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Policy-driven agents, document intelligence, and enterprise automation — from the team building it.
69 articles
The AI agent platform market is flooded with vendors claiming to be enterprise-grade and production-ready. This buyer's checklist helps enterprise teams evaluate architecture, governance, security, cost, portability, and implementation risk before choosing a platform.
AI coding agents are no longer just for software engineering. Learn how leadership and management teams can use Codex, Claude Code, and terminal agents for operating reviews, board prep, sales workflows, documents, spreadsheets, analysis, and automation.
Healthcare organizations are deploying AI agents for prior authorization, claims adjudication, medical coding, clinical documentation, and revenue cycle management, but generic AI platforms cannot navigate HIPAA, payer policy, clinical guideline, and state-rule complexity without policy-driven execution.
AI agents are running in production, but most teams can't answer a basic question: why did the agent do that? Traditional observability tools were built for request/response...
Every enterprise is deploying multiple AI systems. The conventional wisdom says "best of breed" wins. For horizontal AI tools, that may be true. For regulated workflows that...
An AI agent operating model is the organizational framework that defines what agents can do (policies), how they escalate (progressive autonomy), what they prove (audit...
Only one in five companies has a mature governance model for AI agents. Those companies are deploying agents in higher-value workflows because they have the confidence to do...
80% of companies exceed their AI cost forecasts by 25% or more. The primary driver is not model pricing. It is architectural waste: ReAct agents that retry failed actions, reload context at every step, and burn tokens on redundant reasoning loops.
Insurance claims processing is one of the most document-intensive workflows in any industry. AI agents can compress that timeline while enforcing compliance at every step.
MightyBot's compilation pipeline transforms plain English policies into hybrid execution plans that combine deterministic code paths with structured LLM calls.
Visual workflow builders look fast on day one. But at enterprise scale, the maintenance burden, brittleness, and governance gaps make them one of the most expensive architectural decisions a company can make.
Progressive autonomy is the operating model where AI agents graduate through increasing levels of independence based on demonstrated performance. The three levels are Audit (AI executes, humans review everything), Assist