Why Voting Does Not Get AI Agents to 99%
Majority voting cuts random AI agent errors but hits a costly floor near 10%. Why deterministic execution and targeted review perform better.
Blog
Insights on AI for regulated industries.
Policy-driven agents, document intelligence, and enterprise automation, from the team building it.
Page 4
106 articles
What Is a Why-Trail? Audit Trails That Explain Decisions
A why-trail connects every AI agent decision to its policy version, source evidence, evaluated data, timestamps, final outcome, human review, and overrides.
AI Agent Speed Economics: What Cycle Time Is Worth
Cycle time is a third AI agent ROI axis alongside labor and technology cost. Learn how lending, insurance, and operations can price faster turnaround.
Structured Outputs for Enterprise LLMs
Structured LLM outputs make enterprise data parseable with enforced schemas, while evidence pointers, deterministic checks, and review routing make it reliable.
What Are Policy Profiles for AI Agent Workflows?
Policy profiles let one AI workflow apply rules by jurisdiction, counterparty, or product while preserving auditability and avoiding duplicated workflows.
2026 Enterprise AI Agent Market Map
Map the five enterprise AI agent categories in 2026 and compare who builds each workflow, who owns the logic, and how execution works at runtime for buyers.
Token Economics of AI Agents in 2026
AI agent token economics depend on cost per decision: architecture controls context replay, caching value, retry costs, and whether budgets stay predictable.
What Is an Agent Compiler? Plain English to Working Agent
An agent compiler turns plain-English policies and workflows into executable AI agents: no drag and drop, no code, and every decision traced to its source.
AI Agent Cost Controls for Production Architecture
AI agent cost controls bound workflow spend before runtime with fixed plans, scoped retrieval, model routing, deterministic checks, and outlier alerts.
What Is a Constrained Agent Runtime?
A constrained agent runtime limits AI agents to approved policies, tools, data, validation checks, escalation paths, and auditable actions in production.
How to Budget for AI Agent Workflows
Budget AI agent workflows by cost per completed decision, including execution, exceptions, audits, and variance, with workflow-level limits and alerts.
The Unit of AI Cost Is the Distribution
AI agent cost can vary 30x across identical runs because it depends on the token distribution, not token price. How compiled execution controls variance.