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Results

Results from production deployments

Customer-reported results from production deployments. Metrics depend on site scope and the workflows implemented (e.g., spec enforcement, electronic records, reporting automation).

At a glance

Measured improvements from deployments

Representative results when execution and data capture are enforced in-process.

80%
Reduction in specification mismatch incidents
When specs are checked in-process
100%
Paperless batch records (target workflows)
Replacing paper records + sign-offs
70%
Faster batch-to-batch analysis
Comparing runs and experiments
70–80%
Reduction in audit preparation time
With complete, searchable digital records
20–30h
Hours saved weekly on documentation
Reduced manual transcription and reporting
Real-time
Operational visibility
Dashboards replace delayed reports
Customer-reported results. Results vary by site, rollout scope, and process.
Case examples

Context → change → impact

Brief examples focused on operating context and the changes implemented.

Packaging manufacturing

Specification visibility that prevents mismatches

Context: Multi-site operation with fragmented MES/ERP + paper, with limited spec visibility at the point of execution.

Change: Put controlled specifications in the step where measurements are taken, with real-time visibility during execution.

  • 80% reduction in specification mismatch incidents
  • 100% visibility of specifications during execution
  • 70–80% improvement in quality record completeness and accuracy
  • Standardised execution across operators and shifts
R&D / process development

Faster iteration with real-time capture and comparison

Context: R&D team using paper/spreadsheets, with slow collation and limited comparability across experimental runs.

Change: Capture run data in real time and compare batches automatically to accelerate learning cycles.

  • 70% faster comparison and analysis across runs
  • 100% real-time data capture across experimental runs
  • ~20 hours saved per week on documentation and reporting
  • Improved reproducibility with complete digital audit trails
Food manufacturing

Replacing end-of-life recipe tools with controlled execution

Context: End-of-life recipe tooling and manual processes created traceability gaps and slow non-conformance reporting.

Change: Replace legacy recipe tools and introduce guided execution with traceability captured as work happens.

  • Full batch traceability across production
  • Faster non-conformance reporting and resolution
  • Reduced manual data entry and cross-shift visibility gaps
  • Removed end-of-life operational risk from legacy tooling
Quantified improvements vary by site and rollout scope.
Dairy processing

End-to-end traceability without paper

Context: Paper-based traceability and compliance documentation created risk and slow response during investigations.

Change: Digitise execution and documentation to create searchable records with end-to-end traceability.

  • End-to-end traceability from raw milk receipt to customer delivery
  • 70–80% reduction in audit preparation time
  • ~25 hours saved per week on manual production reporting
  • Reduced data recording errors with automated capture
Pharmaceuticals / life sciences

Paperless manufacturing with audit-ready digital records

Context: Paper records and scattered data increased audit prep effort and reduced visibility into batch execution.

Change: Move targeted workflows to electronic records with consolidated manufacturing data and dashboards.

  • 100% reduction in paper consumption for targeted workflows
  • 70% reduction in audit preparation time
  • 25–30 hours saved per week on documentation activities
  • Improved traceability and record completeness via digital validation
Regulatory suitability depends on customer validation and configuration.
Rubber manufacturing

Unified data and consistent execution on the floor

Context: Paper-based workflows created data silos and inconsistent execution, limiting visibility into WIP and quality.

Change: Replace paper with a unified data system and standardised workflows for operators.

  • 10–12 hours saved per week from unified data access
  • Faster deviation investigation and resolution
  • Improved audit readiness with complete digital documentation
  • Better cross-shift communication and accountability
Next step

See iMonitor on your workflow

Bring one line, one batch, or one critical process. We’ll map the execution steps, data capture, and checks—and show how results are produced from the same operational record.

References available under NDA.