The problem
Trust is the barrier to agentic AI, and unchecked agents can make costly errors.
The opportunity: Human-in-the-loop controls for AI agents
Who it helps
- Firms deploying AI agents in customer or finance workflows
What the research says
Capgemini Research Institute
Rise of agentic AI: How trust is the key to human-AI collaboration (2025)
This opportunity follows directly from the theme of the report.
Search for the report(opens in a new tab)We have not yet verified a direct link to this report, so this opens a web search for its title.
The solution
Approval gates, logging and escalation rules for any AI agent deployment.
How it is implemented
- 01List agent actions
- 02Classify risk
- 03Add approval steps
- 04Log decisions
- 05Review errors monthly
What it needs
- Agent platform with logging
- Policy
- Reviewer time
Want this implemented in your business?
No self-serve tool yet. We can scope and build it for your business on request.
Source details are being verified; please check the original publication.
All summaries are written by Trovecrest in our own words. Nothing is copied from the reports, and no figures are reproduced.
Trovecrest is independent and not affiliated with or endorsed by the firms whose research is referenced.
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