Understand
Start with your business, environment, and the decisions you need to make.
Review the permissions, tools, memory, and approval paths of AI agents that can act inside your business.
Discuss your requirementsSpecialist delivery and availability are confirmed during scoping.
Map what an agent can read, remember, delegate, and change. Examine the trust boundaries between users, models, tools, and other agents, including Model Context Protocol (MCP) integrations where present. Use approved workflows to check whether untrusted content can redirect an action or bypass a decision owner. Define a recovery path for an incorrect or interrupted action before expanding automation.
Architecture workshop and scoped workflow assessment, with implementation support by agreement.
Sensitive actions covered by enforceable authorization, auditable approvals, and exercised stop conditions.
The final scope, deliverables, and timing are agreed for your engagement.
Start with your business, environment, and the decisions you need to make.
Agree the scope and examine the controls, configurations, and exposures that matter.
Translate findings into clear actions, accountable owners, and realistic next steps.
Support remediation, review the evidence, and keep the programme moving forward.
Tell us what you need to protect. We’ll help turn the question into a clear scope of work.