Clean.
Classify.
Control.
Clarify.
Then AI.
ThirdLine is the AI Control Layer for government ERP data — turning messy ERP records into trusted, governed, permission-aware intelligence before they enter AI platforms.
AI is only as trustworthy as the ERP data behind it.
And adoption is only as strong as the clarity behind the rollout.
When AI connects directly to messy ERP data, it can confidently produce bad answers.
- ✓Vendor masters can contain duplicate or incomplete vendor records.
- ✓Chart of accounts mappings often live in spreadsheets and institutional memory.
- ✓Transactions may be misclassified across funds, departments, objects, grants, or projects.
- ✓ERP permissions may not match what users should be allowed to see in an AI interface.
ERP → ThirdLine → AI
ThirdLine is the place where government ERP data becomes clean, classified, controlled, and AI-ready.
ERP Systems
Transactions, vendors, accounts, users, roles, policies, workflows, and source records.
ThirdLine
Clean up. Classify. Tag. Risk-score. Provision. Monitor. Document.
AI Platforms
Trusted answers, fiscal summaries, budget narratives, audit support, and secure agents.
The software layer AI governance has been missing.
Public-sector AI requires more than prompts. It requires data quality, classification, access controls, monitoring, and audit evidence.
Clean Up
Identify duplicate, missing, stale, inconsistent, or misclassified ERP data before AI relies on it.
Classify
Tag vendors, accounts, transactions, departments, funds, projects, grants, and reports into meaningful categories.
Control
Apply risk scores, control tests, policy logic, exception flags, and human review workflows.
Provision
Use ERP roles and permissions to help determine what users can see and do inside AI.
Evidence
Maintain source references, change history, refresh logs, classifications, and control results.
Activate the controls your AI needs.
Start with one ERP domain, then expand across finance, AP, procurement, payroll, reporting, audit, and roles.
AI Data Readiness
Score ERP data quality and identify gaps before AI implementation begins.
AI Classification
Map vendors, accounts, reporting categories, grants, projects, and sensitive fields.
AI Access Control
Translate ERP permissions, departments, funds, and account visibility into AI boundaries.
Risk Scoring
Expose risk scores and exception logic for vendors, invoices, budget, procurement, payroll, and roles.
Audit Evidence
Create source-grounded, reviewable evidence packages behind AI answers and reports.
Monitoring & Refresh
Keep the AI-ready layer current as new vendors, accounts, transactions, and users change.
Analytics, policies, risk scores, and monitoring — already working together.
ThirdLine can configure datasets, link policy rules to analytics, assign risk score thresholds, monitor exceptions, resolve transactions, add custom fields, and build dashboards and reports. That same controlled data layer can power AI.
Where innovative, security-minded governments start.
Budget-to-Actual & Audit Readiness
Classify accounts, explain variances, detect miscoding, and support audit-ready narratives.
Vendor Master Cleanup
Group duplicate vendors, classify vendor families, and help AI understand vendor relationships.
Roles, Permissions & AI Provisioning
Use ERP access data to control what each AI user can see, ask, summarize, and export.
AP Risk & Duplicate Payment Review
Identify high-risk invoices, payments, approvers, vendors, departments, and possible duplicates.
Procurement & Contract Compliance
Map payments to contracts, flag thresholds, and monitor exceptions before AI summarizes spend.
Payroll & HR Finance Controls
Restrict sensitive payroll detail while allowing governed review of anomalies and trends.
Do not connect AI directly to messy ERP data.
Stage it through ThirdLine first. The better AI becomes, the more important the control layer becomes.
AI can be the workspace. ThirdLine is the ERP control layer.
AI platforms can deliver the conversational experience. ThirdLine makes the underlying ERP data clean, classified, permission-aware, risk-scored, and audit-ready.
Make your ERP data AI-ready.
Before your government connects AI to finance, accounting, procurement, payroll, audit, or reporting data, make sure the data is clean, classified, controlled, and permission-aware.