Workflow Map
We document the roles, handoffs, approvals, exceptions, and reports before choosing the build path.
Plan thisIndustry
Manufacturing systems.
Shop-floor data, ERP-MES bridges, production scheduling that reflects what is actually happening.
AorBorC starts with the operating model, then chooses the right mix of Creator, Zia AI, ERP, portals, integrations, and dashboards.
Manufacturing
Zoho Creator, Zia AI, ERP, automation, portals, integrations, and reporting shaped around this operating context.
Operating Lens
Each build starts with the workflow, not the software label.
Related Work
A few matching projects, with sensitive details protected where needed.
SteelCraft Industries
AI Predictive Maintenance Platform
A mid-sized discrete-manufacturing operator was tired of the same pattern: a high-value machine would stop on a Friday afternoon, the team would scramble for parts and a technician, and three shifts of output would evaporate. Their CMMS had ten years of work-order history sitting unread, and the OEM portals gave alerts that were either too noisy to be useful or too late to be actionable. We deployed IoT vibration and current-draw sensors on the critical machines, streamed the telemetry through Apache Kafka, trained a deep-learning failure-prediction model on the merged sensor + historical maintenance corpus in AWS SageMaker, and built a maintenance-planning UI in React that puts the next 14 days of expected failures, parts required, and recommended technicians in one screen. Engineering signs off on each AI-flagged work order before it is dispatched, so the system is augmenting the team, not replacing them.
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