Autonomous KPI Reporting & AI Narratives

A reporting workflow that combines payment, customer, lead, and support data into a decision-ready HTML report. Financial calculations reconcile against the ledger, operational KPIs remain repeatable, and AI narrates only locked metrics.

MOCK DATA NOTICE

Every payment, company, customer, lead, support ticket, and benchmark period is synthetic demonstration data.

PROOF OF WORK

• 500 complete metric calculation runs

• 100% identical metric snapshots

• €14,950 gross revenue and €300 refunds

• €14,650 reported net revenue

• €14,650 independent ledger sum

• €0.00 reconciliation difference

• 7 automated tests passing

AUTONOMOUS AI PROOF

The live model grounded 186/200 narratives correctly by itself. A numeric verifier detected 14 unsupported narratives and replaced them automatically with verified deterministic statements. The complete system published 200/200 grounded narratives, including 100/100 numeric edge-case periods, with 0 human approvals.

The final 100% result belongs to the verified system, not the model alone. AI never calculates KPIs or chooses arbitrary facts: it receives locked metrics and the deterministically detected primary anomaly.

HOW IT WORKS

Payments, customers, leads, and ticke. s schema loader. decimal financial math and KPI rule. independent ledger reconciliation. HTML/JSON repor. grounded AI narrative. numeric verification or automatic replacement.

REPRODUCE THE EVIDENCE

The repository includes four labeled mock datasets, all 200 publication decisions, benchmark JSON, a generated report, seven tests, scheduling guidance, and CI checks.

Repository: https://github.com/Milo318/automated-business-reporting-poc