Monthly thinking room
When business units build their own solutions and agents run in production, who takes care of review, rules and direction? This edition shows which layers, levels and roles companies use to safeguard self-built solutions and which signals leaders should know now.
For working with your own AI assistant. How it works
We handpicked 60 podcast episodes released in June 2026 and distilled 180 insights from them. These ten patterns show how companies put AI applications they have developed themselves into operation. Clear responsibilities, reliable checks and close collaboration between business teams and technology teams help make this possible.
Parloa uses a deterministic policy engine to check before every tool call whether the upstream tools have run, so that the confirmation text message is sent only after the reservation has been made.
Upvest binds internal coding and knowledge agents to the identity and permissions of the respective user through impersonation, and at Seibert Media each specialist agent has only the credentials it needs.
tk accelis only scaled Smart Order once it had a deterministic search that filters out nonsensical material combinations; ABN AMRO uses tested input and output filters against prompt injection in its voicebots.
Status: unchanged
Supported by these conversations
Parloa invests in the harness around the model rather than in its own fine-tuning and points to a meta-study according to which a different harness with the same model can deliver six times better agent performance.
mobile.de indexes its entire codebase in a vector database, makes it available via MCP as context for Claude Code, and has rolled out its own skills repository to all 300 engineers.
Stefan Kemp (adesso) considers the model interchangeable when the harness controls tools, context and the agent loop; Jörn Ossowski (tk accelis) sees the agents' memory, context and tool access as the reason AI coding holds up.
Status: unchanged
Supported by these conversations
FINN has increased the number of employees who build internal tools from around 60 to more than 250; platform engineers safeguard this with templates, guardrails, CI/CD checks and security scans.
At the Constellation group, 25 non-programmers built prototypes with Claude Code in a day and a half, and IT reviews each one from a GDPR perspective before it may go into production.
At Kantar, every decentrally built agent used by several people goes through a review of IP, governance and quality in the Agent Factory before it is rolled out across the company.
Status: unchanged
Supported by these conversations
With a subscription
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The complete collection
60 conversations, ordered from newest to oldest.
Orchestrating transformation
Miro shows that AI transformation can be driven from the people function: non-technical roles build their own workflows, and a tiered model ties AI proficiency firmly to role and seniority level. An appeal becomes a binding framework of expectations.
With a subscription
With a subscription you open all 60 conversations of this room with their insights, search the catalogue and download the files.
1 conversation added · none removed · 1 revised
9 unchanged · 1 with counter-evidence
With a subscription you see which conversations, findings and recommendations changed.
Compared with V2 · 14 Sept 2026.
