Service · Agents
Agentic AI & Automation
Multi-step AI agents that execute real work — with permissions, audit, escalation, and human oversight built in from day one.
The problem
Why this work exists.
Agentic AI has moved from research demo to enterprise reality. The problem is that most enterprises are about to deploy agents that can read sensitive data, act in production systems, and contact customers — without identity, authorization, audit, or escalation.
That is not autonomy. That is risk wearing a chat interface.
Why it matters
What is at stake.
An AI agent that takes action inside the enterprise is not a model anymore. It is an actor. Actors require identity, permissions, accountability, and oversight. Anything less is a governance failure waiting to happen.
Done right, agentic AI changes the cost and capacity of every operating function. Done wrong, it produces incidents you cannot explain to a board.
How MXP helps
What we do in this engagement.
- Design and prioritize agentic use cases with real economic value
- Stand up an agent runtime aligned to identity, security, and audit
- Define a tool and data registry that controls what each agent can do
- Build human-in-the-loop checkpoints for sensitive or irreversible actions
- Define escalation paths, fallback behavior, and shutdown conditions
- Establish ongoing evaluation, observability, and red-teaming for agents
Typical deliverables
What you walk away with.
- Agentic use case portfolio with risk classification and rollout sequence
- Agent runtime and tool registry design integrated with identity and access
- Human-in-the-loop and escalation playbook for sensitive actions
- Operational guardrails — rate limits, scopes, time windows, kill switches
- Audit and observability spec covering every agent action and decision
- Pilot delivery of one or more agents in production-grade conditions
Engagement approach
How it runs.
Engagements typically run 8–14 weeks and pair architecture work with a real agent pilot. We bring the security, identity, and governance constraints into the design from the very first iteration — not as an afterthought.
The deliverable is an agentic capability the enterprise can keep building on.
Ready to make this real?
Most enterprises start with a focused diagnostic engagement. We'll show you the gaps and the path.