Primewayz redesigned a fragmented industrial-record workflow into a governed, evidence-led operating model where AI can find, reconcile, validate and explain records while statistical officers retain authority over corrections, acceptance and official outputs.
The implementation was shaped around the work employees were already doing, not around a generic AI feature list.
01 · Discovery
Mapped the record lifecycle before designing AI
We modelled how establishment masters, annual returns, classification references, validation exceptions, correction registers, historical series and publication tables interact across statistical roles.
02 · Resolution
Placed AI around authoritative records, not above them
The agent orchestrates bounded retrieval, identity resolution, deterministic checks and evidence assembly. Source systems remain authoritative and protected actions stay approval-gated.
03 · Proof
Tested the operating model against a controlled industrial benchmark
A coherent synthetic environment and 1,200-request evaluation corpus exercise anomalies, duplicate identities, historical versions, ambiguous requests, trend analysis and access-control boundaries.
Three industrial situations show the solution operating end to end
Each case uses the same DES-Prime record model, governance rules and evidence chain rather than isolated demonstration data.
Industrial Return Anomaly
DESP-E04
The discrepancy becomes an auditable correction, not an AI guess
From an industrial question to an authorised statistical decision
The agent compresses record search, reconciliation and evidence preparation. Statistical authority does not move to the model: corrections, acceptance and official release remain controlled human decisions.
01Resolve
Establishment, period, geography, classification and user authority.
02Assemble evidence
Masters, returns, versions, validation history and approved metadata.
03Validate & explain
Deterministic checks, comparisons, exclusions and source-linked findings.
04Officer decision
Clarify, retain, correct, accept, reject or escalate with recorded rationale.
05Controlled action
Approved state change, analysis or publication workflow with full audit trace.
All figures are generated from the same controlled DES-Prime benchmark model. They demonstrate a proof of action, not a claim about a named government department.
Client model
DES-Prime · Industrial Statistics Division
Reference environment
24 districts · 5 reporting years
Synthetic establishment master
18,640 industrial establishments
Annual return records
73,520 versioned submissions
Evaluation corpus
1,200 ground-truth requests
Governance model
Read · Prepare · Approve · Publish separated
Inspectable proof artifacts
The case publishes benchmark artifacts that connect process claims to data, execution traces and evaluation results.
Reference proofDESP-E01Synthetic data model
DES-Prime synthetic industrial data model
Versioned reference model covering 24 districts, 18,640 establishments, five reporting years, classifications, submissions, corrections and audit states.
End-to-end operating model from establishment/frame and return receipt through validation, correction, scrutiny, aggregation and controlled dissemination.