Check your PLAUD AI Plan for the use of Custom Summary Templates.
As at 1st March 2025 the free plan doesn't support custom templates.
HOPCoPilot™ Agents for PLAUD.AI devices
The HOPCoPilot™ Agents for PLAUD AI are designed to support operational learning and insights from field-based conversations.
We build Agents that are free for non-commercial use and are published in the PLAUD.AI template community (see below) and custom Agents for specific organizational needs.
Instead of asking “What went wrong?”, HOPCoPilot™ Learning From Work helps teams ask:
“How does work usually go right here, what makes it harder than it looks, and what can we learn from that?”
HOPCoPilot™ analyzes transcripts and observations without assumptions, blame, or recommendations, separating facts from interpretation and preserving worker voice. The output creates a shared, psychologically safe way to talk about waste, risk, and capacity using real work as the reference point.
HOPCoPilot™ Learning From Work Agent for the 4Ds and the 4Ls
HOPCoPilot™ Learning From Work Agent turns everyday work into reliable organisational learning. It helps organisations understand Work As Done, how people adapt to get the job done, and how system conditions support or hinder success.
- Separating facts from interpretation
- Identifying system constraints and conditions, not individual failings
- Highlighting patterns of adaptation, risk, and resilience
- Framing insights as learning opportunities
HOPCoPilot™ Gemba Walk Agent using the 4Ds™ to identify waste in operations
- Defects as reliance on vigilance and rework
- Overproduction as protection against uncertainty and blame
- Waiting as a hidden cognitive load, not idle time
- Non-utilised talent as lost learning from those closest to the work
- Transportation as risk is introduced through handoffs and movement
- Inventory as buffers that hide instability and overload people
- Motion as normalized fatigue built into task and workspace design
- Extra processing as layers added over time when trust in the system is low
Instead of asking “Why did people do that?”, HOPCoPilot™ helps organisations ask: “What problem is the system asking people to solve and what can we learn from that?”
HOPCoPilot™ analyzes transcripts and observations without assumptions, blame, or recommendations, separating facts from interpretation and preserving worker voice. The output creates a shared, psychologically safe way to talk about waste, risk, and capacity using real work as the reference point.
Critical Control and Critical Step Verification Insights
Providing insights on the actual controls and steps that workers use and take to create safety in high risk work.
Manual Handling Insights of Everyday Work
Providing insights on the manual handling risks that workers are exposed to in everyday work and whether controls help or hinder work.
Learning
From Near Miss and Minor Events Insights
Insights from workers about whether the work "Failed Safe" or "Failed Lucky" on the day of the event.
Leadership Engagement Insights and Value Engagements
Providing insights from leadership engagements on which style and which questions generated the most valuable insights.
Ethical use of HOPCoPilot™ Agents
Ethical use of AI technology is important. Our agents have been instructed to not identify any individuals in the summary and ouput documents. The agent will also look for any harmful communication that was captured during the discussion and will redact that from the output.
Non-Commercial Use of HOPCoPilot™ Agents
- You cannot use it as part of a paid service or consulting work.
- You cannot use it in a product, course, or report that you sell.
- You cannot use it to promote or market a business, even if the item itself is free.
- You cannot receive direct or indirect financial benefits from using it (e.g., through sponsorships, ads, or client work).
