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Pharma verified Verified Outcome TRL 9

Cognitive Capture for Multi-Language Invoices

domain Client: A global shared services organization handshake Provider: Automation Anywhere / IQ Bot schedule Deploy: Q4 2019 (Expansion)
90 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Processing invoices from 100+ countries in dozens of languages, the firm deployed cognitive RPA. The bots use computer vision and NLP to extract data from varied invoice layouts (Chinese, Russian, etc.) without pre-defined templates, feeding the data directly into SAP for payment processing.

rate_review Analyst Verdict

"Overcoming the 'Template Trap'. Legacy OCR required a template for every vendor. Cognitive capture learns. This allows GBS organizations to centralize AP for complex language regions (APAC/LATAM) that were previously left to local teams."

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

warning The Challenge

Centralizing AP was stalled by language barriers and document variety. Creating templates for thousands of small vendors was unfeasible. Manual keying was required for non-standard languages.

psychology The Solution

Deployed IQ Bot (Cognitive Automation). The system learns to identify 'Total Amount' or 'Tax ID' based on visual context, regardless of language. It handles fuzzy logic. High-confidence data goes straight to SAP; low confidence goes to a human validator.

settings_suggest Technical & Deployment Specs

Integrations
SAP
Deployment Model
On-Prem / Cloud
Data Classification
Financial
Estimated TCO / ROI
Medium
POC Summary (2018-01-01 to 2019-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Confidence Thresholds Medium Conservative tuning to avoid payment errors.
Exception Handling Medium Clear workflows for human-in-the-loop.

trending_up Impact Trajectory

Audited value realization curve

Support for >20 languages Verified Outcome
Primary KPIReduction in manual keying hours
Audit CycleImproved accuracy on unstructured documents

policy Compliance & Gov

  • Standards: Internal Control
  • 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 global shared services organization without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-927
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-927

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