I want to prepare the steering point without forgetting the sensitive topic.
An AI chat writes an agenda, but does not know which risks, numbers and promises changed since last time.
Bruno compares the last steering meeting, open actions and new signals to prepare a decision file.
The steering meeting is used to settle pending decisions.
Bruno makes this useful by connecting daily interruptions to durable follow-up: message, task, follow-up, approval and memory.
Building blocks used- 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: Bruno moves a real request forward, without retyping or long reports.
Apply the "Arrive with decisions, risks and documents ready" use case in my company context.
- The priority deliverables are produced: Client synthesis, Action plan, Prepared follow-ups, Method base.
- Assumptions, risks and required human approvals are explicit.
- The result is reusable by the team, as in the Nord Performance, operations improvement consultancy 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?
Concrete example
Concrete exampleBefore the monthly steering meeting, the client sent a new margin file, one manager blocks an action and the workshop schedule slipped by two weeks.
Bruno prepares changes since last meeting, decisions to make and follow-ups. The consultant opens the meeting straight on the decisions.
Created agents
- Mission agent
- Minutes agent
- Follow-up agent
Delivered assets
- Client synthesis
- Action plan
- Prepared follow-ups
