AINumerate • Use Case

Manufacturing that holds the standard.

AINumerate turns work instructions into station-level guided execution with quality gates, safety checks, and traceable procedural proof — so outcomes stay consistent across shifts, lines, and staffing changes.

Station guidance + validations
Quality gates at the right step
Traceability + audit-ready logs
Station Workflow
Setup → Run → Inspect → Record
In spec
Step 2: Setup verification
Tooling + torque + fixture check
Step 5: First-article gate
Measure → compare → signoff
QA
Step 8: Out-of-tolerance
Branch to rework / hold / MRB
Scrap
Rework
Consistency

The plant runs on people — until knowledge walks out the door.

Manufacturing success depends on repeatability, but the hardest parts of the process are often “how we do it here”: setup nuance, inspection judgement, rework decisions, and safety steps that shouldn’t be skipped. When procedures live in binders, variability shows up as scrap, rework, and downtime.

Variation creeps in

Different shifts interpret the same work instruction differently — and defects follow.

Quality gates happen too late

Issues are found at end-of-line instead of the step where they start.

Tribal knowledge dominates

Operators learn by shadowing — and the “why” never becomes institutional.

What AINumerate changes

Work instructions become executable station flows

Instead of hoping the procedure is followed, AINumerate guides the operator through it — asking the right questions, enforcing the right checks, and recording the right proof.

Setup + changeovers

Enforce tooling checks, torque settings, fixture selection, and calibration steps before the run begins.

Quality gates at the step

First-article inspections, in-process measurements, and signoffs occur where defects originate — not downstream.

Exception handling

Out-of-tolerance branches guide rework, holds, MRB escalation, and disposition steps consistently.

Scenarios

Common manufacturing workflows AINumerate operationalizes

These are the places repeatability breaks: setup nuance, inspection interpretation, and exception decisions. AINumerate makes those decisions executable — and consistent.

Line setup & changeovers

Tooling selection, fixture verification, torque settings, calibration requirements, and readiness checks.

  • Setup validation before run start
  • Required signoffs captured
  • Prevent “almost correct” setups

First-article & in-process inspection

Measurement steps, tolerances, sampling rules, and signoffs embedded directly into the workflow.

  • Prompt the right measurement at the right time
  • Enforce sampling frequency
  • Capture results + proof

Nonconformance & out-of-tolerance handling

Branching paths for rework vs hold vs scrap, MRB escalation, and disposition steps.

  • Consistent decision trees
  • Immediate containment steps
  • Traceable escalation trail

Work instruction variants by part / revision

Operators follow the right procedure automatically based on job, part, revision, or batch context.

  • Reduce revision errors
  • Handle lot-specific steps
  • Keep the floor aligned to current standard
Outcomes

What improves first on the floor

↓ Scrap

Quality gates and setup validation reduce the defects that drive scrap early in the process.

↓ Rework

Exceptions follow consistent paths — less ad-hoc judgement and fewer repeat failures.

↑ Repeatability

Shift-to-shift variability drops because the workflow enforces the standard.

Works with your MES/ERP — operationalizes the “how”

AINumerate doesn’t replace your manufacturing systems. It turns the procedural layer — work instructions, quality plans, and exception rules — into guided execution so operators can do the right thing, every time.

Inputs

Work instructions, quality plans, inspection sheets, safety SOPs, MRB policies, revision rules.

Outputs

Guided station flows, signoffs, measurement logs, nonconformance records, procedural proof exports.

Systems

Runs alongside MES/ERP/QMS — improves consistency without ripping anything out.

Bring one production workflow with real edge cases.

We’ll map it into guided station execution with setup validation, quality gates, and exception handling — then capture audit-ready proof for compliance and continuous improvement.