I designed and deployed a full AI-driven Operating System for an innovation-focused agency managing complex, multi-country projects (executive programs, expert coordination, Learning Expeditions, etc.).
The system was built around three main pillars:
1) Knowledge OS – Capture → Store → Retrieve
Integrated automated meeting capture (Fireflies or equivalent).
Built a complete Notion knowledge hub (meetings, experts, clients, projects).
Automated AI-generated summaries with thematic tagging.
Implemented a RAG-based semantic search system to query internal history, e.g.:
“What recurring logistical issues did we face in our recent Japan programs?”
Delivered documentation, SOPs, and team training.
2) Scouting Agent – Automated Research & Enrichment
Built an end-to-end scouting workflow using Browserbase Director / alternatives.
Automatic enrichment of startups/experts using APIs (Clay / LinkedIn / Crunchbase).
Structured Airtable CRM for experts, companies, and contacts.
Automatic generation of AI briefings for the team.
Added quality scoring, monitoring, and error-handling systems.
3) Augmented Project Management (PM) System
Evaluated multiple PM tools: ClickUp, Wrike, Asana, Miro.
Created complete LEX project templates (phases, dependencies, milestones).
Implemented AI automations: alerts, risk scoring, reminders, weekly reports.
Synced Notion ↔ PM tool ↔ Airtable ↔ Make for seamless operations.
Connected Miro workshops to task creation and backlog generation.
Result:
A fully operational internal OS where knowledge is centralized, scouting is automated, and project management becomes proactive instead of manual.