Solutions

Data and AI systems built around a business decision.

Start with a bounded problem, use the least complex reliable method, integrate the result into work, and can keep operating it after launch.

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Trusted operating data

Data & Analytics

Nigat turns disconnected financial, customer, operational, and document data into a trusted decision layer the business can operate.

One governed definition of the critical metrics
Automated reporting across selected systems
Data-quality checks and operating ownership

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Decision models

Forecasting & Machine Learning

Nigat builds practical forecasting, scoring, optimization, and anomaly-detection systems only when a model improves a real decision.

A measurable baseline before model development
Transparent model selection and error analysis
Confidence ranges and human override

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Evidence operations

Document AI & Workflow Automation

Nigat builds source-cited workflows for PDFs, email, forms, claims, policies, certificates, and approvals without hiding consequential decisions in a black box.

Structured facts linked to the original source
Versioned rules and configurable checks
Exception queues with ownership and deadlines

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Controlled AI

AI Assistants & Controlled Agents

Nigat designs assistants and agents that retrieve, draft, route, and follow up inside a defined workflow with permissions, evaluation, and auditability.

A narrow workflow with a named owner and success metric
Permission-aware access to approved sources and tools
Human approval for consequential actions

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Operate & improve

Managed Intelligence

Nigat monitors the systems it builds, owns the exception backlog, measures business use, and improves the workflow as source systems and operating conditions change.

Clear operational ownership and response paths
Data, model, and agent health monitoring
Cost, adoption, and business-outcome review

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NeedBest first methodWhat Nigat adds

Numbers disagreeData reconciliationBusiness definitions, quality, ownership, and operating views

Planning is uncertainBaseline + forecastingUncertainty, action integration, and monitoring

Documents create reworkRules + document AISource citations, reviewer workflow, and outcome

AI pilot lacks controlBounded agent designIdentity, permissions, tests, approval, and audit

System degrades after launchManaged operationIncident ownership, value review, and improvement

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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