Governance for Claude Cowork: Guardrails Before You Scale
Governance guardrails leadership needs before scaling Claude Cowork: least-privilege connectors, tiered review, audit trails, and a policy config.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Governance guardrails leadership needs before scaling Claude Cowork: least-privilege connectors, tiered review, audit trails, and a policy config.
Turn a few Claude Cowork power users into org-wide capability: habits, norms, shared plugins, and a 7-step adoption rollout that actually sticks.
An honest cost model for Claude Cowork: the three savings pools, a paste-in formula, common pitfalls, and a 6-step way to prove enterprise ROI.
A staged playbook for moving an enterprise workflow onto Claude Cowork agents — shadow mode, human-in-the-loop, gradual rollout, and instant rollback.
Build an eval loop for Claude agents — pick metrics, write cases from real transcripts, use calibrated LLM judges, and gate every release on quality.
Secure Claude Cowork agents with sandboxing, least-privilege connectors, secrets isolation, and prompt-injection defense for enterprise deployment.
Keep Claude Cowork and Agent SDK runs cheap and fast with prompt caching, batching, context pruning, and per-step model routing.
Trace and fix the four Claude Cowork failure modes — loops, wrong tool calls, hallucinated args, silent no-ops — with replayable transcripts and guards.
What to keep in a Claude Cowork agent's context and what to leave out — base context, on-demand skills, tool retrieval, crisp rules, and curated examples.