Why Your AI Pilot Succeeded but Production Failed: The Governance Gap
Most AI failures don't happen during the pilot. They happen six months later, when the pilot "succeeds" and the organization tries to run it for real.
Blog
Insights on AI for regulated industries.
Policy-driven agents, document intelligence, and enterprise automation — from the team building it.
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69 articles
Building AI Agents That Don't Hallucinate: Compiled Execution vs. ReAct Loops
Summary: Most AI agent frameworks use ReAct loops that hallucinate tool calls, burn tokens, and produce non-deterministic results. MightyBot compiles plain English policies into hybrid execution plans that combine LLM re
What CISOs Need to Know About AI Agent Security and SOC 2
A CISO's evaluation framework for AI agent vendors: six security requirements beyond SOC 2, shadow AI risk mitigation, and EU AI Act compliance — what to demand before allowing AI to process sensitive data.
What Is a Non-Human Identity (NHI)? The AI Agent Security Guide
Non-human identities (NHIs) let AI agents access enterprise systems. With 144 machine identities per human, NHI governance is now critical — especially in regulated industries.
AI Document Processing for Construction Lending: Beyond OCR
Purpose-built AI document processing for construction lending goes beyond OCR — handling multi-document draw packages through classification, extraction, normalization, and cross-document reconciliation.
Why RAG Alone Isn't Enough for Regulated Industries
RAG retrieves information, but regulated industries need policy enforcement, evidence chains, and auditable decisions. Five gaps between RAG and production-grade AI for financial services.
What Is Deterministic AI? Why Regulated Industries Need Reproducible Decisions
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
What it takes to move agentic AI from pilot to production in financial services. Three non-negotiables, five proven use cases, and lessons from live deployments processing real transactions.
What Is AI Agent Guardrails? Beyond Content Moderation to Behavioral Control
AI agent guardrails are architectural constraints on what autonomous systems can do — not just content filters. Learn the five layers of behavioral guardrails for regulated industries.
How Policy Agents Enforce Compliance Without Slowing Down Automation
Policy agents embed compliance directly into AI automation : converting business rules to executable logic with why-trail auditing, policy versioning, and progressive oversight that eliminates the speed-vs-compliance tradeoff.
What Is Human-in-the-Loop AI? From ML Training to Agent Governance
Human-in-the-loop AI has evolved from a training technique into governance architecture for autonomous agents. Learn the three HITL modes and EU AI Act requirements.
AI Agents vs RPA in Financial Services: When to Switch, When to Combine
A practitioner's comparison of AI agents and RPA for financial services. RPA automates deterministic UI tasks; AI agents handle document interpretation and policy-based judgment. Learn when to use each and how to combine them.