Atlas combines AI-led evidence capture with tax, data, and implementation expertise.
The result is a faster, deeper readiness process built on actual records, requirements, decisions, and system evidence.
Understand how the process really works.
Atlas ingests the evidence your teams already have:
AI agents extract entities, systems, rules, decisions, owners, and open questions across all sources.
This creates a complete evidence base without relying on weeks of manual interviews.
AI creates coverage across documents, data, and teams.
Build the operating model behind the invoice.
Atlas connects the evidence into a structured view of:
This shows how the invoice actually moves from source data to ERP, ASP, network, and customer.
Hidden dependencies and ownership gaps become visible before implementation begins.
AI maps thousands of signals faster than a manual discovery team.
Test what will break before go-live.
Atlas validates real data and requirements against the applicable rule pack. It identifies:
Every material finding is tied to a source, rule, owner, required action, and supporting evidence.
Tax and implementation experts review areas that require judgment.
AI finds the patterns. Experts validate the conclusion.
Turn readiness into an implementation-ready plan.
Atlas converts validated findings into a working delivery file for the client, SI, ERP partner, and ASP. The output includes:
After fixes are completed, Atlas reruns the evidence and validates progress.
Readiness becomes a living capability, not a one-time assessment.
Every material decision remains evidence-backed and human-approved.