Stop AI mistakes before they happen.

Score and flag risky AI tasks - catch hallucinations, data leaks, and legal risks before any model takes action.

Orcho plugs into the tools your teams already use

Score tasks before AI touches them.

Flag risk as it happens.

Enforce compliance without blocking progress

Minimize hallucination across models

Track potential down stream effects

ChatGPT

Risk Assessment

Risk Recommendation

How It Works

Four simple steps to protect your AI workflows

Your agent sends the prompt, context, and model info to Orcho's risk engine via a simple POST request.

We evaluate prompt structure, intent, data access, environment, and model context in real time.

You get a 0–100 risk score with factor-specific breakdowns: downstream effects, data sensitivity, hallucination risk, and more.

Based on the score, you choose to allow, block, or route to a human - all inside your workflow.

Plan With Confidence (Pre-Execution)

Orcho integrates into your project tools - Jira, Linear, Azure DevOps - so you can flag which tasks go to AI and which require human touch.

Label tasks for agent-ready vs. human-only

Score risk during planning & ticket creation

Align AI use with security, compliance, and team preferences

Enforce in Real Time (Execution)

Orcho plugs into Claude Code, Codex, Cursor, Copilot, and other agent tools - enforcing policy and flagging risks the moment prompts are typed.

Real-time scoring of prompts, actions, and agent plans

Flag hallucinations, unsafe prompts, compliance violations before it is sent to an LLM

Add oversight without slowing agents down

Start scoring prompts, routing smartly, and catching failures before they happen.