Enterprise Computer-use agents that click with 99% accuracy
An enterprise used Future AGI to simulate UI workflows, block destructive actions, and achieve 99% click accuracy for CUA agents.
Key Results
CUA agents clicking the wrong button on a live system is our worst nightmare. Future AGI's simulation and blocking gave us the confidence to actually deploy them.
Use Cases
The Challenge
Computer-use agents (CUAs) that navigate real UIs - clicking buttons, filling forms, and navigating between applications - represent the frontier of AI automation. But they also carry the highest stakes: one wrong click on a live system can delete data, send emails, or trigger irreversible transactions.
An enterprise building CUA agents to automate internal workflows across CRM, ERP, and HRIS systems encountered critical risks:
- Wrong clicks - Agents clicked “Delete” instead of “Archive,” “Submit” instead of “Save Draft”
- Form fill errors - Agents entered data in wrong fields or submitted incomplete forms
- Navigation failures - Agents got lost in complex multi-page workflows, especially after UI updates
- No rollback - Actions on live UIs are immediate and often irreversible
The Solution
Future AGI provided a safety framework specifically designed for computer-use agents:
UI Workflow Simulation
The team simulated complex multi-application workflows in sandbox environments before touching production. Each simulation tested the agent’s ability to:
- Navigate between applications correctly
- Identify the right buttons, fields, and menus
- Handle pop-ups, loading states, and error dialogs
- Complete end-to-end workflows across 5+ applications
Action Evaluation
Every click, form fill, and navigation was evaluated for correctness:
- Target accuracy - Did the agent click the intended element?
- Input validation - Was the data entered correct and complete?
- Sequence correctness - Were steps performed in the right order?
Destructive Action Blocking
A real-time guardrail layer intercepted high-risk actions before execution:
- Delete, remove, and terminate operations required explicit confirmation
- Financial transactions above thresholds were flagged and held
- Email/message sends were reviewed before delivery
Screen Session Tracing
Complete visual recordings of every agent session enabled frame-by-frame debugging. When an agent failed, engineers could replay exactly what it saw and did.
The Results
- 99% click accuracy across all production workflows
- Zero destructive actions reached production (all caught by guardrails)
- 5x more UI flows tested before deployment than with manual QA
- Navigation failures reduced by 75% after simulation-driven improvements
- Full auditability with screen session traces for every action
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