Governed autonomy
Agentic AI for BFSI, health insurance & fintech
Autonomous workflows that plan, use tools, apply policy/rules, and produce audit-ready outputs.
Typical use cases
- KYC & onboarding evidence collection
- Claims triage + policy reasoning + recommendations
- Fraud/anomaly triage with human-in-the-loop
- Compliance reporting automation
Core stages
- Ingest → Extract → Reason → Risk → Decision → Audit
- Governance controls + traceability
- Evaluation harness + monitoring
- Secure deployment patterns
How clarixai delivers agentic outcomes
A modern, governed workflow model designed for regulated enterprise systems.
Live workflow preview
Document → Decision
Simulated
InputPDF / Images / Events
DetectDoc type + confidence
OutputNormalized payload
Scroll the stages on the right to see how each step behaves.
1) Ingest & classify
Bring in documents/events and normalize payloads for downstream decisioning.
InputPDF / Images / Events
DetectDoc type + confidence
OutputNormalized payload
2) Extract intelligence
OCR + NLP: entities, tables, codes and key signals.
OCR/NLPEntities + tables + codes
NormalizeICD / policy fields
OutputStructured data
3) Reason with agents
Agents apply policy/rules and knowledge (RAG) to recommend actions.
RAGPolicies + playbooks
ToolsRules + checks
OutputRecommendation
4) Risk & compliance
Fraud/anomaly signals + governance controls + audit evidence trail.
SignalsFraud / anomaly scoring
ControlsGovernance + audit
OutputEvidence trail
Try the Agentic AI demo
Upload a sample file (name only used for demo). Choose Local or API mode. No data is stored.
Upload input
Selected: None
Local mode runs in browser. API mode calls
/api/demo (Cloudflare Pages Functions).Workflow output
Ready
Upload a sample file and run the demo.
Build enterprise-grade AI with confidence
Talk to clarixai about your BFSI, health insurance or fintech roadmap — agentic workflows, GenAI/ML, cloud modernization, DevOps and security.