SUPERVISED OPERATIONS, END TO END

See the signal.
Own the
next move.

When business systems disagree, give your team a clear way forward. Evidence-led investigation. Precise approvals. Actions with a verified outcome.

No signup. Synthetic data. No external writes.

SCENARIO PREVIEWORD-1048
01 / ORDERSShipment overdueAwaiting fulfillment
02 / WAREHOUSEStock unavailableSKU-42 shortage
03 / HELPDESKCustomer waitingStatus update requested
ONE INCIDENT. A CLEAR CONTEXT.Human oversight

Connect the evidence.
Keep the decision.

Warehouse taskApprove
-Customer draftReject
Verify the effectFulfillment is confirmed separately.

A guided example, not a live operational feed.

Evidence before actionPer-step approvalIndependently verified effects

ONE LOOP. VISIBLE AT EVERY STEP.

From an exception
to an accountable action.

Let AI help with interpretation. Keep authorization, execution and verification in explicit, deterministic controls.

01

Catch the exception.

Bring order updates, stock signals and support requests into a single incident. Correlate the records, not just the alerts.

02

Investigate with evidence.

Read scoped source records. Inspect immutable snapshots and citations. Keep confirmed facts separate from hypotheses.

03

Approve the exact effect.

Review each proposed step, its target, conditions and rollback. Approve one action without approving its neighbors.

04

Verify what changed.

Recheck permissions before execution. Read the result back from the connector. A receipt alone is never proof of success.

BUILT TO BE USED, NOT JUST PRESENTED

A clear view.
A complete trail.

Step inside the workspace
THE ACTUAL OPSPILOT WORKSPACESynthetic demo
Actual OpsPilot overview with database-backed incident metrics, trend, connector health and exception queue

Real application. Real workflows. Synthetic operational records.

THE CONTROL PLANE IS YOURS

AI can propose.
It cannot
approve itself.

Every action has a target, a reason, a risk level and a required result. Your team can accept the useful step, reject the uncertain one, and see exactly what happened next.

  • Immutable evidence and cited findings
  • Independent decisions for individual steps
  • Policy rechecks before execution
  • Idempotent effects and visible failure states
Walk through the delayed-order scenario
Actual incident detail showing source evidence, facts, hypotheses, approved and rejected steps, and an independent verification result
Inspect the source. Scope the action. Read back the result.

PURPOSE-BUILT FOR YOUR OPERATIONS

Your systems.
Your boundaries.
A considered rollout.

OpsPilot is available through a custom implementation with Codefront Labs. We work with you on the signals, connectors, policies and review process your business needs.

Discuss purchase & implementationinfo@codefrontlabs.com
  1. 01

    Map the exception

    Define the signals, owners and business outcomes that matter.

  2. 02

    Connect the evidence

    Scope read access, approved sources and provider configuration.

  3. 03

    Put controls in place

    Agree on permitted effects, approval rules and verification checks.

  4. 04

    Roll out with visibility

    Validate your scenarios, deploy your workspace and plan ongoing support.

BEFORE YOU TAKE THE CONTROLS

A few clear answers.

Is this a working product or a visual prototype?

The interactive demo runs the real application against a persistent database and background workers. You can inject an incident, investigate evidence, approve or reject steps, execute a synthetic task, and inspect its verification and audit history.

Does the demo call a paid AI model?

No. Public demo workspaces use a deterministic provider for repeatable, offline analysis. A separate implementation can use a configured OpenAI-compatible provider with validated structured output. Model provenance is visible with findings.

Can it change our production systems?

The public demo cannot. Its connectors operate only on synthetic records and never send real customer messages. Production connectors and their scoped credentials, permitted effects, approval policy and postcondition checks are defined during a custom implementation.

How do we get OpsPilot for our team?

Contact Codefront Labs to discuss purchase and a custom implementation. We scope your systems, deployment, policies and rollout together. OpsPilot is not offered here as a self-service subscription.

Can we use our real customer data in the demo?

Use synthetic information only. A business implementation requires its own hosting, organization access, provider settings, credentials and agreed retention controls.

LESS GUESSWORK. MORE OVERSIGHT.

Bring your operations
back into view.