AI Agents in Insurance Claims Processing
AI agents in insurance claims processing automate document review, coverage analysis, compliance checks, fraud screening, and evidence-backed routing.
Blog
Insights on AI for regulated industries.
Policy-driven agents, document intelligence, and enterprise automation — from the team building it.
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90 articles
How MightyBot Compiles Plain English Workflows
MightyBot compiles plain English policies into deterministic workflows that combine fixed code paths with structured LLM calls for repeatable execution.
Total Cost of Drag-and-Drop Workflow Builders
Drag-and-drop workflow builders grow costly at enterprise scale because exceptions, maintenance, versioning, testing, and governance compound with every flow.
What Is Progressive Autonomy for AI Agents?
Progressive autonomy lets AI agents earn independence through performance data, human review, policy controls, and reversible Audit, Assist, and Automate modes.
Why Your AI Pilot Succeeded but Production Failed
AI pilots succeed in controlled settings but fail in production without ownership, policies, audit trails, exception handling, and progressive deployment.
Building AI Agents That Don't Hallucinate
AI agents hallucinate when runtime loops improvise tool calls and decisions. Compiled execution uses inspectable plans and bounded model calls to reduce risk.
What CISOs Need to Know About AI Agent Security and SOC 2
SOC 2 is only a baseline for AI agent security. CISOs should assess tenant isolation, policy governance, evidence, prompt injection, and autonomy controls.
What Is a Non-Human Identity (NHI)? | MightyBot
Non-human identities (NHIs) let AI agents access systems. Learn how least-privilege access, credential rotation, and audit trails support regulated workflows.
AI Document Processing for Construction Lending
AI document processing for construction lending classifies draw packages, extracts fields, reconciles evidence, applies policies, and supports audit review.
Why RAG Alone Isn't Enough for Regulated Industries
RAG retrieves information, but regulated industries also need extraction, policy enforcement, evidence chains, governed actions, and auditable decisions.
What Is Deterministic AI? Reproducible Decisions | MightyBot
Deterministic AI produces consistent, auditable outputs from probabilistic models. Learn how policy layers create the reproducibility financial services compliance demands.
Agentic AI in Financial Services: From Pilot to Production
Move agentic AI in financial services from pilot to production with progressive automation, policy enforcement, audit trails, and production-grade workflows.