Structural Data Remediation

Integrity Before Intelligence.

If your dashboards disagree, your CRM is bloated, and your AI experiments underperform — your foundation is broken.

We restore structural integrity to business data so leadership can operate from verified reality.

97%
Average integrity score
post-remediation
01 — The Real Problem

Your Data Isn't Broken.
It's Structurally Unsound.

Growth creates complexity. Complexity creates duplication. Duplication destroys trust.

You don't have a reporting problem. You have a data integrity problem.

The issue is not the tools. It's the foundation beneath them.

  • Revenue numbers differ across dashboards
  • Customer records exist in multiple formats
  • Sales, finance, and ops operate from different exports
  • AI produces inconsistent or nonsensical outputs
Structural Decay Indicators
CRM Duplication
78%
Schema Drift
65%
Report Conflict
82%
AI Readiness
23%
SSoT Coverage
31%
Avg. Integrity Score 34/100
02 — What We Do

We Repair and Rebuild
Data Infrastructure.

Structural remediation for profitable companies that outgrew their systems.

01

Data Sanitation &
Standardization

We identify duplication, inconsistency, and structural decay across your CRM, ERP, and operational systems — then correct it at the root level.

02

Database Architecture
& Rebuild

We redesign schema, field logic, and relational structure to support operational clarity and scale.

03

Single Source of Truth
Unification

We consolidate fragmented data into a verified master foundation used across departments.

04

AI-Ready
Optimization

We structure and enrich your data for LLM ingestion, analytics pipelines, and automation accuracy.

03 — Who We Work With

Built for Operators,
Not Hobbyists.

$5M–$100M
Annual Revenue
25–300
Employees
Multiple
SaaS Systems
Complex
Internal Reporting

We work with profitable small and mid-sized businesses — companies running on multiple SaaS systems with internal reporting complexity and AI ambitions that haven't delivered.

You're not enterprise. But you operate like one. Your data should reflect that.

Your infrastructure grew organically. We make it grow intentionally.

04 — Our Process

The Structural Integrity
Framework

Phase 1

Audit

Deep data profiling and integrity scoring across all connected systems.

Phase 2

Sanitize

Deduplication, normalization, and field-level standardization.

Phase 3

Architect

Schema redesign and relational correction for operational clarity.

Phase 4

Unify

Consolidation into a master verified dataset — your SSoT.

Phase 5

Optimize

AI-readiness preparation and ongoing governance protocols.

05 — Proof of Transformation

Clean Data Is Measurable.

Before
31%
CRM duplication rate
4
Conflicting revenue dashboards
AI hallucinations from incomplete records
After
1.2%
Duplication rate post-remediation
1
Single verified executive dashboard
Structured AI-ready data layer
06 — Resources

Executive-Grade Diagnostics.

The Data Integrity
Stress Test™

A 5-minute executive diagnostic that reveals your Data Integrity Score (0–100).

  • Integrity Score
  • Risk Classification
  • Top 3 Structural Weaknesses
  • Estimated Cost of Dirty Data
  • AI Readiness Rating
  • Executive Remediation Brief
Run the Stress Test

The Dirty Data
Cost Calculator

Quantify operational waste, reporting inefficiency, and AI underperformance in minutes.

  • Annual Productivity Loss
  • Revenue Leakage Estimate
  • Data Correction Overhead
  • AI Degradation Cost
Calculate My Data Loss

Executive Brief:
AI Failure Isn't an AI Problem

A 14-page executive report explaining why most AI initiatives fail before they start.

  • Structural Data Decay Model
  • Garbage-In Cost Analysis
  • Case Scenarios
  • Self-Assessment Checklist
  • Remediation Roadmap
Download the Brief

You Can't Scale on
Corrupted Structure.

AI will not save bad data.

Dashboards cannot fix duplication.

Hiring analysts won't restore integrity.

If your foundation is compromised, growth multiplies the damage.

Run the Data Integrity Stress Test