Document Automation with AI
Project Duration: 60 days Customer Company Size: 120 employees Industry: Tourism YEAR: 2023Project Objective
The objective of the project was to implement a document automation process for physical/digital invoices and receipts to achieve a high rate of automation.
Approach / MethodologiesAnalysis of the existing receipt process, the proposal of a scalable IT architecture, selection of the most efficient AI methods (Microsoft Vision API, GPT 3.5), and implementation through Robotic Process Automation tools (Make.com)
Project ResultsAutomation degree of the receipt process of 96%. The remaining 4% of the receipts still need to be manually processed, however, during the pilot phase, there were hardly any errors in detection and data extraction.
Vendor Selection – Data and Analytics Platform
Project Duration: 160 days Customer Company Size: 23.000 employees Industry: Oil & Gas YEAR: 2020Project Objective
To select an implementation partner for building a Data and Analytics Platform based on Microsoft Azure Data/AI Services and provide project support in the initial phase.
Approach/MethodologyAnalysis of the company’s existing data infrastructure (a large corporation with a heterogeneous and evolving tool landscape). Selection of relevant business use cases, identification of relevant IT infrastructure components, and assistance with vendor selection.
Project ResultsAnalysis of the company’s existing data infrastructure (a large corporation with a heterogeneous and evolving tool landscape). Selection of relevant business use cases, identification of relevant IT infrastructure components, and assistance with vendor selection.Successful enterprise-wide implementation of a Data and Analytics Platform based on Microsoft Azure components.