{"ref":"content:teched-2026-bt106","page":"/content/teched-2026-bt106","json":"/content/teched-2026-bt106.json","generated":"2026-10-26","drafted_with_ai":true,"entity":{"id":"teched-2026-bt106","title":"From confident to correct: AI search results you can actually trust","url":"https://www.sap.com/events/teched/berlin/flow/sap/te26/catalog/page/catalog/session/1786712181604001nh2X","content_type":"talk","published_on":"source:sap-teched","explains":["artifact:sap-leanix-mcp-server"],"summary":"How SAP LeanIX designs its AI search agents so that a result does not need checking in the UI: agents that adapt to each customer's own workspace model, with ambiguous queries and silent errors at scale as the two problems the talk takes on. The atlas holds no entry for SAP LeanIX itself; the [SAP LeanIX MCP Server](artifact:sap-leanix-mcp-server) is the nearest entry, and the abstract names neither it nor any mechanism behind the agents, so the edge rests on the product name alone. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Aviral Vaid and Sai Krishna Subramanian, written here from SAP's abstract; the recording is not yet published.","short":"Designing AI search agents in SAP LeanIX","offers":["concepts"],"sources":[{"url":"https://developers.sap.com/build/teched","title":"SAP TechEd 2026 session catalogue feed","checked":"2026-10-11"}],"drafted_with_ai":true,"provenance":{"discovered_via":[{"source":"source:sap-teched","channel":"build/teched"}],"first_seen":"2026-10-11"}},"readings":{"liveness":[{"label":"Checked against the source","tier":"unknown","evidence":"nobody has checked it"},{"label":"Source reachable","tier":"unknown","evidence":"not crawled"},{"label":"Age","tier":"unknown","evidence":"no publication date"}],"compatibility":[{"label":"Version","tier":"unknown","evidence":"no version declared"},{"label":"Moved since?","tier":"unknown","evidence":"no publication date to compare"},{"label":"Findings","tier":"good","evidence":"none flagged"}],"reach":[{"value":null,"unit":"views"},{"value":null,"unit":"comments"},{"value":null,"unit":"likes"}]},"signals":null,"series":null,"edges":{"authors":[]}}