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Tech / F&A verified Verified Outcome TRL 9

Autonomous Finance (Self-Driving AP)

domain Client: A major enterprise software company handshake Provider: Workday schedule Deploy: Q4 2021 (Internal Case)
92 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

Drinking its own champagne, the company uses its ML-driven finance module to achieve a 'zero-day close'. The system continuously matches transactions, detects anomalies, and reconciles accounts throughout the period, rather than waiting for month-end, creating a continuous accounting cycle.

rate_review Analyst Verdict

"The future of finance. Moving from periodic batches to continuous, event-driven accounting. By using ML to anomaly-detect in real-time, the 'close' becomes a non-event. High confidence because they are the vendor and the user."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Traditional month-end close is stressful and labor-intensive. Errors found on Day 30 delay reporting. Finance teams spend time reconciling rather than analyzing.

psychology The Solution

Implemented Workday Financial Management with ML. 'Journal Insights' detects anomalies in real-time. 'Intelligent Customer Payment Match' automates cash app. The books are effectively 'soft closed' every day.

settings_suggest Technical & Deployment Specs

Integrations
Workday
Deployment Model
SaaS
Data Classification
Financial
Estimated TCO / ROI
Low (Internal)
POC Summary (2020-01-01 to 2021-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Model Transparency Low Explainable AI features for auditors.
Data Integrity Medium Continuous control monitoring.

trending_up Impact Trajectory

Audited value realization curve

Zero-day close capability Verified Outcome
Primary KPI100% automation of routine journals
Audit CycleReal-time visibility into financials

policy Compliance & Gov

  • Standards: SOX
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Financial

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A major enterprise software company without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-930
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-930

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