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Agentic RAG‑as‑a‑Service with rapid prototyping and deployment
LLM‑based reasoning and multi‑agent orchestration
Knowledge graph integration for relationship‑aware retrieval and grounding
Hybrid lexical, semantic, and graph search with re‑ranking
Low‑code/no‑code GenAI app builder with drag‑and‑drop design
Intelligent document search and natural‑language Q&A
Automated data ingestion, extraction, validation, and transformation
Scalable, modular Agent Framework (Reasoning and Orchestrator Agents)
SOC2 Type 2 security and enterprise‑grade compliance
Flexible LLM and tool integration (GPT‑4o, Claude; open protocols like MCP and A2A)
Cache Augmented Generation for structured data extraction
LLMCompiler for complex workflow optimization
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Accelerate triage and adjudication with AI claims agents that validate, summarize, and recommend next actions.
Automate submission intake, risk scoring, appetite checks, and quote generation with the AI Underwriter Agent.
Deploy grounded RAG chatbots that answer account and policy questions accurately and reduce handle time.
Provide employees a natural‑language Q&A interface over policies, procedures, manuals, and tickets.
Use graph‑powered retrieval to monitor policy adherence, surface exceptions, and streamline audits.
Enable service co‑pilots that fetch relevant knowledge and suggest next‑best actions in real time.
Build hybrid search pipelines unifying databases, CRM/ERP, and document stores without heavy coding.
Detect anomalies and minimize leakage using multi‑agent reasoning and cross‑document validation.
Integrate GenAI via open protocols (MCP, A2A), manage permissions, and move agents from test to prod.
Automate document intake, extraction, and validation for prior auth, billing, onboarding, and more.
Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.













