NigatTechnology

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.

01

Managed analytics and recurring reporting

02

Pipeline, connector, and data-quality operations

03

Forecast and model monitoring

04

Agent evaluation, permissions, and incident review

Delivery path

From current state to an operated system.

  1. 01

    Define service levels

  2. 02

    Instrument health and outcomes

  3. 03

    Resolve incidents

  4. 04

    Review monthly value

  5. 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 boundaries

Start 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.

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