Maximize ROI From AI Before It Runs
Orcho helps teams decide which AI tasks are worth executing, so you get real ROI from AI without downstream rework or compliance risk.
Orcho plugs into the tools your teams already use
Use AI where it works. Avoid it where it doesn't.
Evaluate AI tasks before they run to prevent low-value execution
Save engineer hours and token cost lost to retries, re-prompting, and cleanup
Apply higher compute only when it's likely to pay off
Reduce hallucinations and unintended downstream impact
Strengthen compliance as a byproduct of better decisions
| Risk Factor | Score | Level |
|---|---|---|
How It Works
Four steps to maximize AI ROI before execution
AI Task Sent for Evaluation
When an engineer or agent is about to use AI, the task, context, and model choice are sent to Orcho via a lightweight API call.
(No workflow changes, no approvals.)
Orcho Evaluates Task Suitability
Orcho analyzes whether the task is actually a good candidate for AI, factoring in ambiguity, context, data access, environment, and model behavior in real time.
This determines how likely the task is to create rework, retries, or cleanup if it runs as-is.
Decision Signals Returned
Orcho returns a simple signal indicating the expected value of running the task with AI, along with clear factors that influence the decision: such as likelihood of rework, data sensitivity, or low verifiability.
The goal isn't to block AI; it's to make the tradeoff visible before execution.
Work Is Routed Intentionally
Based on the signal, teams choose to:
- • proceed with AI
- • clarify or adjust the task
- • route to a human
- • apply higher or lower compute
All decisions happen directly inside existing workflows.
Plan AI handoff the smart way.
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
Keep your agents in check.
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
Use AI where it pays off. Avoid it where it doesn't.
Make better AI decisions before execution and eliminate hidden rework.