According to a recent LinkedIn post from Smartcat, the company’s CPO Falk Gottlob is emphasizing “orchestration” as the key value of AI in multilingual technical documentation for manufacturers. The post references an interview with Design World, highlighting how integrating review, quality control, approvals, formatting, and release timing into one AI-enabled workflow may address bottlenecks in updating manuals and SOPs across languages.
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The post suggests that Smartcat’s platform aims to consolidate AI agents, workflow automation, and human expert review, moving customers from fragmented vendor-based processes to more synchronized global release cycles. For investors, this focus indicates a push to deepen penetration in manufacturing and industrial documentation, positioning Smartcat as an infrastructure-style workflow provider rather than a pure translation tool, which could support higher switching costs and more resilient recurring revenue if adoption scales.
The emphasis on coordinated global releases also points to potential value in complex, regulated environments where localization delays can impact time-to-market. If Smartcat can demonstrate measurable reductions in cycle times and errors for multinational manufacturers, it may strengthen its competitive stance in localization and workflow automation, while aligning with broader enterprise demand for AI-driven operational efficiency.