Your Data Chaos Has a Dollar Amount Attached
Messy vendor masters, duplicate records, and inconsistent spend classifications aren't just annoying — they're bleeding cash, inflating costs, and blocking your AI initiatives right now.
We Fix the Data Chaos. You Unlock the Cash.
Our SMART Hybrid™ approach combines AI-powered automation with human expertise to clean, classify, and normalize the data that's costing you millions — without ripping out your existing systems.
Our Data Services
Five specialized services that eliminate the data chaos blocking your cash flow, AI initiatives, and strategic decisions. Each delivered in weeks, not quarters.
Spend Data Classification & Supplier Normalization
We normalize messy supplier names into a single view, then classify line-level spend so you can finally answer "who are we paying, for what, and where can we save?" with confidence.
- Normalize suppliers (no more duplicates or near-duplicates)
- Classify spend into UNSPSC, your own taxonomy, or a hybrid
- Shine a light on tail spend and expose rogue or fraudulent activity
- Enable fast, accurate reporting by supplier, category, and region
Spend Taxonomy Customization
We design or refine a spend taxonomy that matches how your organization talks and buys, so your dashboards feel intuitive instead of cryptic.
- Include only the categories you need—none of the noise
- Use terms everyone recognizes, not generic labels
- Support deep, detailed reporting or simple top-line views
- Review existing taxonomies and plug hidden gaps (like missing "water")
Vendor Master Cleaning
Before you move into a new ERP or P2P platform, we merge, validate, and de-duplicate your supplier records so your shiny new system does not inherit yesterday's chaos.
- Merge supplier files while respecting legal and financial entities
- Validate and standardize addresses and contact details
- Create a single "golden" vendor record per supplier
- Enrich with parent companies, registration numbers, or DUNS if required
Data Cleaning & Readiness Review
We clean customer, supplier, and transaction data across ERPs and CRMs so teams stop wasting time hunting for the "right" record and start acting on a single, trusted source.
- Merge and standardize columns from multiple systems
- Reformat names, addresses, and phones to consistent rules
- Identify and remove duplicates, with a full audit trail if you want it
- Quantify data issues so you can track improvement over time
AI-Powered Data Diagnostic
We run a focused AI scan on your data to show exactly how clean it is today, what it is costing you, and which fixes will unlock the biggest returns fastest.
- Quantify duplicates, mis-classifications, and gaps
- Estimate potential savings and risk reduction in plain numbers
- Check whether your data is ready for advanced analytics and GenAI
- Deliver a simple roadmap with 3–5 clear, prioritized next steps
Why SMART Hybrid™
Traditional manual approaches feel safe but move slowly. Pure AI is fast but can miss nuance and context. SMART Hybrid keeps you in the high-speed, high-trust zone where modern 2026 procurement and data teams operate.
| High Speed & Scale | Low Speed & Scale | |
|---|---|---|
| High Accuracy & Trust |
SMART Hybrid Sweet Spot AI handles large-scale processing, humans handle nuance and validation. You get ~94–98% accuracy, audit trails, and continuous learning—plus fast ROI without extra stress. |
Traditional Manual / COAT-Only Strong human oversight but slow and expensive at volume. Inconsistencies and fatigue errors creep in, and learning does not compound. |
| Low Accuracy & Trust |
Pure AI, No Humans in the Loop Extremely fast but can misclassify, miss edge cases, or reinforce bad patterns. Risky for compliance-sensitive spend and vendor decisions. |
Outdated Manual Chaos Slow, error-prone processes with duplicates, inconsistencies, and no real improvement loop. Your data becomes a blocker, not an asset. |
Quick Answers for Busy Leaders
A few simple explanations to help your stakeholders immediately understand why clean, well-classified data is the fastest lever for savings and smarter decisions in 2026.
What is spend data classification?
Spend data classification (sometimes called categorization) is simply assigning each line of spend to a clear category or "bucket" in your taxonomy so you can group and analyze it.
Instead of thousands of raw descriptions, you see organized spend blocks you can act on—for example, all keyboards, all marketing services, or all logistics in one place.
- Increase profitability and cost savings
- Negotiate more effectively with suppliers
- Spot rogue or fraudulent spending quickly
- Find information and run reports in minutes, not days
Why does "tail spend" matter?
Tail spend looks small and messy in isolation, but once you add up all those "little" transactions, it often hides a whole extra bottle of savings your team is leaving on the table.
By letting us clean and classify your tail, you gain transparency, surface duplicate suppliers, and capture savings that are invisible in unstructured spreadsheets.
How does SMART Hybrid work?
We use AI to process large volumes of data at speed, then loop in human experts to validate edge cases, handle nuance, and ensure accuracy. This gives you 94-98% accuracy with audit trails—without the slow, expensive manual grind.
The AI learns from human corrections, getting smarter over time. You get fast results today and continuous improvement tomorrow.
Is my data secure?
Absolutely. Everything runs inside your Microsoft tenant using your existing Purview governance and Entra ID controls. Your data never leaves your environment. No external APIs. No model training on your proprietary information.
We're outcome engineers, not data custodians. We configure and optimize—your data stays yours.
Ready to See This on Your Own Data?
In 45 minutes, we'll run a free diagnostic on a sample of your data and show you exactly what's broken, what it's costing you, and which fixes deliver the fastest ROI.
Book Your Data Diagnostic