Blog
Insights on custom AI agents and enterprise automation.
The Best AI Meeting Assistants: Notes, Minutes and Action Items That Actually Get Done
An honest 2026 comparison of the real AI meeting-assistant landscape - Otter.ai, Fireflies.ai, Fathom, tl;dv, Fellow, Notion AI, and Microsoft Copilot in Teams - with actual capabilities and pricing. The durable win is not a better transcript but a Company Brain that keeps decisions and follow-ups alive across email, Teams, SharePoint, and CRM, with an AI employee that executes the last mile instead of letting action items die in a doc nobody reopens.
Henri Jung · 34 min read 
Time-to-Productivity: How a Company Brain Makes New Hires Productive in Days, Not Months
New hires take ~8 months to reach full productivity because the knowledge lives in people's heads and decays in wikis. How a Company Brain compresses time-to-productivity - answering how do we do this here on demand and letting AI employees take the routine ramp work - with 2026 data (49 vs 91 days to the 10th PR, 53% faster onboarding), a euro model, a 90-day playbook, and how it differs from a generic onboarding tool.
Henri Jung · 34 min read 
Why 400,000 Copilot Agents Still Do Not Know Your Company
Microsoft Copilot and Salesforce Agentforce ground on documents and org data but never learn how your company actually works. Why a Company Brain - a living memory built from your people-knowledge, processes, and daily corrections - beats 400,000 generic copilots, and how AI employees run routine work on top of it across email, Teams, SharePoint, CRM, and ERP.
Henri Jung · 32 min read 
The AI Employee for Outbound Sales Development: Researching, Sequencing, and Booking Before an SDR Logs In
An AI employee that owns the routine outbound sales-development work end to end - account and contact research, ICP fit scoring, personalised sequencing, reply triage, CRM hygiene, and meeting booking - grounded in a Company Brain and connected to your CRM, email, calendar, and data sources. Not a spam cannon: signal-first, deliverability- and DSGVO/UWG-aware, and distinct from a point AI-BDR tool because the ICP and messaging stay in the company and survive rep turnover.
Henri Jung · 33 min read 
The AI Employee in Accounts Payable: Coding and Routing Invoices Before They Reach the CFO
An AI employee that owns the routine accounts payable workflow end to end - invoice capture, GL and cost-centre coding, PO matching, and approval routing - grounded in the systems you already run and a Company Brain that learns your coding rules and approvers.
Henri Jung · 34 min read 
The Knowledge Half-Life: Why Your Wiki Is Already Out of Date and a Company Brain Never Is
Static wikis, SharePoint, and SOPs decay from the day they are written - they have a knowledge half-life, because nobody updates them and they never observe the work. Why a company knowledge base built on AI stays current: a Company Brain is a living memory fed by daily work and feedback that survives turnover instead of walking out the door.
Henri Jung · 33 min read 
Hiring Freeze, Not Layoffs: How to Grow Output While Headcount Stays Flat
A deliberate hiring-avoidance strategy for the Mittelstand, run department by department with AI employees: how to grow output while headcount stays flat, without mass layoffs. Covers the output-per-person maths, what to freeze and what to keep hiring, the Company Brain that makes the gains durable, the Klarna over-cut cautionary tale, DSGVO and the EU AI Act, and a 90-day playbook.
Henri Jung · 34 min read 
The AI Employee on the IT Service Desk: Closing Internal Tickets Before a Human Sees Them
How an AI employee closes routine internal IT tickets end to end - password resets, access requests, provisioning, and first-line triage - grounded in the Company Brain and connected to your ITSM, Teams, and identity provider. Covers the ticket-cost economics, why it works in 2026, security and DSGVO/EU AI Act guardrails, a 90-day playbook, and how it differs from a bundled ITSM chatbot.
Henri Jung · 34 min read 
Can You Trust Your AI Employee? Observability and Evaluation for Agents in Production
How companies watch, measure, and prove an AI agent's behaviour once it is live: the four layers of observability (traces, evaluation suites, drift alerts, audit trails), offline and online evals, LLM-as-a-judge, EU AI Act Article 12 record-keeping, a 90-day instrumentation playbook, and how the same instrumentation that earns trust also powers the Company Brain feedback loop.
Henri Jung · 36 min read