Working demos · synthetic sample data · no client data Asset integrity, applied AI

The inspection data a plant already has, put to work.

Integrity teams sit on years of thickness readings, walkdown notes and campaign reports, most of it in PDFs and spreadsheets. These modules turn that history into decisions: where to look first, what is wearing out, what fits in the budget, and what to send the client.

Each module is a small, explainable tool that sits beside the RBI and inspection practice you already run. Every page below is a live demo on a synthetic sample unit. The pilot swaps in your data.

For

Inspection service companies and owner-operator integrity teams, from a single unit to a site.

Principle

Decision support with the certified inspector as the authority. Every number shows its drivers.

Proof

A blind backtest on one historical campaign before any commitment.

How it fits togetherCapture, digitize, model, plan, report. One record per reading, end to end.

Each stage feeds the next, and each can be adopted alone. The green pulse is a reading travelling through.

Pipeline: capture, digitize, model, plan, report 01 CAPTURE02 DIGITIZE03 MODEL04 PLAN05 REPORT Walkdowns, UT, PECfield capturePDFs and sheetsto one clean tableRank, corrosion rate,remaining lifeCampaign by budgetand accessScopes, quotes,jurisdiction reports Field app · nextReport DigitizerWorkbench · Remaining LifeCampaign PlannerScope & Quote
CaptureReadings and jacket condition taken in the field, with the line tag and the point.
DigitizeHistory already sitting in PDFs and spreadsheets, extracted with the uncertain fields flagged.
ModelSusceptibility ranking, corrosion rates and remaining life, each with its drivers exposed.
PlanWhat fits in the campaign, grouped by access so scaffold and rope-access days are not wasted.
ReportScopes and quotes for the client, and reports in the format the jurisdiction expects.
Next in line

Two more pieces, once the first pilot has run.

Both depend on field data that the pilot itself starts to collect. They are described here so the roadmap is visible, not because they are ready.

How a pilot runs

One export, one written scorecard, then a decision.

The same shape for every module. Nothing needs a meeting, and a result that does not beat your current practice is reported as plainly as one that does.

  1. STEP 1You · about an hourSign the NDA, send the export

    One unit or campaign, anonymized. Name one technical contact for written questions.

  2. STEP 2Clear Anvil · one weekRun the module blind

    Findings held back, results produced from attributes and history, then checked against what was found.

  3. STEP 3Clear Anvil · a few daysWritten scorecard

    What it got right, what it got wrong, and what changed versus your current order or method.

  4. STEP 4Both · your callSmall paid pilot, or stop

    One live cycle on one unit with your people in the loop. Not a large software commitment.

Data boundaryNDA first. No client identifiers. Your data is not used to train anything and is deleted after the readout.
What you ownEvery scorecard, ranked list, rate table and draft document, delivered as files you keep.
What this is notNot a replacement for RBI software, API practice or the certified inspector. A layer beside them.
About these demos. Every circuit, reading, report and price on these pages is generated sample data for a fictional unit. There are no client results here. The methods follow published standards where they apply, and the pilot exists to test each one on your own history.
PRESSURE-TEST IT BY EMAIL

Send one export.
Get a written scorecard back.

Reply to the thread or write to the address below. No meetings needed unless you want one.

jamil@clearanvil.com