Threaded Miami: Mayank Makwana of Reeva!

What if the biggest bottleneck in manufacturing is not engineering itself, but all the manual work that happens after the design is done and before the business can actually move?In this Day 1 Threaded Miami session, Mayank Makwana of Reeva makes that case directly. He argues that speed is the only sustainable advantage in manufacturing, but most large companies are still slowed down by the invisible layer of manual reconciliation work sitting between PLM, ERP, CRM, Git, Jira, PIM, spreadsheets, PDFs, emails, and tribal knowledge. The systems may be technically integrated, but the real process still depends on humans chasing updates, interpreting edge cases, and carrying business logic in their heads. Mayank’s point is that this hidden layer is where launches slip, costs rise, and quality breaks. A change may be approved in PLM, but weeks later the part still has not launched because somebody still has to update a spreadsheet, resolve a field mismatch, or translate engineering intent into something another system can act on. He gives examples that will sound painfully familiar to anyone in discrete manufacturing: part data that only partially maps between systems, firmware changes that trigger manual back-and-forth, and longtime employees whose undocumented judgment quietly keeps operations running until they leave. Reeva’s pitch is to replace that layer with AI agents. Instead of ripping out core systems, the platform sits between them, reads technical documents and structured data, understands what changed, identifies what downstream systems and workflows are affected, and drafts or executes the required updates. The model is designed to be reviewable, governed, and adaptive, with the system learning from exceptions over time rather than relying on brittle static scripts. That makes this a useful talk because it goes after a very real category of operational drag. A lot of industrial AI still gets framed around copilots or analytics. Reeva is going after the repetitive coordination work that actually slows launches: the emails, the spreadsheets, the undocumented rules, the schema mismatches, and the “Sarah has been here 22 years and knows how this plant works” problem. This is a conversation about turning manufacturing workflows from fragile human glue into structured, executable, reviewable automation. If you care about PLM, ERP, engineering change, product launches, or AI agents that do more than summarize documents, this episode is worth hearing.#ThreadedMiami #Reeva #ManufacturingAI #PLM #ERP #EngineeringChange #DiscreteManufacturing #AIAgents #DigitalThread #WorkflowAutomation #AI #AIAcrossTheProductLifecycle