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// THE PRODUCTION RECORD

Our own record, published in full.

The industry number is that 95% of enterprise AI pilots return nothing. Rather than quote it and move on, here is our own record: every AI and data system we have built, and what actually happened to it. It is a small dataset by design, 10 systems, and it is our own, not an industry survey. We publish the ones we refused and corrected alongside the ones that shipped, because that is the whole point.

Record current as of July 2026

7 in production

1 dormant

1 refused

1 corrected

10 systems in total. Every one of them is named in the table below, with what happened to it.

7

In production

1

Dormant

1

Refused

1

Corrected

PurviewX systems by outcome
SystemSectorOutcomeWhat happened
Water-quality consumer productEnergyIn productionShipped after several earlier approaches failed. Publishes water-quality measurements against federal legal limits across roughly 300 Connecticut ZIP codes.
Operations unification across five platformsInsuranceIn productionFive disconnected systems reconciled into one operational picture; the engagement is ongoing.
Property enrichment pipelineDistributionIn production101,862 properties in scope, roughly 40% enriched. We found and reported our own dedup bug to the client rather than absorbing it quietly.
Court intelligence pipelineLegalDormantWe found the original discovery loop spending money and writing zero rows, and rebuilt it on the county bulk feed. It works. It is also dormant: the wider lead pipeline it was meant to feed was never built out, and no lead from it was ever converted. A correct diagnosis is not the same thing as a business.
Country-risk intelligence platformEnterprise securityIn productionCountry risk tied to enterprise exposure, built on official government advisory sources; ongoing.
Daily customer-intelligence briefing suiteOperationsIn productionAutomated daily briefings generated from unified operational data.
Voice agent for live customer callsOperationsIn productionHandles live inbound customer calls.
Three predictive ML modelsMultipleRefusedBuilt and tested. Accuracy collapsed once we removed leaked labels and circular targets, so we kept them shadow-only and shipped none of them.
Edwin (AI memory system, our R&D)Own productIn productionProvisional patent filed. Two of 35 experiments disproved our own hypotheses, and the filing discloses them.
Consumer marketplace directoryOwn productCorrectedAdded a confidence spine that grades every listing by its provenance and serves it by trust tier instead of hiding weaker rows. Established that 906 of 1,290 active listings were genuinely bookable, meaning a real future session and a real price.

Methodology

  • In production means a system is processing real data in production use.
  • Dormant means we built it, it works, and it is not being used. We report it separately because counting it as production would be the flattering answer rather than the true one.
  • Refused means we built and tested it, then chose not to ship it.
  • Corrected means we found and fixed a material error in our own output.
  • This is our own engagement record, not an industry survey, and the sample is small on purpose. Two security-assessment engagements are excluded pending review, so they do not appear here.