APPLICATION / OPERATE / MONTHLY CYCLE

Agent Assurance

Can you prove your agents still deserve approval?

Agents re-tested as models change, with evidence formatted for internal audit and board reporting.

Start here if

you have agents running and no way to prove they still do what you approved.

APPLICATION / OPERATE / MONTHLY CYCLE

Agent Assurance

Can you prove your agents still deserve approval?

Agents re-tested as models change, with evidence formatted for internal audit and board reporting.

Start here if

you have agents running and no way to prove they still do what you approved.

APPLICATION / OPERATE / MONTHLY CYCLE

Agent Assurance

Can you prove your agents still deserve approval?

Agents re-tested as models change, with evidence formatted for internal audit and board reporting.

Start here if

you have agents running and no way to prove they still do what you approved.

What you walk away with

Every month

Your evaluation suite re-run against current model versions
A pass and fail regression report on agent behavior
Agent inventory reconciled against your registries, shadow agents flagged
Security review of skills and connectors added since last month

Every quarter

A model-change impact assessment: what shipped, what changed, what we adjusted
A board-ready assurance pack for directors and auditors
Agent cost drift review: which agents earn their keep
A recommended action list for the AI steering group

What stays yours

The agents, prompts and skills remain your property
The evaluation method is ours and works on any platform
No lock-in: cancel and keep everything you have built
A one-page exception register your steering group can act on in fifteen minutes

How the cycle runs

Baseline

In month one we build your evaluation suite from the agents you already run and agree the thresholds that matter.

Monthly test

Re-run evaluations against current models, reconcile the inventory, review new skills and connectors.

Report

Deliver the exception register with severity, cause and recommended action.

Quarterly pack

Model-change impact assessment and the board-ready assurance evidence.

Built for

Organizations with agents already running in production
Regulated industries facing audit and board scrutiny of AI
Platforms: Copilot Studio and Agent 365, Claude and MCP, Unity Catalog
Teams that have completed a Promptathon or an agent build
An AI steering group or equivalent governance forum

At a glance

Monthly evaluation cycle with a quarterly board pack
Works across Microsoft, Claude and Databricks agent platforms
Regression testing against every frontier model release
Shadow agent discovery and agent cost drift flagging
Quarterly commitment, cancel at quarter end

Where it leads.

Assurance is the end of the journey and the start of the next one. What the monthly cycle surfaces often becomes the next agent build, the next data fix, or the next cohort to train.

You approved them once.

Models change monthly. We re-test your agents against every release so the next audit question has an answer that is already written down.