Workflow Automation That Transforms Manufacturing

A strong example is Myto’s agentic workflow automation: AI agents detect an operational issue, surface the right SOP and machine history, open or update a maintenance ticket, document troubleshooting steps, and prepare shift-handover notes. Operators can keep working on the factory floor while the system handles follow-up, documentation, and coordination across MES, CMMS, SCADA, ERP, and other plant systems.

Manufacturing workflow automation uses software, connected operational data, and AI agents to streamline repetitive or knowledge-heavy tasks across the plant. Instead of relying on clipboards, disconnected systems, or one experienced operator, teams can automate troubleshooting guidance, maintenance follow-ups, SOP creation, shift handoffs, documentation, and frontline knowledge retrieval in the normal flow of work.

Myto is built to sit on top of existing MES, CMMS, SCADA, EAM, ERP, ticketing, and quality-management systems rather than replacing them. Its operational data integration layer connects SOPs, logs, work orders, machine history, tickets, and captured operator knowledge into a structured manufacturing knowledge base that powers AI agents and frontline tools.

The platform is designed for fast SaaS deployment with minimal IT lift and no heavy infrastructure requirement. Setup typically begins by ingesting existing operational data, mapping equipment and workflows, and configuring the AI agents and AI glasses experience around frontline use cases such as troubleshooting, handovers, SOP generation, or downtime reduction.

Myto uses wearable AI glasses to record physical-world expertise as operators work normally. The platform structures footage, audio, machine context, and operational data into reusable SOPs, troubleshooting flows, training materials, and shift documentation. This helps preserve senior-operator knowledge before retirement without adding paperwork, portals, or extra documentation steps to frontline work.

Myto is designed for operators, maintenance technicians, quality inspectors, shift leads, supervisors, plant managers, operations directors, reliability leaders, L&D teams, and manufacturing IT. It is especially useful for plants facing unplanned downtime, senior-operator retirements, inconsistent shift handoffs, outdated SOPs, disconnected plant systems, or slow troubleshooting during equipment issues.

Pricing is structured as an enterprise SaaS subscription and varies by plant count, agent volume, and AI glasses headcount. Myto recommends a 30-minute discovery call to understand the number of facilities, systems to integrate, target workflows, and deployment scope before providing a quote aligned to the manufacturer’s operational environment.

Myto reduces downtime by shortening the time it takes to diagnose issues, retrieve relevant machine history, follow proven troubleshooting steps, and preserve expert knowledge for repeat problems. AI agents can surface SOPs, likely root causes, prior failure modes, and next actions while also documenting what happened for future maintenance, training, and continuous improvement.