AI-Assisted Quality Assurance for Pressure-Equipment Reports

Catch Report Problems Before Your Clients Do

InspectSystems turns pressure-equipment inspections into clear, complete reports. Its built-in review assistant, ARIA, checks report details, compares equipment history, and cross-references applicable codes and standards. It explains each concern and cites the source so your reviewer can verify it. With every completed review, ARIA becomes better at finding what others might miss. Your qualified inspectors always make the final decision.

Less human error. More human excellence.

Code-backed findings · Equipment history comparison · Lessons from past reports · Human approval

ARIA provides decision support and draft outputs for qualified review. It does not replace the inspector, engineer, or jurisdictional authority.

UT-2041_V-104-Report.pdf
Equipment V-104 · Illustrative record
QA status: In review
Disposition: Review recommended
High severityMinimum reading needs reviewer attention.
Review severityConclusion and measurement table differ.
Review severityFollow-up language requires confirmation.
Reference verifiedHistory change detectedAsk ARIA

Every report backlog hides two risks

Review risk

Important findings are buried inside long PDFs and inconsistent formats.

Delivery risk

Inspectors and QA teams retype data into customer templates after field work is done.

ARIA QA Agent handles the review layer. ARIA Reports handles the completion layer. They exchange grounded context and reviewer decisions before ATLAS retains the accepted history.

ARIA / QA Agent feature

ARIA QA Agent: one review workflow for the reports you already receive

Batch report intake

Upload PDFs or ZIP batches and follow each report through the queue.

Layered engineering review

Deterministic checks, contextual AI review, and code or lesson retrieval work together.

Source-grounded findings

Claims, negation, completed work, and technical references are checked against the report.

Risk-ranked review

Findings are grouped by severity and disposition impact instead of maximizing flag count.

Historical comparison

Compare the current report with prior equipment records and surface discrepancies or unresolved actions.

Reviewer feedback

Accept or reject findings with context and preserve the decision as improvement evidence.

Findings

High severity · OpenMeasurement requires reviewer disposition.
Review severity · OpenConclusion conflicts with the source table.

Source and history

Source evidenceReport table and conclusion linked for review.
Historical comparisonPrior accepted record differs from the current value.

How the ARIA QA flow works

1

Upload

PDF or ZIP batch enters the review queue.

2

Screen and ground

The system extracts context, applies deterministic checks, and verifies AI findings against the source.

3

Compare and review

Review severity, disposition, references, and history changes. Ask ARIA where needed.

4

Resolve and retain

Record reviewer decisions, export the QA result, and promote accepted equipment into ATLAS.

Pilot / Design Partner Access

Keep the customer's report format. Remove the retyping.

Upload an approved Excel or Word template. ARIA maps the fields, proposes grounded values from report context or photos, and returns the completed original format after human review.

ARIA stands for Autonomous Reporting Intelligence Agent. It connects two distinct, human-controlled workflows: the ARIA QA Agent review feature and ARIA Reports completion.

ARIA / Connected workflow map

Inspection evidence and approved templates feed two connected ARIA workflows. QA findings and reviewer decisions inform report completion, and accepted outputs return to ATLAS history.

Shared evidence layer Inspection report · Equipment history · Approved template
Workflow 01

ARIA QA Agent

Review feature

  1. 01Intake reportsPDF or ZIP queue
  2. 02Screen + groundChecks, evidence, history
  3. 03Qualified reviewResolve findings
Shared source context QA state + reviewer decisions
Workflow 02

ARIA Reports

Completion feature

  1. 01Load templateApproved .xlsx or .docx
  2. 02Map + proposeGrounded field values
  3. 03Review + exportHuman-approved output
Shared governed outcome Accepted report + ATLAS equipment history

Your file in, your file out

Preserve the accepted .xlsx or .docx format and export PDF when required.

Human-approved mapping

Review where ARIA can write before a template revision becomes usable.

Propose, review, apply

Every value remains a proposal until the user approves it; existing user values stay protected.

Photos and approved context

Use nameplate and static-data photos as proposal sources.

QA before delivery

ARIA QA Agent runs when the report enters review; early exports are permanently marked pre-QA.

Tenant-safe learning

Structural template-navigation lessons may improve globally while customer files and field values remain tenant-scoped.

Template preview

Equipment identifierV-104
Inspection conclusionReview required
Source attachmentNameplate photo

Proposals

Equipment identifier: V-104Source: nameplate photo · Confidence: High
Inspection date proposalSource: report header · Confidence: Review
Current: Monitor → Proposed: Review required

ARIA in context

Ask in context. Act with review.

Ask ARIA about a finding, conclusion, or full report without re-entering context.

Use ARIA to draft or update supported fields through explicit insert and apply actions.

ARIA can propose and draft. Qualified people approve the report and the engineering decision.

Ask about the findingTrace a question back to the report evidence and review context.
Draft supported fieldsInsert or apply a proposed update only after explicit review.
ITP generation in ATLASAvailable for guided demo

Built for evidence, not confident guesses

Source checks

AI findings are cross-checked against report evidence.

Verified references

Unsupported section citations are removed instead of displayed as fact.

Human decision trail

Finding feedback, field provenance, and pre-QA export status remain visible.

Governed improvement

Regression checks and reviewer feedback feed a human-approved improvement process.

Uncertain report ownership can be quarantined, with tenant boundaries enforced in the data layer.

Capture, review, and retain in one platform

Field workflows

VE, UT, PSV, MT, photo, nameplate, and related inspection capture.

ATLAS + ARIA Deliverables

Registry, report history, exports, and ITP drafting — available for guided demo.

What we measure

  • False-positive reviewer feedback
  • Source and citation verification
  • Regression checks on pinned reports
  • SME edits per released report
  • Time from upload to reviewed output

Bring us one report batch and one customer template

We will show how ARIA QA Agent reviews the reports, how ARIA Reports completes your format, and where qualified reviewers stay in control.