Enterprise agent assurance
Know what an AI agent is allowed to do before it operates.
The Agent Deployment Assurance Workflow helps organizations define, test and document an agent’s purpose, ownership, access, actions, autonomy and human approval requirements before an authorized deployment decision.
Business, risk, privacy, security, legal, technology and governance owners retain the go, revise or stop decision.
The controlled workflow
Turn deployment expectations into testable evidence.
The workflow begins with the proposed agent’s purpose, owner, instructions, tools, permissions and operating environment. It identifies unclear boundaries, translates requirements into realistic tests and records what actually happened.
What the workflow examines
- Named business and technical ownership
- Approved purpose and intended users
- Data, system and tool access
- Permitted and prohibited actions
- Human approval and escalation gates
- Behavior under missing or conflicting information
- Logging, evidence and failure behavior
System in action
Test the behavior, not just the documentation.
Approved scenarios are run in an isolated environment to compare expected behavior with observed results. Exceptions and unresolved conditions flow into the deployment record.
Agent Deployment Record
ADR-2026-014 · Pre-production review
- Block the external submission action by default.
- Require named approval for every exception.
- Repeat the restricted-action scenario and retain new evidence.
Example structure only. Actual records are configured around the organization’s policies, agent architecture, review requirements and operating environment.
Decision-ready outputs
A review package that supports an accountable decision.
Each engagement is configured to the agent, organization and review process. Outputs may include the following records.
Names the business purpose, accountable owner, technical owner, intended users and review participants.
Defines whether the agent may retrieve, prepare, recommend, initiate or execute and where approval is mandatory.
Documents approved data, systems, tools, permitted actions, prohibited actions and delegation boundaries.
Covers normal work, missing information, conflicting instructions, restricted actions, misuse and failure conditions.
Records expected behavior, actual behavior, supporting evidence, exceptions and unresolved issues.
Summarizes the reviewed scope, decision, required conditions, approvals, residual issues and next review point.
Vendor-neutral assurance
Complement platform controls with organizational requirements.
AI platforms can provide valuable technical controls. The organization must still define how a particular agent should operate inside its own workflows, authority structure, policies and risk environment.
Custom Agent Services helps translate those requirements into testable behavior and reviewable evidence across agents, workflows and vendors.
Technical permissions, available tools, platform logging and deployment mechanisms.
Purpose, ownership, decision rights, approval thresholds and accountable outcomes.
Approved sources, operating rules, exceptions, escalation and human intervention.
Observed behavior, unresolved issues, conditions and the authorized decision record.
How value is measured
The baseline comes before the claim.
Coverage before and after the assurance process.
Unclear access, actions, decisions and delegation found before deployment.
Approved tests executed with retained evidence.
Conditions closed before authorization or carried into the decision record.
Explore an assurance pilot
Start with one proposed agent and one deployment decision.
Define the scope, test the behavior and prepare an evidence-backed record for the people authorized to decide.