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Data extraction

Data validation

Workflow automation

Overview

Pedant

Overview

Pedant is an intelligent document processing (IDP) platform that streamlines financial document management, including invoices, delivery notes, and bank cheques. It leverages artificial intelligence (AI) to automate data extraction, classification, and verification from such documents.

By transforming manual document handling into a streamlined digital workflow, Pedant reduces operational costs, speeds up processing times, and minimises errors. It is an indispensable tool for any business looking to optimise its transactional workflow.

Problem Statement

Processing financial documents like invoices, cheques, and delivery notes is a critical function in business operations, but it is often plagued by inefficiencies, errors, and high costs. Traditional methods involve manual data entry, cross-verification, and extensive paper trails, leading to:

Delayed payments and cash flow issues

Increased risk of human error
High operational costs
Inefficient use of human resources
Excess time spent on manual processing

To address these challenges, we aimed to develop Pedant - a comprehensive, automated document processing solution.

Key Objectives

Build a system to automate document digitisation and data extraction.
Use machine learning (ML) algorithms to improve data accuracy and compliance with invoice fraud detection and duplicate checking.
Enhance account processing efficiency, reduce financial discrepancies, and accelerate payment cycles.

Automating data extraction

How Pedant works

Through our digital venture building approach, ADNOC didn't just develop functional solutions, but achieved optimal business performance.

Upload financial documents

Easy bulk upload of pdf documents and e-invoices via email forwarding and API

Processing and extraction

Pre-trained and continuously evolving Machine-Learning model extracts document details such as invoice-number, date, amount, and line items

Validate

Pedant uses AI to automate validation against predefined rules, formats, and databases. It identifies and flags discrepancies, such as missing tax numbers or IBANs

Export

Effortless data export in preferred format. Pedant’s developer interface provides API endpoints for seamless integration with ERP and accounting platforms

Upload financial documents

Easy bulk upload of pdf documents and e-invoices via email forwarding and API

Processing and extraction

Pre-trained and continuously evolving Machine-Learning model extracts document details such as invoice-number, date, amount, and line items

Validate

Pedant uses AI to automate validation against predefined rules, formats, and databases. It identifies and flags discrepancies, such as missing tax numbers or IBANs

Export

Effortless data export in preferred format. Pedant’s developer interface provides API endpoints for seamless integration with ERP and accounting platforms

Upload financial documents

Easy bulk upload of pdf documents and e-invoices via email forwarding and API

Processing and extraction

Pre-trained and continuously evolving Machine-Learning model extracts document details such as invoice-number, date, amount, and line items

Validate

Pedant uses AI to automate validation against predefined rules, formats, and databases. It identifies and flags discrepancies, such as missing tax numbers or IBANs

Export

Effortless data export in preferred format. Pedant’s developer interface provides API endpoints for seamless integration with ERP and accounting platforms

Approaching the challenge

Building Pedant from scratch

We implemented our venture building model to develop a roadmap for the platform

Market research

We conducted in-depth market research through client interviews and surveys to identify common pain points and workflow issues in invoice processing

Market research

We conducted in-depth market research through client interviews and surveys to identify common pain points and workflow issues in invoice processing

Market research

We conducted in-depth market research through client interviews and surveys to identify common pain points and workflow issues in invoice processing

Design and prototyping

Created prototypes for the user interface and workflow. Gathered feedback from potential users to iteratively refine the platform

Design and prototyping

Created prototypes for the user interface and workflow. Gathered feedback from potential users to iteratively refine the platform

Design and prototyping

Created prototypes for the user interface and workflow. Gathered feedback from potential users to iteratively refine the platform

Technology stack assessment

After assessing project requirements, team expertise, scalability, speed, cost, and integration, we selected a technology stack for further development

Technology stack assessment

After assessing project requirements, team expertise, scalability, speed, cost, and integration, we selected a technology stack for further development

Technology stack assessment

After assessing project requirements, team expertise, scalability, speed, cost, and integration, we selected a technology stack for further development

Integration and testing

Developed APIs for seamless integration with popular ERP and accounting systems, and conducted extensive testing to ensure reliability and performance

Integration and testing

Developed APIs for seamless integration with popular ERP and accounting systems, and conducted extensive testing to ensure reliability and performance

Integration and testing

Developed APIs for seamless integration with popular ERP and accounting systems, and conducted extensive testing to ensure reliability and performance

Deployment and launch

Deployed the solution on AWS for scalability and security, then conducted a phased rollout, starting with a pilot group to gather feedback before full launch

Deployment and launch

Deployed the solution on AWS for scalability and security, then conducted a phased rollout, starting with a pilot group to gather feedback before full launch

Deployment and launch

Deployed the solution on AWS for scalability and security, then conducted a phased rollout, starting with a pilot group to gather feedback before full launch

Accelerated growth