Solution
Govern AI Agents
A practical operating model for letting AI agents act inside the enterprise — with identity, authorization, audit, and oversight that boards and regulators accept.
The problem
Why this work exists.
AI agents are about to be everywhere — in customer support, in sales, in IT operations, in finance, in security operations. Most enterprises are not prepared to govern actors that can read data, act in production, and contact customers without a clear policy.
Without governance, every new agent is a new latent incident.
Why it matters
What is at stake.
Governance is not the brake on agentic AI. It is what makes agentic AI possible at scale. With it, agents can be deployed broadly. Without it, agents stay limited to low-risk corners and never reach the value the business needs.
The earliest companies to govern agents well are the ones that actually get to deploy them broadly.
How MXP helps
What we do in this engagement.
- Stand up an agent governance operating model — review, approval, retirement
- Define identity, scope, and least privilege for every agent class
- Establish action-level audit and oversight that humans actually use
- Build escalation, fallback, and shutdown patterns for misbehaving agents
- Set continuous evaluation and red-teaming for agent behavior over time
- Equip the executive team with credible agent risk reporting
Typical deliverables
What you walk away with.
- Agent governance operating model with clear roles and decision rights
- Agent classification framework — what risk class, what controls, what oversight
- Identity, authorization, and audit standard for AI agents
- Escalation, fallback, and kill-switch patterns and runbooks
- Continuous evaluation, red-teaming, and incident response model
- Executive and board reporting templates for agent risk and assurance
Engagement approach
How it runs.
Engagements run 6–12 weeks. We pair with security, risk, engineering, and the AI program leadership — and we work against real, in-flight agent use cases, not hypothetical ones.
The deliverable is a governance system the enterprise can run as agents proliferate.
Ready to make this real?
Most enterprises start with a focused diagnostic engagement. We'll show you the gaps and the path.