I want to know which bikes can move forward today and whom to follow up before closing.
An AI chat can write a customer reply, but it does not track bike, diagnosis, ordered part, quote and promised date.
Bruno maintains repair cards, flags blocking parts and prepares quote or pickup callbacks.
The workshop ends the day with a clear queue: to repair, waiting for parts, to approve, ready for pickup.
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 "Track repairs, parts and customer callbacks" use case in my company context.
- The priority deliverables are produced: Repair queue, Missing parts, Quote messages, Pickup reminders.
- Assumptions, risks and required human approvals are explicit.
- The result is reusable by the team, as in the Atelier Roue Libre, a neighborhood bike repair shop 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?
On Saturday, bikes pile up: one brake bleed, one hard-to-find cargo tire, one quote to approve and a customer who wants pickup before 6pm. Paper cards exist, but follow-ups go out too late.
Bruno classifies bikes by status, spots blocking parts and prepares quote or pickup reminders. The counter knows what to tell customers without interrupting the mechanic every five minutes.
Created agents
- Bike workshop agent
- Parts agent
- Customer follow-up agent
Delivered assets
- Repair queue
- Blocking parts
- Customer messages