7 essential guardrail decisions for deploying enterprise AI agents successfully

What this post added

This post details seven essential guardrail decisions for deploying enterprise AI agents successfully. It covers model choice and hosting (managed APIs, private cloud, on-premises), decision architecture and retrieval-augmented generation (intelligence, decision, execution, action, learned layers), tool permissions and role-based access control (RBAC, default deny, credential scoping), human-in-the-loop and risk tiers (low, medium, high risk tiers with corresponding oversight types), observability and audit logging (instrumentation frameworks like OpenTelemetry), input and output validation with content safety, and cost controls and financial operations (FinOps, per-session/agent budgets, circuit breakers). It also highlights how Glean's platform incorporates these principles.