Governed LLMs for Agentic Workflows
Routing, cost controls, and evaluations for production-grade LLM usage.
Why LLM governance matters
LLMs power instruction following and summarization, but uptime, cost, and safety need a control plane to stay production-ready.
Multi-provider coverage and guardrails keep agents resilient and predictable.
Control plane essentials
These controls let teams scale model usage without sacrificing compliance or reliability.
- Multi-provider routing with health, latency, and cost guardrails.
- PII/redaction filters and approvals on sensitive prompts.
- Evaluations and traces to detect regression or drift.
Metrics to watch
Track latency, cost per call, and safety evaluations to tune routing policies over time.
- Model families live: 20+
- Governed calls: 100%
Operational guardrails
These safeguards keep LLM usage auditable and contained as volumes rise.
- Per-use-case routing policies balancing speed, cost, and safety.
- Quota and budget enforcement with alerting on drift.
- Redaction and access controls on sensitive prompts and outputs.
Rollout approach
Tighter iterations protect cost and quality while unlocking broader LLM coverage.
- Start with a single workflow, define success metrics, and measure baseline spend/latency.
- Enable multi-model routing once evaluations hit target quality.
- Continuously retrain guardrails as models update or domain language shifts.
Ready to explore
Map this to your workflows
Walk through your back-office operations, systems, volumes, and guardrail requirements. We'll map the workflow, controls, and rollout plan.