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🚀 Industrial AI is entering a new phase. The first question was: can we see what is happening? Then: can we understand it faster? Now the question is different: Can software take responsibility for the work that follows? That is the shift behind our new whitepaper, The Last-Mile Problem in Industrial AI. It explores why the future of industrial AI will not be defined by better alerts alone, but by systems that can execute operational workflows with traceability, accountability, and control. 👉 Download the whitepaper → https://lnkd.in/eF5iPX_z #IndustrialAI #AgenticAI #Operations #Energy #Automation

Industrial AI can flag the issue. But then what? - A non-conformance is detected. - A supplier needs follow-up. - Documents are missing. - A project issue needs coordination. Workflows drop back into manual mode: emails, approvals, tracking, escalation, follow-ups. That’s the execution gap. Industrial companies don’t need more systems that only surface problems. They need software that carries work from trigger to resolution, with 𝘦𝘷𝘦𝘳𝘺 𝘴𝘵𝘦𝘱 𝘵𝘳𝘢𝘤𝘦𝘢𝘣𝘭𝘦 𝘢𝘯𝘥 𝘢𝘶𝘥𝘪𝘵𝘢𝘣𝘭𝘦. Not another assistant. 👉 Operational execution. That’s what we’re building at Sindri. 🚀 Get in touch for a walkthrough: https://lnkd.in/e_HNjHmw #ExecutionAI

The next generation of industrial software will not be built by AI expertise alone. Execution AI has to understand how industrial work actually moves. It needs three things at once: ✔️ Deep industrial context. ✔️ Enterprise software discipline. ✔️ A clear understanding of how operational work actually gets done. 👉 That is the combination behind Sindri. Our founding team, P. Michael A. Rodey, Jackson Giles, and Sean McCormick, brings experience across energy, industrial execution, enterprise software, and cyber-physical systems, shaped through work with aramco, QatarEnergy, A.P. Moller - Maersk, Cognite, Equinor, ConocoPhillips, McDermott International, Ltd, and Pacific Energy. That mix matters because Agentic Execution AI is not just about generating outputs. ⚙️ It is about understanding the workflow, the handoffs, the audit trail, the dependencies, and the consequences of getting it wrong. Meet the team: https://lnkd.in/ergf4nP8 #IndustrialAI #Energy #Operations #EnterpriseSoftware

You've digitized the data. Now automate the workflow. 👉 Sindri starts with a real operational problem. A deterministic execution path. A working system in production.

Engineering teams are still manually validating filenames, metadata, and transmittal packages. 👉 Doc-Pro extracts, structures, validates, and routes submissions automatically. ✔ Reviewers get cleaner packages, faster, with less manual coordination.

Document control breaks at scale. More projects = more intake, more coordination, more delay. 👉 Sindri turns intake into execution — across your entire portfolio.