Prefactor

Make your AI agents reliable.

Freemium

Description

Prefactor is an enterprise platform designed to monitor, evaluate, and control AI agents deployed across business workflows. With real-time observability and granular risk management, it ensures AI agents deliver intended outcomes while operating within approved boundaries and compliance requirements.

By providing continuous quality checks, policy enforcement, and comprehensive audit trails, Prefactor empowers teams to detect operational drift, mitigate risk, and uphold governance standards as they scale AI initiatives across the organization.

Key Features

Agent Observability: Monitors agent activity across systems and workflows.
Risk & Quality Scoring: Evaluates and scores agents for operational risk and output quality.
Real-Time Enforcement: Blocks, throttles, or sandboxes unsafe agent actions instantly.
Automated Drift Detection: Identifies agents deviating from approved policies or performance.
Approval Workflows: Supports multi-stage, stakeholder-routed approval chains.
Comprehensive Audit Logging: Captures every workflow action, policy decision, and event.
Data Classification: Detects and manages 17+ sensitive data types including PII and financial records.
Integration with Agent Frameworks: Compatible with OpenAI, Anthropic, LangChain, CrewAI, LlamaIndex, AWS Bedrock, and custom setups.
Custom Policy Enforcement: Enforces organization-specific risk and quality frameworks at runtime.
Role-Based Access & Views: Delivers custom dashboards and views for different organization roles.

Use Cases

Enterprise AI agent monitoring and governance
Compliance automation for AI workflows
Risk assessment of AI agent activities
Enforcing sensitive data and PII policies
Audit preparation and incident response for AI systems
Operational drift detection and remediation
Approval gating for high-risk agent actions
Performance monitoring of AI-driven business processes

Frequently Asked Questions

What is AI agent management?

AI agent management is the discipline of tracking, assessing, and governing AI agents across their lifecycle from pilot to production. It provides visibility into agent activities, performance, and compliance, enabling enterprises to scale AI safely.

How does Prefactor enforce governance on AI agents at runtime?

Prefactor applies policies directly at the agent execution layer, blocking risky actions, detecting sensitive data in outputs, and routing high-risk operations for human approval. This runtime enforcement adapts as agents operate.

What types of data does Prefactor look for?

Prefactor detects 17 categories of sensitive data, including standard PII, financial records, credentials, confidential business data, and GDPR Article 9 special categories such as health, biometric, and genetic data.

Can I start for free and upgrade later?

Yes, users can start on the Sandbox tier with up to 5 workflows for free and upgrade to Pro or Enterprise plans as requirements grow, with seamless data and configuration migration.

What frameworks does Prefactor support?

Prefactor integrates with LangChain, Anthropic, OpenAI, and any framework compatible with MCP. Enterprise plans offer custom integration support for proprietary orchestration layers.