impact actions, escalation triggers and recovery arrangements.
Written agent readiness assessment, authority matrix, missing control evidence and a test checklist.
Advisory review only. It does not certify cybersecurity, enforce technical permissions or replace your production acceptance testing.
What we examine
- A clearly bounded task with an accountable business owner.
- Reliable source information and rules for missing or conflicting data.
- Access requirements, action limits and approval triggers.
- Exception routes, acceptance criteria and a manual fallback.
What we need from you
Share the proposed workflow, sample inputs and outputs, source systems, intended permissions and the people responsible. A task can be suitable for assisted drafting while remaining unsuitable for autonomous action.
What must a human check before an agent starts real work?
A successful prompt or demonstration cannot prove that an agent has appropriately limited authority. Review actual task boundaries, examples and accountable human escalation before operational use.
| Review question | Evidence needed | What the review establishes |
|---|---|---|
| Agent task boundary | Real examples of what the agent receives and does | Identify tasks requiring approval or exclusions |
| Tool and data access | Configured permissions and example actions | Record excessive or unverified privileges |
| Exception paths | Failure examples and escalation rules | Specify named escalation owners and stop criteria |
Findings are limited to the records, examples and access agreed for the assignment. Implementation and operational testing remain with the accountable client or technical team.
How the engagement works
- Agree one workflow or bounded set of agents, the questions and the fee.
- Review supplied documents and representative operating evidence.
- Deliver written findings, practical recommendations and open questions.
- Define validation steps for your team or vendor before changes enter daily use.
Related operational questions
Design the workflow
Connect agent readiness with task boundaries, handoffs and human review.
Tell us where AI is getting stuck
Describe the workflow, what you expected and what is happening instead. We will clarify the scope and information needed for a review.
Discuss your AI workflowQuestions and answers
What is agent readiness?
Agent readiness is the operational ability to give an AI agent a defined task, usable information, bounded permissions and effective human oversight.
Is this a software certification?
No. The review produces advisory findings based on the agreed evidence. Technical enforcement and production testing remain with the implementation team.
Need help with an AI workflow already in use?
If AI output needs too much correction, a pilot has stalled or operating claims are disputed, start with one workflow and its available evidence. Our AI workflow diagnostic provides written findings, a findings meeting and practical next tests. Your team implements and validates the changes.