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Where the platform earns its place

Industrial AI Use Cases

PDICON Intelligence is organised around specific, repeatable industrial decisions rather than a general assistant. Each use case defines its evidence, its qualified approver, its measurable outcome and the analytics that make the decision reviewable.

Procurement live in build; others directional
Selection rule

A use case qualifies only when the decision repeats.

Repeatable decisions produce comparable episodes. One-off judgement calls cannot be evaluated, trained on, or improved with any statistical confidence, so they stay outside the learning loop.

Evidence rule

Every use case names its controlled documents.

Requirements, drawings, submissions, schedules and site records are declared before capture begins, so the model is never asked to reason from sources the customer has not approved.

Outcome rule

Every use case ends in an observable result.

Delivered equipment, achieved schedule, actual cost and post-installation performance close the loop and decide whether the assistance was genuinely useful.

Operating principle

A use case qualifies only when the decision repeats.

Controlled sequence

From input to accountable outcome.

Each transfer preserves context, ownership and the human gate required before consequential action.

  1. 01
    Technical procurement and vendor evaluation
  2. 02
    Engineering evidence and precedent retrieval
  3. 03
    Feasibility and go/no-go preparation
  4. 04
    Schedule variance and escalation
  5. 05
    Site observation versus plan
  6. 06
    Quality and safety exception review
  7. 07
    Institutional project memory

Operating matrix

Evidence moves through explicit controls.

The matrix separates source evidence, intelligence work, governing authority and the resulting artifact.

Control surface Reviewable lineage
SubjectInputIntelligence operationHuman / policy controlOutput
ProcurementRFQ, specification, vendor submissionsExtract, compare, flag deviationsEngineer approval before awardReviewable recommendation
EngineeringDrawings, codes, project precedentRetrieve and conflict-checkQualified engineer decidesEvidence-linked answer
Project controlPlans, progress, procurement statusDependency and variance analysisProject manager escalatesCorrective action list
CapacityWorkflow effort and review recordsAggregate and compareManager interpretationCapacity evidence

Design boundary

What the system will not pretend to be.

Credibility begins where automation stops and accountable professional judgment starts.

01

Not every industrial task

Use cases are added only when the decision, evidence and outcome can all be defined.

02

Not autonomous execution

Each use case terminates in a qualified human decision, not an automatic action.

03

Not a claim of deployment

Procurement is the workflow in active build; the remaining use cases are declared expansion directions.

Questions answered

Precise answers for technical evaluation.

Open a question to inspect the operating position, not a marketing promise.

01Which use case does PDICON start with?

Technical procurement: RFQ preparation, vendor response analysis, compliance comparison and expert recommendation. It has clear inputs, repeated decisions and a measurable downstream outcome.

02How is a new use case added?

A candidate decision must repeat, rely on controlled documents, have a qualified approval role and produce an observable project outcome that can be measured later.

Get started

Start with one real decision.

Bring a workflow your team already repeats. We define the evidence, the approver and the outcome to measure, then instrument it end to end.

Talk to the team How engagements work

We are working with a small number of design partners across engineering and procurement workflows.