Nashville, serving organizations nationwide
(615) 829-6802 Client login

Service line 06

AI automation that answers the same questions as any material system.

The work delivers governed AI automation with approval gates, monitoring, decision records, and human accountability. It is built to survive the same exam questions as any material system.

Who this is for

For organizations putting AI into work that matters.

AI automation is easy to demonstrate and hard to account for. The questions that follow a demonstration are about who approved the action, what it did, how it is monitored, and how it is stopped.

This work suits organizations that want automation in production and need it to hold up to the same review as any other material system. Programs align with ISO/IEC 42001 and the NIST AI Risk Management Framework.

What the work includes

Automation that moves, accountability that stays human.

  • AI and agent inventory
  • Approval gates before an agent takes an action that matters
  • Monitoring and alerting on agent behavior
  • Verification and rollback patterns
  • Decision records naming the accountable human
  • Operating documentation for the people who run it

Deliverables

What you receive.

AI and agent inventories

What is running, what it can reach, what it is allowed to do, and who owns it.

Approval workflows

Defined points where a human decides, with the decision recorded.

Verification and rollback patterns

How the output is checked before it is trusted, and how an action is undone.

Operating documentation

How the system runs, how it fails, and how it is stopped.

How it supports audit readiness

The exam answer is documentation, not a demonstration.

AI work ships with approvals, records, and a stop path, so the exam answer is documentation instead of a demonstration. The governing questions are the ones already asked about any system that can change data or spend money.

The governance model is described on AI governance.

What this is not

What this service line does not cover.

  • Model training, fine tuning, or data science work.
  • An AI product or a platform license.
  • Autonomy without a stop path. Every agent has one.

Use AI at the speed your accountability model supports.

Discuss agentic AI