Insights / Topic
AI & Automation
Agents, evaluation, permissions and the economics of AI in production.
AI & Automation
Your AI prototype works. Is the workflow ready for production?
A practical way to scope an AI workflow, evaluate real failures, design human review and release a system that can be paused safely.
AI & Automation · Illustrative scenario
An example path from AI claims prototype to production
A hypothetical claims-intake design that separates extraction, routing and human decisions, then tests failures before release.
AI & Automation
Who can an AI agent act for? Design tool permissions for production workflows
Design AI agent permissions around the real actor, allowed action, target resource and approval state, then test denial and revocation.
AI & Automation
What does an AI agent cost per successful task?
Calculate AI agent cost per successful task using all model calls, retries, tools and human review, then compare options without hiding failures.
AI & Automation
How should you secure an MCP server before connecting it to company data?
A practical MCP server security plan for identity, token scope, tool permissions, audit logs and denial tests before company data is connected.
