ThirdLine gives software companies, AI platforms, and public accounting firms secure access to normalized, enriched financial data from government ERP systems — through a standard database schema that makes the data make sense.
Government ERP systems were not designed for modern software, AI agents, continuous audit, benchmarking, or cross-agency intelligence. Data is fragmented across tables, modules, workflows, exports, and local configurations. ThirdLine turns that complexity into a usable data layer.
ThirdLine connects to the core systems of record used by governments, standardizes the data into a common schema, enriches it with analytics and benchmarks, and delivers it to partners through API, MCP, database, or reporting-ready outputs.
Access data from systems like Tyler Munis, Oracle, Incode, Workday, CentralSquare, and other public sector ERPs.
ThirdLine maps messy tables and fields into a standard public sector ERP schema that products, models, and teams can use.
Go beyond raw data with analytics, classifications, audit signals, benchmarking, exception flags, and derived attributes.
ThirdLine gives partners the infrastructure layer they need to serve governments without becoming government ERP integration experts.
ThirdLine does not simply move data from one place to another. We make public sector ERP data usable by converting source-specific tables into a normalized database schema with government finance context built in.
-- Raw ERP data becomes product-ready intelligence source_system: Tyler Munis | Oracle | Incode | Workday | CentralSquare entity: vendor normalized_vendor_id vendor_name_standardized tax_id_hash local_vendor_flag payment_history employee_vendor_match vendor_change_risk_score entity: invoice_payment fund department account vendor invoice_number payment_date payment_amount procurement_context duplicate_payment_signal audit_exception_score enrichment: analytics | benchmarks | risk flags | classifications delivery: API | MCP | database | dashboard | partner application
ThirdLine lets partners focus on their application, model, advisory workflow, or client outcome — while we handle ERP access, schema normalization, data quality, analytics, and public sector enrichment.
Embed government financial data into procurement, HR, budgeting, compliance, workflow, transparency, reporting, risk, and operational intelligence products.
Give AI products and agents trusted, structured, permissioned public sector financial data instead of fragile exports, PDFs, and disconnected spreadsheets.
Power external audit, internal audit, advisory, fraud review, performance analysis, continuous monitoring, and benchmarking with repeatable ERP data access.
Power audit workflows with complete populations, risk-ranked exceptions, vendor risk, duplicate payments, procurement indicators, payroll anomalies, and permission insights.
Compare spend, staffing, vendors, departments, categories, process performance, and risk indicators across peer governments using a common data foundation.
Let AI systems answer finance, procurement, HR, payroll, vendor, audit, and internal control questions against clean, structured ERP data.
Enable products for budget analysis, spending trends, vendor concentration, purchase behavior, working capital, grant compliance, and operational finance.
Identify split purchases, unusual merchants, approval issues, threshold risk, contract leakage, and opportunities to shift spend to better payment processes.
Support workforce analytics, turnover analysis, overtime review, payroll trends, employee master data, and cross-functional reporting.
The next generation of govtech, audit, advisory, budgeting, procurement, HR, and finance applications will not be built on static exports. They will need secure, structured, context-rich access to the government’s core system of record. ThirdLine is building that layer.
The goal is simple: give partners clean, standardized, enriched public sector ERP data without forcing them to become experts in every government ERP implementation.
No. ThirdLine handles ERP access, but the bigger value is the standard schema and enrichment layer. We normalize messy ERP data into a usable public sector data model and add analytics, classifications, benchmarks, and audit-ready context.
ThirdLine is built for public sector ERP systems including Tyler Munis, Oracle, Incode, Workday, CentralSquare, and other government finance systems.
Depending on the use case, ThirdLine can support API access, MCP access, database delivery, reporting-ready data, or partner-specific data workflows.
Software companies, AI companies, public accounting firms, advisory firms, benchmarking platforms, audit automation companies, procurement products, HR products, and other groups that need public sector ERP data.
We discuss your target use case, ERP systems, required entities, refresh needs, data delivery format, security expectations, enrichment needs, and the fastest path to a partner pilot.
Talk with ThirdLine about your software product, AI workflow, audit service, benchmarking model, or advisory use case. We’ll help map the data, schema, enrichment, and delivery path for a partner pilot.