Insurance Claim Processing
AI reads claim documents, cross-references policy terms, validates supporting evidence, and auto-approves 70% of straightforward claims. 4-day process reduced to 4 hours. Human reviewers handle only complex edge cases.
Most "AI automation" companies give you Zapier with a markup. We build custom AI agents that read documents, make decisions, and execute workflows — end to end, no human in the loop.
Get an AI Automation Roadmap
We build agents that understand context, not just if-this-then-that rules. Claude and GPT-powered decision engines that handle exceptions, ambiguity, and edge cases your current automation can't touch.
From document ingestion to decision to action. Invoice processing, claim adjudication, order fulfillment — fully autonomous pipelines. Not just "extract text" — the whole workflow, soup to nuts.
Your data, your models, your IP. On-prem or private cloud. No per-seat licensing that scales your costs linearly. Fine-tuned models that get better with your data over time.
AI reads claim documents, cross-references policy terms, validates supporting evidence, and auto-approves 70% of straightforward claims. 4-day process reduced to 4 hours. Human reviewers handle only complex edge cases.
Computer vision on the production line detects defects at 99.2% accuracy. Auto-rejects faulty units and alerts supervisors. Replaced 12 manual inspectors while improving detection rates from 87% to 99.2%.
End-to-end autonomous onboarding: document collection, background verification via API, offer letter generation, IT provisioning, and compliance training scheduling. Handles 500+ hires/year with zero HR bottlenecks.
| Capability | Traditional RPA | AI Automation (Our Approach) |
|---|---|---|
| Data Handling | Structured only (forms, spreadsheets) | Structured + unstructured (PDFs, emails, images, speech) |
| Decision Making | Rule-based, breaks on exceptions | Context-aware, handles ambiguity and edge cases |
| Maintenance | Constant — breaks when UI changes | Self-adapting — learns from data patterns |
| Scalability | Linear cost increase per bot | One model handles infinite volume |
| Learning | None — same performance forever | Improves with more data over time |
| Best For | Simple, repetitive, structured tasks | Complex decisions, document understanding, exceptions |
Claude API and GPT-4o for document understanding and decision-making. Custom fine-tuned models for domain-specific tasks. YOLOv8 for computer vision. Whisper for speech processing.
LangChain for AI agent chains. n8n and Temporal for workflow orchestration. Apache Airflow for batch processing. Custom decision engines for complex business rules.
REST APIs and webhooks for real-time connectivity. Kafka and RabbitMQ for event-driven architectures. Pre-built connectors for SAP, Salesforce, Oracle, Zoho, and custom ERPs.
AWS and GCP for cloud deployments. Docker and Kubernetes for containerized workloads. On-prem GPU servers for data-sensitive clients. Prometheus and Grafana for monitoring.
AI Automations Deployed
Annual Savings for Clients
Average Process Time Reduction
AI Decision Accuracy
Map your current workflows, identify automation candidates, rank by ROI. Deliverable: automation roadmap with prioritized opportunities.
→ Automation RoadmapBuild a working prototype for the highest-impact workflow. Test with real data. Validate accuracy and edge cases.
→ Working PrototypeHarden the prototype, add error handling, integrate with your existing systems. Load testing and security review.
→ Production-Ready SystemGo live with monitoring, alerting, and runbooks. Train your team on the new system. 30-day support included.
→ Live DeploymentMost agencies hide pricing. We don't. Exact costs depend on scope — we provide a detailed estimate after the process audit.
One AI-automated workflow — invoice processing, claims handling, or resume screening. Includes process audit, build, and deployment.
Multiple connected workflows for an entire department. Shared AI models, unified dashboard, and cross-process optimization.
Organization-wide AI automation with custom models, on-prem deployment, team training, and long-term support.
Contact UsAI automation uses machine learning and natural language processing to handle unstructured data and make decisions — unlike RPA which follows rigid if-this-then-that rules. RPA breaks when a form field moves or a PDF format changes. AI automation reads documents like a human, understands context, and handles exceptions. We use both: RPA for structured, predictable tasks and AI for everything else.
Share the process that drains your team. We'll respond with an automation roadmap and ROI projection — not a sales pitch.
Your information is secure. We never share your data.