Extract Data from Documents Using AI and Automation

The Challenge

Why Document Work Is Slow

Invoices, forms and contracts arrive in many formats. Typing their contents into systems takes time and causes errors.

Manual Keying

Staff retype information from documents.

Errors

Typing mistakes cause rework and delays.

Backlogs

Documents pile up at busy times.

Many Formats

Each supplier or customer uses a different layout.

Is This Relevant?

Is This Use Case Relevant to Your Organization?

The people, moments and signals that usually bring this need to the surface.

Relevant Teams

Finance and accounts payable
Operations and administration
IT and automation teams

Common Triggers

Growing document volumes
Backlogs and late payments
A wider automation program

Warning Signs

Staff typing from PDFs and scans
Frequent data entry errors
Backlogs at month end

Typical Environments

Invoices, forms, contracts and other business documents
Business applications that receive the data

Benefits

What Better Looks Like

Intended benefits. Actual results depend on your environment and starting point.

Automatic Extraction

Key information captured by AI.

Fewer Errors

Checks that catch mistakes early.

Faster Processing

Documents processed in minutes, not days.

People on Exceptions

Staff review only what needs attention.

Our Approach

A Practical Approach

One process at a time, measured before and after. Each stage is tailored to your environment.

Assess

Review the process, document types, volumes and systems involved.

Prioritize

Rank what you find by business impact, effort and risk, and agree where to start.

Design

Agree the workflow, extraction rules and exception handling.

Implement

Configure extraction, workflows and integrations.

Validate and Optimize

Test accuracy and processing times with real documents.

Solutions

Solutions That Can Help

The solutions that address this use case, starting with the primary one.

Primary solution

AI-Powered Document Processing and Workflow Automation

Automation that reads documents, extracts the information that matters and moves work through digital approvals.

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Enterprise AI Adoption and AI Readiness

A planned approach to adopting AI: choosing the right use cases, preparing data and putting guardrails in place.

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Services

How Signisys Can Support You

The services that deliver the approach, from the first assessment to ongoing improvement.

Primary service

DevOps, Automation and Modernization

Accelerate software delivery, automate IT operations, and modernize applications and infrastructure for greater agility and reliability.

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Related service

Data, Analytics and AI

Transform business data into actionable insights and enable responsible AI adoption to improve decision-making and productivity.

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Technology

Technology Options

Where technology fits in the approach. Specific platforms and partner status are confirmed for each engagement.

Document AI

Services that read and extract information from documents.

Workflow Platforms

Tools for routing work and approvals.

E-Signature

Electronic signatures for agreements and approvals.

Before You Start

What to Consider Before Getting Started

A little preparation makes the first assessment faster and its findings more reliable.

Document types and volumes
Accuracy needed for each field
Systems that receive the data
How exceptions are reviewed
Who will own the work and act on recommendations
Engagement model and ongoing support

Measuring Success

How to Measure Success

Illustrative measures. Agree a baseline first, and keep targets separate from measured results.

Processing Time

Time from receipt to completion.

Extraction Accuracy

Fields extracted correctly.

Manual Touches

Documents needing human handling.

Backlog

Documents waiting to be processed.

Our Approach

How We Deliver Results

How Signisys works, from the first assessment to handover and beyond.

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A Defined Methodology

Every engagement follows the Signisys delivery methodology, with agreed stages, checkpoints and handover.

Agreed Baseline

Each engagement records your starting point first, so progress is measured against where you began.

Skills Matched to the Work

Each engagement is staffed for the platforms and skills in scope, agreed with you during planning.

Clear Success Measures

Success measures are agreed at the start and reviewed with you at every checkpoint.

FAQs

Frequently Asked Questions

Common questions about this use case.

Which documents are good candidates for automation?

High-volume documents with consistent information, such as invoices, forms and orders, usually give the quickest benefit.

What happens when the AI is unsure?

Low-confidence results are routed to a person for review, so accuracy is maintained.

What information is needed to get started?

Sample documents, monthly volumes, the fields you need, the systems that receive them and current processing steps.

Which environments does this apply to?

Common business documents and the applications that receive their data.

How is progress measured?

Agree a baseline for measures such as processing time, extraction accuracy, manual touches and backlog, then track them over time.

Related Outcomes, Use Cases and Guides

Where to go next: the outcome this use case supports, nearby scenarios, technology partners and practical guides.

Business Outcome

What Causes Manual Document Data Entry? Common Problems and Warning Signs

Coming soon

How-To Guide

How to Extract Data from Documents Using AI and Automation: A Practical Step-by-Step Guide

Coming soon

Checklist