I want to follow up the right customers with a useful, short and approvable message.
An AI chat writes an SMS, but it does not choose the right list, remove sensitive cases or keep approval proof.
Bruno prepares the segment, exclusions, message and calendar, then keeps a version to approve before sending.
Follow-up becomes useful and controlled, with fewer awkward messages.
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 "Follow up cleanly without harassing" use case in my company context.
- The priority deliverables are produced: Customer list, SMS message, Exclusions, Send calendar.
- Assumptions, risks and required human approvals are explicit.
- The result is reusable by the team, as in the Garage Pasteur, a neighborhood auto workshop 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?
The garage wants to remind customers whose annual maintenance is coming. The list exists, but also contains recent customers, disputed files and vehicles already sold.
Bruno prepares the segment, removes sensitive cases and proposes a short SMS to approve. The owner knows who will receive what before sending.
Created agents
- Segmentation agent
- SMS agent
- Approval agent
Delivered assets
- Cleaned list
- SMS to approve
- Exclusions
