Findable invites you to their event
About this event
OpenClaw has taken the world by storm — 224,000 GitHub stars, Mac Mini shortages, and security headlines from Kaspersky to Wired. Everyone’s talking about it. But almost nobody is showing how to use it safely at work.
In this session, Head of Engineering Johannes Berggren shares how Findable went from experimenting on a laptop to running a fleet of AI agents in production — and gives you a practical framework for doing the same.
What is OpenClaw, and why does it matter?
A quick primer on the open-source AI agent that’s redefining how teams work — from chatbot to digital operator.
Real use cases running in production
See what Findable actually uses OpenClaw for: autonomous bug resolution, automated PR reviews, HubSpot triage, and a multi-agent pipeline where bots hand off work to each other — with humans approving only the final step.
The security conversation — honestly
We’ll address the Kaspersky, Wired, and Microsoft headlines head-on. What are the real risks? Why do they exist? And why most of them come from misconfiguration, not the tool itself.
From Playground to Production
Playground — personal laptop, great for learning
Dedicated — clean-installed machine for team pilots
Production — Docker containers with fleet management, isolation, and centralized control
We’ll show the actual architecture: container isolation, reverse proxy, scoped API access — the same patterns your IT team already uses for microservices.
The Trust Ladder
Read — observe only
Summarize — digest and report
Draft — prepare actions for review
Act + Approval — execute with human sign-off
Autonomous — full delegation
Most professional setups live at levels 3-4. This is what you take back to your IT department.
Live Demo
Watch a production OpenClaw setup in action — with safety controls enabled and the Trust Ladder applied.
CTOs and engineering leaders evaluating AI agents for their teams
Developers who’ve tried OpenClaw and want to go from hobby to production
IT and security professionals who need to understand the risk model
Anyone curious about using AI agents safely in a professional setting
People who want to know what to tell their IT department
No deep technical background required — we’ll cover both the strategic and practical angles.
Johannes “JB” Berggren is Head of Engineering at Findable, where he leads a team building AI-powered building document management for 150+ property owners across Europe. He co-founded Learnlink (edtech), invests in early-stage tech companies through CTO Roundtable Invest, and DJs at Futoria in Oslo.
Findable turns building documents into living intelligence. Real estate teams spend too long searching for answers, but our AI extracts key data, checks compliance and streamlines workflows. We help buildings answer questions so teams can focus on real strategic work.
