Task Intelligence for manufacturing operations
Three canonical manufacturing ops patterns, redesigned at the task level. Production planning, quality inspection, maintenance scheduling. Hours freed per engineer and planner, throughput 2 to 3x, same MES, same ERP, same shop-floor discipline. Plus live AI redesign of four manufacturing workflows.
Three roles in manufacturing ops, redesigned at the task level
Every manufacturing desk has the same task shape: read sensor or system data, cross-reference work orders and BOMs, draft a plan or judgment call, human reviews. Each role below keeps doing the work — AI takes the load on the routine tasks. Hours freed, throughput up, same shop-floor envelope.
Production planning
AI reads the demand signal, capacity availability, BOM and component lead times, prior cycle deviations. Drafts the MRP-aligned schedule with allocation and constraints surfaced. Planner reviews the trade-offs and overrides.
Quality inspection
AI reads the inspection record, cross-references prior CAPAs, pulls related lot/batch history, drafts the root-cause hypothesis. Engineer reviews the flagged cases and owns the decision on disposition.
Maintenance scheduling
AI reads sensor telemetry, prior failure modes, parts availability, technician skill mix. Drafts the predictive maintenance schedule with prioritized work orders. Planner reviews the constraints and approves.
Four workflows in manufacturing, redesigned live
The roles above run inside workflows. Pick one. The redesign engine produces a before/after view in 30 seconds — tasks that collapse when agents take over, sequential steps that go parallel, net-new agent guardrails the original workflow never had.
Plan-to-Produce
The core manufacturing workflow: demand to schedule to shop-floor execution. See how the redesign engine collapses planning steps and surfaces where agent-led scheduling replaces sequential human handoffs.
Quality Management
Inspection, deviation, CAPA, audit. The redesign shows where agents own the routine inspection and reporting, and where quality engineers own the judgment calls.
Maintenance (Preventive/Predictive)
Maintenance is the classic place where agent-native ops beats reactive ops. Watch the workflow restructure from a fixed schedule into agent-led predictive triggers.
Source-to-Pay
Supplier qualification, PO release, three-way match, payment. The redesign shows how agents collapse vendor onboarding + invoice validation into a single approval-gated flow.
Where AI cowork lands first on the shop floor
512 manufacturing tasks where the AI takes the load and the human stays on the decision. Pulled live from our task taxonomy. The top 5 are below. 734 more are ready for full automation, expand the list to see them.
734 manufacturing tasks ready for full automation›
How we work with manufacturers
Co-sponsored model. Plant leader, COO, or VP Operations plus your transformation office in the room. Sprint proves the redesign in 90 days inside one plant or one function. Transformation Engagement scales across plants and across the operating model — same MES, same ERP, same safety envelope.
Want a manufacturer-specific walkthrough?
20 minutes. We pull your top three task patterns from the dataset and show you the redesign live, with your role mix and your shop-floor frame.
Book a time