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Built for construction and property finance teams

Your finance data is leaking margin. We find it, fix it, and prove it.

Data Rehab helps construction and property finance teams uncover the data issues behind slow closes, broken job-cost reporting, AR / AP mismatches, and dashboards nobody trusts.

  • !AR aging that doesn't tie to your trial balance
  • !Job costs coded inconsistently across jobs, teams, or systems
  • !Duplicate vendors, duplicate payments, and unapplied credits

Built by finance operators, not generic AI consultants.

Free score, no credit card
Read-only or file-based review
Fixed-scope engagement options
Invoice on delivery for approved cleanup

If any of this sounds familiar, your data is already costing you money.

AR aging does not tie to the trial balance

Collections, reporting, and forecasting all get harder when the numbers do not reconcile.

Duplicate vendors, duplicate payments, or unapplied credits

Cash leaks hide inside messy AP and weak controls.

Job costs are coded inconsistently across jobs, teams, or systems

Margin analysis breaks when the source data is unreliable.

Change orders, field activity, and finance records do not line up

The office closes late because the field and finance are speaking different languages.

Your dashboards look polished but nobody fully trusts them

Reporting speed means nothing if the source data is weak.

You are about to buy BI, automation, or AI before fixing the inputs

That usually makes the mess faster, not better.

The path forward

Start small. Prove the issue. Fix what matters.

You do not need a full replatform to stop bleeding from bad finance data.

01
Step 01Free

Free Data Health Score

A fast first pass to surface likely risk areas, data friction, and where deeper review is worth it.

  • High-level review of your submitted information
  • Summary score by risk area
  • Likely problem zones identified
  • Recommendation on whether a Data Autopsy is worth it
Get Free Score
02
Step 02Starting at $2,500

Data Autopsy

A fixed-scope diagnostic that shows where your reporting, controls, or margin visibility are breaking down — and what the recovery path looks like.

  • Executive findings summary
  • Issue inventory with quantified risk areas
  • Priority-ranked recovery map
  • Recommendation: internal fix, Rehab Sprint, or no further action
Book a Data Autopsy Call
03
Step 03Typically $12k–$25k+

Rehab Sprint

We clean up the underlying data, document the transformations, and hand back a finance-ready output your team can actually trust.

  • End-to-end cleanup and reconciliation
  • Documented transformation and mapping logic
  • Finance-ready output package
  • Invoice on delivery — not kickoff
Talk Through Scope

What you get back is more than a cleaner file.

We are not trying to impress your dev team. We are trying to give your finance team numbers they can use.

  • Clear findings on what is broken and why
  • Quantified leakage and reporting risk areas
  • Reconciled, finance-ready outputs
  • Documented transformation and mapping logic
  • A cleaner handoff into reporting, automation, or AI
  • Fewer manual workarounds and less month-end repair work

Built by operators who have lived this mess.

Data Rehab was built by finance operators who have seen the same failures inside real businesses: duplicate vendors, subledger gaps, bad job-cost mapping, unreliable AR, and leadership teams making decisions on numbers nobody fully trusts.

We use a controlled process, defined deliverables, and clear documentation so your team knows what changed, why it changed, and what to do next.

What we commonly uncover

  • Duplicate vendor records inflating AP noise
  • AR aging that does not tie out to the subledger
  • Inconsistent job-cost categories across divisions
  • Broken or missing linkages between source systems and reporting
  • Manual spreadsheet work hiding control failures

What you receive

  • Issue summary and findings report
  • Priority-ranked recovery map
  • Cleaned output package
  • Transformation and mapping documentation
  • Optional downstream recommendations

What the data actually looks like — before and after

Before — Source export
VendorAmountGL CodeJob #Status
ABC Framing$14,2005200J-104Posted
ABC Framing LLC$14,2005210104Posted
Apex Concrete$8,7505100(blank)Open
Delta Electric$3,400J-107Unapplied
Duplicate vendorGL mismatchMissing job codeUnapplied credit
After — Rehab output
Vendor (canonical)AmountGL CodeJob #Status
ABC Framing LLC$14,2005200J-104Posted
ABC Framing LLCDuplicate removed — merged into row above
Apex Concrete$8,7505100J-102Reconciled
Delta Electric$3,4005300J-107Applied
Duplicate mergedGL standardizedJob code resolvedCredit applied

Illustrative example based on common findings. Actual output includes full transformation documentation and audit trail.

Choose the right starting point.

Free Data Health Score

No cost

A fast first read on where your data risk is showing up. Best for teams that want an initial look before committing to a deeper diagnostic.

Most Popular

Data Autopsy

Starting at $2,500–$4,997

A fixed-scope paid diagnostic for teams that need quantified findings, a recovery map, and a clear recommendation on what to fix and how.

Rehab Sprint

Typically $12k–$25k+

End-to-end cleanup and remediation for finance teams that need the issue fixed, not just identified. Scope depends on entities, systems, and complexity.

Approved cleanup engagements are structured around clear quality gates and documented deliverables.

Once the data is fixed, you can finally build on top of it.

For some clients, Data Rehab is the end goal. For others, it is the first step before better reporting, automation, forecasting, or agent-driven finance workflows.

If you need a downstream layer for construction finance operations, that can extend into Jake CFO. But the order matters: fix the data first, then build on it.

Stop guessing whether the problem is your dashboard, your ERP, or your data.

We will show you where it breaks.

No bloated discovery. No software pitch deck. Just a clear read on what is broken and what to do next.