Define your rules once. pactflow compiles them into every agent, model, prompt, integration, and permission you ship so teams launch AI without bypassing compliance, IT, or risk.
SOC 2 Type II · Deploys in your VPC · No agent ships un-governed
Register, version, and gate every agent in one control plane.
Pin approved models and routes; block the ones risk hasn't cleared.
Treat prompts as code diffed, reviewed, and rolled back on demand.
Allow-list the tools and data each agent can reach nothing more.
Bind scopes to identity and policy, enforced at every call.
Trusted by platform & risk teams at
Write your guardrails as code once. pactflow compiles them into every agent surface, so the rules can't be skipped, forgotten, or copy-pasted wrong.
Try a live example# policy.pact compiled into every agent policy "support-agents": models: ["gpt-4o", "claude-opus-4"] tools: allow("zendesk", "kb.read") pii: redact("email", "card") change: require_review("risk") # ship it guardrails travel with the agent $ pactflow compile && pactflow deploy ✓ 312 agents recompiled · 0 violations
Every agent reaches production with its models, integrations, and permissions already bound to policy. No side doors, no shadow deployments, no agent running outside the control plane.
See the platformA new model, a tweaked prompt, a fresh integration every change runs through change-control review before it can reach a single user. Approvals, diffs, and rollbacks, logged for audit.
Explore change controlbilling-agent · prompt.diff - refund up to $500 without approval + refund up to $50; escalate above reviewers: risk ✓ finance ✓ eng pending status: awaiting 1 approval not yet live
Policy is already compiled in. Build, test, and deploy against the same guardrails production uses locally, from day one.
from pactflow import Agent agent = Agent("support", policy="support-agents") # guardrails enforced on every call agent.run("refund order 8821")
See what's deployed, what it can touch, and what changed across teams, clouds, and vendors from a single dashboard.
Every decision an agent makes and every change a human makes is logged, attributed, and exportable. Prove control without chasing screenshots.
“We went from a six-week security review per agent to a same-day approval. pactflow made the guardrails the default instead of the afterthought.”
“Finally, one place where I can see every agent and exactly what it's allowed to touch.”
“The change-control log is the first AI evidence our auditors didn't push back on.”
“Policy as code clicked for our engineers in an afternoon. Now it travels with every deploy.”
“We ship agents faster and sleep better. That combination didn't used to exist.”
We started pactflow after watching great AI projects die in review not because they were unsafe, but because no one could prove they were safe. So we built the layer that compiles your rules into every agent and keeps the receipts. Govern once; ship forever.
Read our storyFeatured blueprints
Refund limits, PII redaction, and escalation built in.
Read-only ledgers, dual approval on any write.
HIPAA-scoped data, no model leaves the VPC.
Brand-safe prompts with a human-in-the-loop gate.
Least-privilege scopes, every grant logged.
A field guide to launching AI agents that compliance, IT, and risk sign off on the first time.
38 pages · 12 reference policies
Practitioners shaping how enterprises ship AI responsibly share policies, compare notes, and trade war stories.