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.
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Insights on AI for regulated industries.
Policy-driven agents, document intelligence, and enterprise automation — from the team building it.
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74 articles
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 token distribution, not token price alone. Learn how compiled execution controls variance.
AI Agent Pilot to Production Failure: Common Patterns and How to Avoid Them
Many AI agent pilots succeed in demos and fail in production because they assume clean data, simple policies, weak audit needs, and unrealistic autonomy. This guide explains the failure patterns and how to avoid them.
AI Agents for Accounts Payable: Invoice to Payment | MightyBot
AI agents for accounts payable: policy-driven invoice capture, three-way match, and exception routing that compresses invoice-to-payment from days to minutes.
Data Foundation for AI Agents: Architecture Matters
A strong data foundation for AI agents does not require perfect source data. Document intelligence normalizes messy inputs into governed, structured outputs.
API Orchestration with AI Agents
API orchestration with AI agents replaces hardcoded connectors with policy-driven execution that adapts mappings, handles errors, and supports testing.
AI Agents in the Legal Industry: Key Workflows
AI agents in the legal industry automate contract review, compliance monitoring, and document analysis with citations, access controls, and audit trails.
Best Structured Prompt Formats for LLMs, Ranked
The best structured prompt formats for LLMs, ranked by token cost and fidelity: evidence aliases, TOON tables, CSV, XML tags, and where JSON still belongs.
What Is Non-Human Identity Management for AI Agents?
Non-human identity management governs agent credentials for enterprise systems through least privilege, rotation, revocation, and identity-aware audit trails.
Fault-Tolerant AI Agent Pipelines
Fault-tolerant AI agent pipelines recover from API, LLM, and system failures with idempotency, checkpoints, retries, state machines, and circuit breakers.