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AI observability

Monitor the AI work that matters to operations.

Entellex helps teams observe controlled AI operations across enterprise, product, and live-work views so they can see pressure, exceptions, handoffs, system activity, and outcomes.

Define your operating signals See an owned exception
AI operation workspace showing workflow progress, controlled context capture, approved data retrieval, and recent activity.

Monitoring with ownership

Visibility matters only when it gives a team a next move.

Operations need to see which work is resolved, blocked, aging, escalated, retried, or waiting for a person—and why.

Follow the signal

One operation creates three useful monitoring views.

Portfolio

See operating pressure.

Review combined product health, exceptions, escalations, and reusable-control readiness.

Workflow

Find repeating patterns.

Inspect bottlenecks, stop conditions, handoff frequency, system events, and outcome trends.

Case

Make the exception actionable.

Keep the owner, next action, age, SLA state, and supporting evidence together.

Start with signals the business can use

Monitor what changes an operating decision.

  • Resolved workWhat moved forward through an approved path?
  • Stopped or blocked actionsWhere did the control model prevent unsafe progress?
  • Escalations and handoffsWhich cases need a person, and who owns them?
  • Systems and retriesWhere is a source operation creating work, delay, or review pressure?

AI governance dashboard

A dashboard earns its place when it connects a metric to the work behind it.

A useful dashboard shows where work resolves, exceptions build, people take over, and the operation needs to change.

Each signal should lead from the portfolio rollup to the workflow and case record. Otherwise the dashboard reports a problem but cannot help its owner act.

Portfolio view
Combined operating pressure, exception trends, resolution state, and attention areas across the controlled operations in scope.
Workflow view
Where a process is slowing, repeating a stop condition, increasing human handoffs, or encountering a system dependency.
Record view
The request, condition, control boundary, owner, system activity, evidence, and next action behind the signal.

The monitoring loop

Find the signal. Inspect the record. Improve the operation.

AI control towerSee how the enterprise, product, and operations views connect. AI audit trailInspect the reviewable record behind an important signal. AI governanceDefine the boundaries and owners monitoring must reveal.

First operation

Define the signals your operations team needs.

Bring a workflow, its owner, the conditions that should trigger review, and the outcome leaders need to see.

Request an operation review