Less migration effort
HCM system migration reduced from 12 months to 3 months in project person-days. Implementation partners deliver faster. Your team gets payroll live sooner.
Connect and Reconcile any HRIS with any Payroll in under 1 hour.
“You just drop a file and the system maps it by itself, and the tool learns over time.”
“I just need to feed the file inputs and outputs, and it can recognize the field mappings and introduce the business rules. Within a few hours, I have everything set up.”
“With my limited knowledge, I can use DataScaleHR on my own without depending on someone else.”
“It uses AI to quickly write transformation rules and map payroll fields in any language to any payroll system.”
“I can have a client setup in minutes with only a few steps.”
Upgrade to GPC and DCOD in a single day.
Workday's Global Payroll Connect (GPC) through its Data Change On Demand (DCOD) API delivers field-level payroll extraction, change detection, backdated corrections, rescinded event tracking, and full intermediate history. It unlocks one of Workday's most powerful payroll modules, the Global Payroll Hub. Activating this integration across global payroll typically requires complex technology and years of testing — until now.
datascalehr handles that entire layer. No developers. No file specs. No professional services. Under one hour per country, for any payroll, across any country, to any payroll provider.
Your compensation data lives in 15 systems across 20 countries. The EU wants one audit-proof report. Consultants and spreadsheets won't survive the audit. datascalehr normalizes your fragmented data into a jurisdiction-aware dataset. Live in days, not quarters.
Every SAP migration requires reconnecting to local payroll providers. Traditional approach: 4–8 weeks per country, $75–100K each. datascalehr: 2 hours per country. The AI already knows how SAP payroll data maps to 1,000+ local providers across 150+ countries.
Once your payroll data flows through the context layer, everything else becomes possible. Payroll dashboards across every country. Automated payroll-to-GL posting. Instant reconciliation that used to take your team days. All from the same normalized dataset.
Independently validated — no input or oversight from datascalehr.
Source: benchmarks run by implementation partners and Europe’s #1 payroll provider.
HCM system migration reduced from 12 months to 3 months in project person-days. Implementation partners deliver faster. Your team gets payroll live sooner.
1 day for onboarding, then less than 1 hour per country. Your payroll specialist uploads data, reviews AI-predicted mappings, and confirms. No IT project.
Europe's #1 payroll provider cut reconciliation time from 4 hours to 15 minutes per cycle.
KMod does 90% of the mapping work automatically. Your payroll specialist confirms and corrects the rest. No developers. No file specs.
Most teams expect years and millions. The reality: 1 day of training, then 2 hours per country.
| Metric | Traditional | datascalehr |
|---|---|---|
| Implementation cost | $750K – $1M | $75K – $200K |
| Time to go-live | 10 – 14 months | 5 days |
| Ongoing maintenance | $150K/yr | Self-healing |
Assumptions. Traditional: $75–100K per country, 4–6 weeks per country (sequential), $15K/yr/country maintenance. datascalehr: 1 day training (one-time) + 2 hours per country + IT setup. KMod™ has 1.5M+ validated mappings across 150+ countries — predictive AI accuracy, no hallucinations. Illustrative; platform licensing quoted separately based on deployment scope.
Upload a file or connect via API. KMod predicts field mappings from 2M validated decisions. Your payroll specialist confirms. Live in hours. The system learns from every deployment — country 10 deploys faster than country 1.
You connect MNCs to in-country payroll. You need faster implementations and self-healing connectors.
You advise or enable enterprise HR. You need embedded payroll intelligence for your clients.
KMod, the Context Layer, schema-on-read, and why this couldn't exist before AI.