Answers with context
Ask about a connected system using your business terminology and available records. Inspect the source before acting.
Early-stage product · Built in India
Business answers and actions.
With you in control.
AI Ops connects business systems to AI-assisted work. Ask questions, review proposed changes, and check what actually happened—with permissions and approvals along the way.
Public prototype · Synthetic data · Simulated integrations · No sign-in required
OpsPilot runs separately from the AI Ops platform, which is still in development.
The customer outcome
Useful work starts with knowing what you can trust.
Our focus is the journey from a supported business question to a reviewed action and a confirmed result. These are the core experiences being developed and validated.
Access and review
Organization and workspace permissions control available operations. Configured policies can require confirmation or an approver.
Outcomes you can inspect
Follow requests through review and execution. An approval is a decision; the execution result tells you whether the change completed.
Try an actual prototype
Meet OpsPilot.
Our e-commerce operations prototype demonstrates the problem that led us to AI Ops: teams need to understand store exceptions, review consequential changes, and see whether a requested action completed.
The store data is synthetic and shared by demo visitors. The role selector demonstrates behavior; it is not production authentication. No real payments, customer messages, or vendor updates are sent.
Open OpsPilot (opens in a new tab)A short walkthrough
- 1
Inspect the operations inbox
Compare delayed shipments, low stock, and pending approvals with the recorded store data.
- 2
Ask a business question
Try “Which shipments are delayed?” in the Operations Assistant and inspect the orders it uses.
- 3
Explore a review
Use the in-product guide to request a demo action. Review its policy reasons before approving or rejecting it.
- 4
Follow the outcome
Open Approvals and Audit Timeline. Check the decision and the execution result separately.
How AI Ops works
Connect. Review. Act. Verify.
The platform keeps the connected system, available operations, access rules, and recorded outcomes in one journey. Integration developers can also explore the Chat SDK for their own interfaces.
- 01
Connect a supported system
Configure a connection and its credentials, discover available operations, and check that the connection works.
- 02
Set access and policy
Choose who can use each operation and which requests need confirmation or approval.
- 03
Ask and review
Ask in plain language, inspect the proposed change, and complete any required review.
- 04
Check the result
Read the recorded outcome and audit evidence. If execution fails, the request must not appear successful.
Who we are building for
Teams working across business systems.
Operators need useful answers, approvers need to understand consequences, and administrators need control over access. Developers need a supported path into the systems their teams already use.
First example: store operations
OpsPilot explores delayed orders, inventory changes, refunds, and discount reviews. It gives you a concrete example to evaluate today.
Broader direction: connected business work
AI Ops is designed around generic connections and operations. Further CRM, finance, support, and industry-specific journeys require supported integrations and customer validation.
What we are still qualifying
Production deployment, customer pilots, additional connectors, and notification delivery. We do not claim production SLAs or completed customer outcomes from prototype testing.
Access and pricing
Explore first. Discuss a pilot.
The public OpsPilot prototype is free to explore. AI Ops subscriptions and paid plans are not open yet; pricing, capacity, hosting, and model costs will be agreed for a supported pilot.
Discuss early accessBefore you get started
Can I use AI Ops today?
AI Ops is in development. The core platform has connection, chat, governance, approval, and audit experiences under validation. Production readiness and customer onboarding are still being qualified. Contact the founder to discuss a supported pilot.
Is OpsPilot the same product?
OpsPilot is a separate, earlier e-commerce prototype that informed AI Ops. It demonstrates operational questions, policy review, and recorded actions using synthetic store data. It is not connected to the AI Ops Gateway, and its Shopify, Stripe, and Zendesk integrations are simulated.
Does AI Ops store connection credentials?
When a connection needs a secret, the Gateway stores encrypted credential material scoped to the organization. Your connected system remains the source of truth. Before a pilot, review credential access, retention, and deployment requirements with us.
Which systems can I connect?
Start with the documented REST/OpenAPI connection journey. Compatibility depends on the API, authentication method, and available operations. Additional connection paths need qualification for your system; a vendor logo or a roadmap item is not proof of a supported integration.
How do approvals work?
Configured policies can pause an operation for review in the dashboard. The approver reviews the request, then the product records the decision separately from the execution outcome. Notification channels depend on the configured and verified delivery path.
Building AI Ops in India.
I’m Muthu, the founder building AI Ops. If your team spends time checking business exceptions and coordinating reviews, I’d like to understand your workflow and explore whether a pilot fits.
Contact the founder