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Twelve industry sectors connected to one governed data hub

Industries

Where being wrong has consequences.

The same capability set, expressed in each sector's own language. Engagements typically begin with one line from this list rather than a sector-wide programme.

01Foundation & governanceone set of numbers · lineage ·cataloguing · migration assurance02Operations & productionyield · asset performance ·condition-based maintenance03Quality & compliancegenealogy · long-horizon retrieval ·containment scoping04Commercial & revenuecost to serve · counterparty 360 ·revenue assurance05Finance & controlconsolidation · close acceleration ·working capital06Intelligence & AIself-service · insight agents ·document intelligence07Governed agentic operationsthreshold-bound action · approvalrouting · sealed record08Sensing & field operationsdetection with a coordinate · offlinecapture · twinsEight groups. Fifty-plus patterns. Read it as range rather than a menu:if a question can be answered from data you already hold, it can be built.
Exhibit 01The same eight capability groups underneath every sector below. What changes is the vocabulary, not the machinery.
Twelve industry sectors connected to one governed data hub
Twelve sectors, one machinery. Each engagement still begins with a single question, not a sector-wide programme.

Discrete and precision manufacturing

Genealogy and traceability, yield and scrap recovery, claim evidence, true cost per part. Quality and test results held against part, batch and revision so they become prediction instead of a filed pass record.

Foundation and governanceOperations and productionQuality, traceability and compliance

Automotive and mobility supply

Traceability across tiers, supplier PPM, warranty defence, and a genuine 360 view for the OEM relationship. Field failures traced back to input lot, process conditions and design revision.

Quality, traceability and complianceOperations and productionCommercial and revenue

Process and continuous manufacturing

Material recovery, batch quality, asset condition and multi-site comparison on identical definitions. Process parameters correlated against downstream quality, turning records into prevention.

Operations and productionQuality, traceability and complianceIntelligence and AI

Energy, utilities and equipment

Asset performance with reasons attached, condition-based maintenance, outage cost, and capital programme control while projects are live rather than after they close.

Operations and productionFinance and controlSensing, vision and field operations

Commodity trading and agri-processing

Position, exposure and margin joined into one live picture across contract, counterparty and destination. Origin traceability and counterparty risk on evidence instead of assertion.

Commercial and revenueFinance and controlQuality, traceability and compliance

Transport and infrastructure

Non-core revenue yield, concession assurance, asset spend against condition, and detection with a ground coordinate across a dispersed estate.

Sensing, vision and field operationsOperations and productionFinance and control

Logistics and shipping

Movement visibility, chain of custody, and true cost to serve per route and customer. Promise integrity surfaced while there is still time to act on it.

Operations and productionCommercial and revenueGoverned agentic operations

Banking and financial services

Long-horizon retrieval without retaining the legacy system, a unified customer view across retail and corporate, and regulatory evidence assembled from governed data rather than rebuilt each cycle.

Foundation and governanceQuality, traceability and complianceGoverned agentic operations

Insurance

Claims analytics, policyholder 360, leakage and fraud signal, and provisioning informed by actual history instead of a standard percentage.

Commercial and revenueFinance and controlGoverned agentic operations

Healthcare and life sciences

Record retrieval, quality and validation evidence, cost of care, and claim reconciliation — with patient data staying inside the institution as a condition of use.

Foundation and governanceQuality, traceability and complianceGoverned agentic operations

Public sector and national programmes

Cross-agency consolidation without a central migration, citizen and entity resolution with an auditable matching rule, sovereign or air-gapped deployment, and a full record of who queried what under which policy.

Foundation and governanceGoverned agentic operationsQuality, traceability and compliance

Professional and asset-heavy services

Utilisation, project margin and document intelligence. Routine matter progression prepared by agents; substantive decisions kept with people.

Commercial and revenueIntelligence and AIGoverned agentic operations
Recovery & scrapMaterial recovered at the stage it was lostGross marginClaim & dispute evidenceContested rather than concededProvisionsContainment precisionScoped to units actually affectedCost of qualityInventory & receivablesWorking capital releasedFinancing costSpend consolidationNegotiation on the whole pictureCost of goods & servicesReport assembly effortHours returned to the businessOperating expenseTool consolidationSeveral licences become part of oneIT operating costNo published percentages. Each lever is estimated from your own operational and financial records before anything is committed.The two largest sources of value are the two we cannot quantify: decisions taken sooner, and decisions taken on one number.
Exhibit 02And the same seven value levers, wherever the work lands.
FIG. 4 WHERE EACH CAPABILITY GROUP LEADS — AN INDICATIVE PLANNING VIEWDiscrete mfgAutomotiveProcess mfgEnergyTradingInfrastructureLogisticsBankingInsuranceHealthPublicFoundationOperationsQuality & complianceCommercialFinance & controlIntelligence & AICORE TO THE SECTORSTRONG FITAPPLIESFOUNDATION APPLIES EVERYWHERE — EVERY OTHER GROUP DEPENDS ON IT, AND IT IS WHERE ENGAGEMENTS BEGIN
Exhibit 03Which capability groups lead in which sectors — component depth (C), live production patterns (S) and advisory entry points (A) differ by sector.

The common thread is not the industry. It is that a question spans several systems, the answer has to be defensible, and the data cannot go wherever it likes.

A common starting point

Migration assurance.

Whether the programme moves an ERP, a core banking or policy platform, a CRM estate or a mainframe workload, they share one demanding and poorly automated task: proving the target equals the source.

Legacy estateLegacy ERP, mainframe, bespoke. Decadesof history and exceptions.Read in place, unchangedOne query across bothBalances, documents, master data andvolumes reconciled side by side on livedata, not sampled extracts.No write-back to either systemTarget estateNew platform, new codes, new logic.Loaded progressively by wave.Read in place, unchangedDuring the programmeContinuous reconciliation, not compressed cutover checksExceptions surfaced by wave, with time to resolveParallel running evidenced for programme governanceAfter go-liveLegacy history accessible without keeping the legacy systemEarlier decommissioning and the licence savingsThe governed layer becomes the analytics layer
Exhibit 04Both estates read in place. One query across both, on live data rather than sampled extracts, with nothing written back.

Is your sector not listed?

That is fine — the platforms are general purpose. Tell us the question and we will tell you whether it is answerable from what you hold.

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