The policy layer forhumans and AI
It’s not enough to have policies– you have to be able to enforce them. InPolicy sits between your employees, their AI agents, and the world — enforcing your policies in real time across human and agentic communications.
We're solving the hardest problems in context engineering that currently block widespread adoption of agentic AI for enterprise.
Humans Say the Wrong Thing.Agents Will Say It at Scale.
“Move fast and break things” is the AI ethos –but not yours. Any frontier AI model can write a client email, summarize a regulatory filing, answer a customer question. The technology works
The issue is none of them know your policies or the facts required to enforce your policies. You could swap in the best model in the world tomorrow and the problem wouldn't move.
This isn’t a model problem.It’s a context problem.
What We Do
Policy Infrastructure for Enterprise
Agentic Policy Management
Get the policies, structure them for AI, add metadata, follow-up to resolve ambiguity, issues, conflicts, suggest new policies. Respond in real time to changes.
Agentic Tenant Context
Identify what gaps exist where we can't enforce the policies until we have some information, then go out and get that context from the web or from the right people.
Conversational Context Management
What policies apply often depends on what’s been said before– we track what policies are relevant and/or binding through the turns the conversation.
Real-Time Policy Enforcement
All of this needs to be structured and presented back to a human or agent with very low latency, while maintaining the highest privacy and security standards.
How we’re solving this.
TwoProducts.
OnePolicyLayer.
InPolicy For Humans
Real-time policy enforcement at the moment of communication, before anything is sent.Like spell-check but for policies.
InPolicy for Agents
The same policy infrastructure your people operate under, extended to every AI agent in your organization.
How It Works
InPolicy For Humans
Nobody wants to feel spied on. InPolicy is designed to be a helpful coach, not a snitch. InPolicy for Humans keeps users compliant before they press “send. How do we do this?
Private Corrections
Alerts happen locally on the user's screen with a friendly interface that looks and feels like a spell-check. If they fix the issue, no one needs to know.
Aggregate Analytics
You get a dashboard showing which policies are being triggered and fixed, so you can identify confusion, without singling out specific employees.
InPolicy For Agents
AI agents are being deployed to write client communications, respond to regulatory inquiries, negotiate terms, and execute workflows at a scale no human team could match. Most enterprises are discovering that the models are ready — but there's no infrastructure to tell them what they're allowed to say. InPolicy for Agents closes that gap.
Inference-time policy injection
Your policies arrive at the model as a structured context object, not raw documents. Relevant, binding, and grounded in your real-world business context. Reasoning quality is preserved.
Any model, any framework
Compatible with OpenAI, Anthropic, and open-source models. Works with any agent orchestration layer via REST API or MCP server. Drop it into what you're already building.
Session-aware enforcement
What's binding depends on what's been said. InPolicy tracks policy activation state across conversation turns, so enforcement reflects the full session, not just the last message.
Pre- and post-inference checks
Context is injected before inference. Output is validated after. Both stages operate at low latency, so policy enforcement doesn't become a bottleneck in production agent workflows.
Don't just write policies,enforce them.
InPolicy is for the lawyers, the marketing team, compliance leaders, anyone on the hook
for making sure people and agents saythe right thing, at the right time, the right way.
We’re building the infrastructure that gives AI agents the context to act responsibly inside a real business. Your policies, your regulatory environment, your risk posture, available at inference time, enforced in real time.
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