Go Paperless with Manufacturing Workflow Automation

A paperless manufacturing factory replaces physical binders, clipboards, handwritten shift notes, printed SOPs, and manual forms with connected digital workflows. In Myto’s approach, AI glasses capture work as it happens, operational systems feed a shared knowledge layer, and AI agents generate documentation, surface SOPs, coordinate handoffs, and follow up on work without slowing operators down.

A manufacturing workflow is the sequence of actions, information, approvals, and handoffs required to keep production running. It may include operator checks, machine troubleshooting, maintenance tickets, quality documentation, SOP execution, and shift handovers. Myto automates these workflows by connecting frontline activity, machine history, tickets, and SOPs into AI-powered actions and documentation.

Myto reduces paper-based processes by capturing frontline work through wearable AI glasses, ingesting existing plant data, and automatically converting activity into SOPs, troubleshooting flows, shift-handover notes, and AI agent tasks. Operators do not need to stop working to fill out forms, open portals, or rewrite what happened after the fact.

Myto works alongside your existing MES, CMMS, SCADA, EAM, ERP, and quality-management systems rather than replacing them. Its operational data integration layer reads SOPs, logs, tickets, machine history, and work orders through a manufacturing lens, then connects that information to the workflows and AI agents that support frontline teams.

Setup is designed for minimal IT lift and no heavy infrastructure. Myto is delivered as enterprise SaaS, with deployment scoped around plant count, agent volume, and AI glasses headcount. The platform is built for frontline teams from day one, so operators can continue working normally while knowledge capture and workflow automation begin.

Yes. Myto’s hands-free knowledge capture records the troubleshooting steps, expert maneuvers, workarounds, and shift context that often live only in experienced operators’ heads. That captured knowledge is structured into SOPs, diagnostics flows, training content, and agent-ready intelligence so plants retain expertise before retirements or turnover create gaps.

Myto uses your plant’s operational data rather than generic public-internet knowledge. Agents can be trained on SOPs, machine history, maintenance tickets, shift notes, and captured operator expertise. This allows them to open tickets, draft handovers, schedule follow-ups, surface context, and document troubleshooting paths based on how your factory actually runs.

Pricing is based on an enterprise SaaS subscription and varies by plant count, agent volume, and AI glasses headcount. Myto recommends a 30-minute discovery call to understand your current workflows, documentation gaps, system environment, and deployment goals before preparing a quote that matches your operational footprint.