Agent Governance for ML Engineering Teams
Runtime governance that integrates into your deployment pipeline. Monitor agent performance, enforce scope boundaries, track costs, and route approvals — without slowing down your release cycle.
The Challenge: Agents in Production Without Guardrails
ML teams deploy agents fast, but production governance hasn't kept up:
🚀 Deployment Without Governance
Agents ship to production with no standardised quality gates, scope boundaries, or cost controls. Teams move fast but governance is an afterthought — until something goes wrong and there's no audit trail to investigate.
📉 Silent Performance Degradation
Agent quality degrades over time as models drift, prompts change, and data shifts. Without continuous outcome assessment, you only discover problems when users complain or downstream systems break.
💸 Uncontrolled Compute Costs
Token usage, API calls, and compute costs scale unpredictably. No per-agent cost attribution means you can't identify which agents are expensive, which are efficient, and where to optimise.
How Prefactor Supports ML Engineering
Prefactor adds governance to your agent deployments without adding friction:
🔍 Runtime Agent Monitoring
Continuous visibility into agent behaviour in production. Track outcome quality, latency, error rates, and scope adherence across every agent run — surfaced in dashboards your team already uses.
🎯 Scope Enforcement
Define approved boundaries per agent — which tools, APIs, and actions are permitted. Prefactor enforces scope in real time, blocking out-of-bounds actions before they complete.
💳 Per-Agent Cost Attribution
Track tokens, API calls, and compute costs per agent and per run. Identify cost outliers, set budget thresholds, and get alerts before spend spirals. Data-driven optimisation instead of guesswork.
⚡ Pipeline Integration
Prefactor integrates into your CI/CD pipeline. Governance gates run as part of your deployment process — not as a separate approval workflow that slows releases.
🔄 Approval Routing
When an agent crosses a risk threshold, Prefactor routes to the right human — agent owner, team lead, or governance team. Configurable chains, not bottlenecks.
📊 Outcome Quality Assessment
Automated scoring of agent outputs against success criteria you define. Track quality trends over time, detect regressions early, and maintain production standards.
Engineering-First Governance
Prefactor is built for engineering teams, not compliance bureaucracy:
API-First Architecture
Everything in Prefactor is API-accessible. Integrate governance into your existing toolchain — Terraform, Kubernetes, GitHub Actions, or custom orchestration.
Observable by Default
Prefactor surfaces governance data through standard observability patterns. Integrate with Datadog, Grafana, or your existing monitoring stack.
Minimal Integration Overhead
Lightweight SDK integration. Add governance to existing agents without rewriting orchestration logic or changing your deployment architecture.
Framework Agnostic
Works with LangChain, CrewAI, AutoGPT, custom frameworks, and any agent that speaks HTTP. One governance layer for your entire agent fleet.
Frequently Asked Questions
How does Prefactor integrate with existing ML pipelines?
Prefactor provides SDK and API integrations that slot into your existing CI/CD pipeline. Governance gates run alongside your deployment process — agents are assessed against quality, cost, and scope criteria before reaching production.
Does Prefactor add latency to agent execution?
Prefactor's assessment runs asynchronously for most operations. For inline blocking (scope violations, budget thresholds), enforcement adds sub-100ms latency. The governance layer is designed not to bottleneck agent performance.
Can we set different governance policies per agent or per team?
Yes. Policies are configurable per agent, per team, or per environment. Development agents can run with lighter governance while production agents enforce strict quality, cost, and scope controls.
Does Prefactor work with our existing observability stack?
Prefactor integrates with standard observability platforms — Datadog, Grafana, PagerDuty, and others. Governance events, risk scores, and agent metrics flow into your existing dashboards and alerting.
Continue your research
Ready to Add Governance to Your Agent Pipeline?
See how Prefactor integrates into your engineering workflow — governance that ships with your agents.
Book a Demo