DataSentics, a Bull company

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𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 𝗔𝗜 𝗰𝗼𝘀𝘁𝘀 𝗮𝗿𝗲 𝗿𝗮𝗿𝗲 once you move from "AI helps an employee" to "AI runs the process." ⠀ A 𝗰𝗹𝗶𝗲𝗻𝘁 𝗰𝗮𝗹𝗹𝗲𝗱 𝗺𝗲 few months ago with a question that made me smile: 𝗰𝗼𝘂𝗹𝗱 𝗵𝗶𝘀 𝗱𝗲𝘃 𝘁𝗲𝗮𝗺 really have 𝗯𝘂𝗿𝗻𝗲𝗱 €𝟱,𝟬𝟬𝟬 𝗶𝗻 𝗼𝗻𝗲 𝗱𝗮𝘆 𝗼𝗻 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲? ⠀ Yes, of course... But what is interesting that was just a few developers testing an app for a day, not production data, audio, or complex documents at scale. ⠀ Give employees Copilot or Claude, and costs stay capped, per seats, limits... ⠀ But the 𝗿𝗲𝗮𝗹 𝘃𝗮𝗹𝘂𝗲 is one step further: 𝗺𝗮𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗶𝘁𝘀𝗲𝗹𝗳 𝗔𝗜-𝗳𝗶𝗿𝘀𝘁. Agents execute, humans supervise and approve. And exactly there, the ceiling disappears. An AI-first process has 𝗻𝗼 𝗻𝗮𝘁𝘂𝗿𝗮𝗹 𝗹𝗶𝗺𝗶𝘁, the 𝗮𝗴𝗲𝗻𝘁 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝘀 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗻𝗲𝗲𝗱𝘀, and you can't cap that without stopping the process. ⠀ 𝗪𝗲 𝘀𝗲𝗲 𝘁𝗵𝗶𝘀 at scale 𝘄𝗶𝘁𝗵 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 enterprises running AI quality control across millions of contact-center calls, with several agents working each call in parallel. At that volume, 𝘂𝗻𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 𝘁𝗼𝗸𝗲𝗻 𝗽𝗿𝗶𝗰𝗶𝗻𝗴 isn't a rounding error, it's 𝗮 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗿𝗶𝘀𝗸 𝗻𝗼𝗯𝗼𝗱𝘆 𝗰𝗮𝗻 𝘀𝗶𝗴𝗻 𝗼𝗳𝗳 𝗼𝗻. ⠀ 𝗢𝘂𝗿 𝗮𝗻𝘀𝘄𝗲𝗿: 𝗮 𝘀𝗼𝘃𝗲𝗿𝗲𝗶𝗴𝗻 𝘀𝘁𝗮𝗰𝗸, open-weight models on dedicated GPUs, priced as 𝗮 𝗳𝗹𝗮𝘁 𝗳𝗲𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘆𝗲𝗮𝗿. The customer plans a budget instead of guessing at one. ⠀ €5,000 in a day is a funny story about one dev team. At millions of calls, it stops being funny. ⠀ 𝗛𝗮𝘀 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 already 𝗵𝗮𝗱 its own "𝘄𝗮𝗶𝘁, 𝘁𝗵𝗮𝘁 𝗰𝗼𝘀𝘁 𝗵𝗼𝘄 𝗺𝘂𝗰𝗵?" 𝗺𝗼𝗺𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗔𝗜? ⠀ I'm 𝗗𝗮𝘃𝗶𝗱 𝗩𝗼𝗽𝗲𝗹𝗸𝗮. 15+ years in Data and AI for banking and insurance. I co-founded DataSentics, now part of Bull, backed by the French State through APE. 𝗜 𝗹𝗲𝗮𝗱 Bull's 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗜 𝗰𝗹𝘂𝘀𝘁𝗲𝗿, where 𝘄𝗲 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗼𝗻 𝗳𝗶𝘅𝗲𝗱, 𝘁𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 𝗽𝗿𝗶𝗰𝗶𝗻𝗴. ⠀ 𝗖𝘂𝗿𝗶𝗼𝘂𝘀 𝗵𝗼𝘄 𝘁𝗵𝗶𝘀 𝘄𝗼𝗿𝗸𝘀 𝗮𝘁 enterprise 𝘀𝗰𝗮𝗹𝗲? → See for example https://lnkd.in/dPz7vBRe or https://claimsense.app ⠀ #AICosts #SovereignAI #AIInfrastructure #AItokens

Customer decisions deserve more than a handful of conversations. AI Comms Inspector reads all of them. >> https://lnkd.in/dtsDfNz8

In this demo: one real call, three detected signals, confidence scores and what lands in the CRM.