DOMAIN-LED AI FOR INDUSTRIAL EXECUTION
Connect plant, quality, maintenance and enterprise data around the actual process — then turn loss, variation and risk into timely action.
A 30-minute operational diagnostic. Start with one process, one problem and the data already available.
What the operating layer changes
The industrial decision gap
Operational, quality, maintenance, enterprise, project and sustainability systems each hold part of the picture. The decision needs all of it, in one context, while it still matters.
Source systems
The operating decision
Four gaps sit between the data and the decision:
Process, quality, maintenance and enterprise records describe the same event separately, so no view carries the whole operating picture.
Loss, variation and risk become visible after the impact rather than while the process is still correctable.
Causes are argued from experience because the chain from source data to calculation to conclusion is not traceable.
Actions are raised without an owner, due time or verification, so recurrence is never ruled out.
Unified intelligence layer
Your existing systemsFragmented execution
ProcessGrit context, KPI, correlation and workflow layerVisibility · Evidence · Decision · Assigned action · Verified outcomeYour existing systemsFragmented execution
ProcessGrit context, KPI, correlation and workflow layerVisibility · Evidence · Decision · Assigned action · Verified outcomeThe platform journey
Three stages, in order. Each one answers a different operating question, and each one is visible in the product.
Machine, process, quality, maintenance, ERP and controlled manual data feed one process model instead of ten separate views.
What becomes visible
Connectors are configured per deployment; not every source is connected for every client.
Operational data map — source systems feeding one process model
CoreGrit intelligence layer
Four behaviours, in order. Each one is what the layer does with the data once it is connected.
Unified operating view — plant, line and batch context
The ProcessGrit platforms
Manufacturing and process intelligence
Connect process, quality and maintenance data around the actual process. Detect loss, variation and risk, then route the action that closes it.
Infrastructure execution intelligence
Bring project, progress, cost and site data into one execution context. See the delay and the exposure while the decision can still change the outcome.
Sustainability and resource intelligence
Read resource, emission and governance performance from the same operational data as production. Turn reporting effort into an operating decision.
Common connectivity, contextual intelligence, role-based workflows and outcome tracking.
PCB/PCBA/SMT, Electroplating, Mining, Grain/Rice/Food, Pharma, Beverages and other manufacturing sectors are CoreGrit applications, not separate platforms.
VISIBILITY
Sources are brought together around the asset, line, batch, material, shift, project, resource and role — so every function reads the same operating picture.
Overall plant view — lines, assets and current state
DIAGNOSIS
From signal to cause to action: a traceable chain from source data to calculation to conclusion, with model suggestions marked as suggestions.
Diagnostic workspace — KPI deviation to likely cause
Every conclusion can be traced to its source data, rule and period.
Cost of Quality
Connect prevention and appraisal effort with internal and external failure costs, then trace them to process conditions, material, supplier, equipment and operating decisions.
From costs to impact
Cost inputs
Operational drivers
Improvement action
The driver with the largest recoverable loss becomes an assigned action, and the cost avoided through improvement is tracked against it.
EstimatedEvery value is labelled Imported, Calculated or Estimated. Availability depends on the client's data; the calculation method is approved by the finance and quality owners.
ACTION
Beyond dashboards, built for decisions: detected variation becomes an owner, a response, an escalation path and a verified result.
Action view — assignment, acknowledgement and escalation
The section ends with the operating result: what changed after the action, and whether it held.
How it works
ProcessGrit works with the ERP, SCADA, MES and LIMS you already run. It adds the context, calculation and workflow layer between them and the decision.
APIs, database views, gateways, files, documents and controlled manual inputs feeding one process model.
Source data
The intelligence stack
One process. Every function. One operating view.
Acquire trusted source data from operational, quality, maintenance and enterprise systems.
Map it to process, asset, batch, material, shift and role.
Calculate KPIs and identify loss, variation and risk.
Recommend, assign and escalate the right action.
Verify outcomes and strengthen the rules and models.
CoreGrit industry horizon
Apply CoreGrit across PCB/PCBA/SMT, Electroplating, Mining, Grain/Rice/Food, Pharma, Beverages, Automotive, Chemicals and other manufacturing sectors through industry-specific process, KPI and action models.
Steel and metals, textiles, packaging, cement, plastics, paper and consumer goods use the same page engine: only the process stages, source data, loss logic and role actions change.
Value and outcomes
Turn scrap, rework, downtime, yield loss, excess inspection, delay and resource waste into a prioritised improvement opportunity.
Opportunity model
Annual opportunity = annual production volume × current loss rate × recoverable improvement × unit value
Every input stays editable and comes from your operation. ProcessGrit publishes no default percentage and presents no assumed value as a client result.
Proof and experience
Every entry below carries its own evidence label. A representative scenario demonstrates the method; ongoing engagements and SME team experience are marked as exactly that.
Representative operating scenario
Illustrative of the method. Not a completed client result.
Why ProcessGrit
The value is not another view of the problem; it is a traceable path from visibility and diagnosis to assigned action and measured closure.
ProcessGrit combines technology with an understanding of the process, KPIs, operating constraints, roles and decisions that determine the outcome.
One common intelligence foundation across discrete, batch, continuous, project and ESG processes, with the process model, data, KPIs, rules, workflows and roles configured for each use case.
Begin with one operational loss, decision gap or risk; establish the baseline, required context, action owner and measure of improvement before expanding scope.
Configure the data model, process stages, KPIs, thresholds, calculations, permissions, alerts, workflows and dashboards around your operation.
Move from detected variation or risk to evidence, responsible owner, recommended response, escalation and verified result.
Trust and deployment
Deployment is configured to the client's IT, access, security and data-governance requirements.
Connects to operational, quality, maintenance, enterprise and project sources already in use.
Permissions follow the roles and responsibilities of your operation.
Deployment topology is agreed with your IT and security owners for the defined scope.
Data ownership, retention and handling follow your governance requirements.
How we work
Four stages, each with an owner, an output and an exit criterion. No fixed durations are promised.
How we work, in fullDefine the pain point, baseline and available data.
Configure the process, KPIs, views and workflow.
Validate with users and deploy the agreed scope.
Review outcomes and extend to more lines, sites or use cases.
Start with one process, one problem and the data already available. We will help map the decision gaps and the value case.
