AURA QRIQuality Register Intelligenceby Aura Catalyst
Quality register intelligence for construction teams

Turn one quality register into answers you can defend.

Upload one NCR, RFI, Shop Drawing, WIR or MIR register — or two versions of the same register family. Get back what is overdue, who is recorded as holding it, where approvals are slipping and whether the data supports the answer — each figure traceable to the row it came from.

Preview before you pay · One-time purchase · No subscription

See the $9 launch offer →
Fictional project · NCR analysis
ncr_contractor.xlsxNCR Log · as of 2026-07-01Fictional demonstration data

3

Open NCRs overdue

23.2d

Average to close

2

No owner recorded

Every figure opens to its formula and source rows.

Built for quality managers who present register performance to people who will question it.

Proof 01 · Nonconformance

See where quality performance is slipping — and who is recorded as holding it.

Open NCR ageing, closure duration and recorded holding party, each traced to the rows it came from. Records that cannot be counted are declared rather than quietly dropped — including the 2 open NCRs with no owner recorded at all.

ncr_contractor.xlsxNCR Log · 11 NCRs · as of 2026-07-01Fictional demonstration data

Open NCRs overdue

3

of 5 open · overdue past 14 days

  • 0–7 days1
  • 8–14 days0
  • 15–30 days1
  • 31–60 days1
  • 61+ days1

1 open NCR has no issue date recorded and cannot be aged

rows 6, 12, 14

Average days to close

23.2d

median 17.0d · 4 closed NCRs

Close date − issue date (calendar days); average and median

1 record excluded — closure date precedes the issue date

rows 5, 7, 8, 9

Open NCRs by recorded holding party

  • Miraj Contracting1
  • Tarmeem Engineering Consultants1
  • Northline PMC1
  • No recorded holding party2

Blanks are reported, never guessed.

rows 14, 16

CLOSED 5OPEN 3UNDER REVIEW 1REOPENED 1MISSING 1

Proof 02 · Approval performance

Approval performance shows the rework before the report does.

A separate analysis of a separate register. First-Time Approval, cycles to approval and review duration come from the Shop Drawing log; the repeated rejection reasons are the exact remark text, counted where it appears more than once.

Shop Drawing register · approval performance

sd_contractor.xlsxShop Drawing LogFictional demonstration data

First-Time Approval

40.0%

2 of 5 decided first cycles

Average cycles to approval

1.33

3 approved items

Median review duration

10.0d

1 of 2 open reviews overdue

first-cycle code in ('A','B') ÷ base items with a decided first cycle

first-cycle evidence · rows 5, 11

Shop Drawing register · reviewer remarks

sd_contractor.xlsxShop Drawing Log · Reviewer RemarksFictional demonstration data

Repeated rejection reasons

  • ×2Fire rating not indicatedrows 6, 13
  • ×2Coordination with MEP services missingrows 8, 9
exact-text count of remarks on rejected cycles (no semantic merging)

Exact repeated text only. Aura QRI does not group similar wording or infer root causes.

The same submittal-cycle logic applies to WIR and MIR registers. Only Shop Drawing results are shown here because only Shop Drawing data exists in the fictional project.

Proof 03 · Reconciliation and Data Confidence

Before you defend the number, know whether the register can support it.

Where your version and the other party’s version of the same register family disagree — and where the data itself is duplicated, incomplete or contradictory.

RFI register · contractor vs consultant version

Two versions of the same register familyFictional demonstration data
Contractor version
rfi_contractor.xlsx
vs
Consultant version
rfi_consultant.xlsx
RFI-002
Status
Responded
row 6
RFI-002
Status
Open
row 6
RFI-003
Holding party
Consultant
row 5
RFI-003
Holding party
Contractor
row 5
RFI-006
Response date
2026-06-10
row 9
RFI-006
Response date
2026-06-14
row 9
9 matched4 conflicts1 only in contractor1 only in consultant

All registers · data quality checks

Data Confidence — register quality checksFictional demonstration data
C
Data Confidence: C
Attention required · graded per register, lowest carried forward
warning
Duplicate reference
Reference NCR-004 appears 2 times
ncr_contractor.xlsx › NCR Log › rows 8, 9
critical
Closure before issue
Closure date precedes the issue date
ncr_contractor.xlsx › NCR Log › row 12
warning
Missing status
Status cell is blank
ncr_contractor.xlsx › NCR Log › row 5
A rfi_contractor.xlsx › RFI RegisterA rfi_consultant.xlsx › RFI RegisterB sd_contractor.xlsx › Shop Drawing LogC ncr_contractor.xlsx › NCR Log

Proof 04 · Technical response

See where reviews and responses are slowing the decision.

Response performance measured against the rules your project confirmed, with the excluded records declared.

RFI register · contractor version

rfi_contractor.xlsxRFI RegisterFictional demonstration data

RFI On-Time Performance

42.9%

As of 2026-07-01 · rules version 1

Calculation
Responded On Time ÷ (Total Responded + Open Past Due) × 100
3
7
× 100 =42.9%
Source filerfi_contractor.xlsx
SheetRFI Register
Rows6, 7, 11

1 record excluded — no response date recorded (RFI-010)

You upload

One register, or two versions of the same register family.

NCR · RFI · Shop Drawing · WIR · MIRXLSX or CSV, exported from your existing system. Uploading happens inside your private workspace, never from this page.

You receive

Evidence-linked analysis, clear findings, and a Decision-Ready Quality Brief ready to share.

You get the answers first. The brief is the shareable artifact you take to the meeting.

Your data stays your project data

Private, authenticated workspace

Your registers are processed inside your own workspace, reachable only by you.

Files are not used to train public models

Your data is analyzed for your project and nothing else.

Delete your project and files

Remove a project and its files whenever you choose.

Source-linked calculations

Every figure carries its file, sheet and rows, with Data Confidence stated openly.

Try the fictional project before registering — no customer data required. More detail in our Privacy Notice and Terms.

Launch Member Price — $9

Decision-Ready Register Analysis

One quality register, or two versions of the same register family. One-time purchase, no subscription. The $9 covers your current analysis.

  • Evidence-linked KPIs and findings
  • Ageing and overdue analysis
  • Approval and review performance
  • Recorded ownership gaps
  • Repeated rejection reasons where supported
  • Data Confidence
  • Same-family reconciliation where applicable
  • Decision-Ready Quality Brief

One-time

$9

Preview your results before paying.
No subscription, nothing to cancel.

Clearer, evidence-linked answers — or your $9 back.

Refund policy

Launch Member

Start with one register. Grow with the intelligence around it.

Customers who purchase during the introductory launch period keep Launch Member standing on that account.

Priority access

To selected new register workflows as they become available.

Member offers

Selected introductory member offers or credits.

Early invitations

To major product improvements before general release.

The $9 purchase covers this analysis. Future benefits, features and pricing may vary.

Where Aura QRI sits alongside your existing tools.

Excel and Power BI

They visualize or calculate the data you configure. Aura QRI applies register-specific rules, checks the data itself and links findings to source evidence.

Procore, Aconex and other CDEs

They remain the system of record. Aura QRI analyzes the register you export from them.

Generic AI tools

They answer questions. Aura QRI applies deterministic register logic, structured same-family reconciliation and row-level traceability.

Common questions

Before you upload anything.

Know what’s wrong.
Know who owns it.
Prove every number.

Spend less time assembling the report. Be ready to explain what the numbers mean.