# Case study — Consulting

For a consulting team, we built a system that turns day-to-day work into reusable knowledge. Proposals went from 4 hours to 40 minutes, and handoffs from one week to a one-hour meeting. Without depending on someone who is on vacation, has changed teams, or has already left.

6x Faster to prepare a proposal — from 4h to 40 min · 1h To take over a project already in progress — instead of 1 week of onboarding · 18K Records indexed and searchable in the right context · 2700 Meetings transcribed and incorporated into the knowledge base

In a technology consultancy, much of what makes a project move quickly does not live in the code or formal scope. It lives in context: how much a similar project cost, why a technical decision was made, what the client asked for in a meeting, and what changed during delivery. The change was to make the work itself feed a shared company memory.

## Shipped

- Shared knowledge base: Projects, proposals, documents, meetings and decisions become part of the same operational memory, with enough context to be found and reused later.
- Automatic work capture: Meetings, conversations and existing records feed the knowledge base automatically. Knowledge grows as a by-product of the work, not as an additional documentation task.
- Living project documentation: Context and decisions are recorded throughout delivery. Someone joining later can understand not only what was decided, but why.
- AI inside the workflow: Assistants use accumulated knowledge to retrieve similar projects, summarize meetings, turn conversations into next steps and keep records up to date.
- Boundary between company knowledge and private information: Not everything a person knows should become shared knowledge. The system defines what can be incorporated into the knowledge base and what remains restricted.
- Controlled access to knowledge: AI does not receive unrestricted access to the operation. People and assistants can only query information permitted for that specific context, with dedicated rules for sensitive data.

Related offering: [AI in the Operation](https://bleu.builders/offerings/ai-transformation/)

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