I want to arrive with the right list of points to check.
An AI chat gives a generic checklist, but does not connect the building, photos and client goals.
Bruno prepares the visit brief, technical questions and files to collect on site.
The visit produces usable data as soon as the team returns.
Bruno makes this useful by connecting daily interruptions to durable follow-up: message, task, follow-up, approval and memory.
Mobilized foundations- Connected tools: calendar, email, spreadsheets, Drive, lightweight CRM or team messaging feed the file without retyping.
- Action memory: each request keeps its customer, context, received documents, follow-ups and next step.
- Human control: Bruno prepares, sorts and follows up, while sensitive messages and committing actions stay approved.
- Field gain: the goal is not to produce a long report, but to move a real request forward without retyping.
Apply the "Access, measures, photos and contacts ready" use case in my company context.
- The priority deliverables are produced: Document list, Technical questions, Site report, Customer file.
- Assumptions, risks and required human approvals are explicit.
- The result is reusable by the team, as in the DualSun Conseil, field energy office example.
Info to clarify
- What is the exact context of your company, customer or project?
- Which documents, data or conversations can Bruno use as a starting point?
- Which deliverables do you want first, and which ones can wait?
- Who must approve the result before any external action is launched?
An energy audit must check boiler room, ventilation and cold zones. The client has not confirmed roof access or maintenance manager presence.
Bruno prepares measurement points, contacts to confirm and expected photos. The engineer leaves with a short brief and can follow up before traveling.
Created agents
- Technical file agent
- Site visit agent
- Documents agent
Delivered assets
- Document list
- Technical questions
- Site report
