Operate & improve
Keep the data, models, dashboards, and AI workflows reliable after launch.
Nigat monitors the systems it builds, owns the exception backlog, measures business use, and improves the workflow as source systems and operating conditions change.
The operating problem
A successful pilot degrades after a source changes, a model drifts, a connector fails, costs rise, or nobody owns unresolved exceptions.
The first goal is not a platform. It is a reliable path from the current evidence to a better decision or completed workflow.
What changes
- Clear operational ownership and response paths
- Data, model, and agent health monitoring
- Cost, adoption, and business-outcome review
- A managed improvement backlog rather than shelfware
Use cases
Where this capability earns the right to stay.
Examples are illustrative and must be validated against the customer’s systems, data, and economics.
Pipeline, connector, and data-quality operations
Forecast and model monitoring
Agent evaluation, permissions, and incident review
Delivery path
From current state to an operated system.
- 01
Define service levels
- 02
Instrument health and outcomes
- 03
Resolve incidents
- 04
Review monthly value
- 05
Release controlled improvements
Engagement limits
Four limits apply to every Nigat engagement regardless of capability, and they are stated once rather than restated on each service page.
Read the full boundariesStart with the operating problem
Show us where the work slows down.
You do not need a polished technical brief. Describe the decision, handoff, report, document workflow, or AI initiative that is harder than it should be.