How Do Companies Eliminate Paper-Based Workflows?
Companies eliminate paper-based workflows by digitising documents at the point they enter the business - through scanning, email or upload - and using Document AI to read, classify and extract the information they contain automatically. That data then flows directly into digital workflows and systems of record, so paper never needs to be manually filed, re-keyed or physically routed between people again. The result is faster processing, less physical storage, and a searchable digital record in place of filing cabinets and paper trails.
Why paper still holds so many businesses back
Even in organisations that consider themselves largely digital, paper has a way of persisting - supplier documents, application forms, delivery notes, signed contracts, handwritten logs. Each one usually still needs to be opened, read, manually entered into a system, physically filed, and retrieved again later by someone who has to remember where it went. It's slow by design, and it doesn't scale.
The cost of staying paper-based tends to show up in a few consistent ways:
- Processing times measured in days because a physical document has to move between desks or departments
- Storage and retrieval costs that keep growing as filing cabinets and archive boxes fill up
- Information that's effectively invisible to the business, unsearchable, and only as good as whoever filed it correctly
- Compliance and audit risk from paper records that can be lost, damaged, or hard to produce on request
How Document AI takes paper out of the workflow
- 01
Digitise at the point of entry
Paper documents are scanned or captured as soon as they arrive - at reception, in the post room, or from a supplier or customer - so nothing physical needs to travel through the business to be actioned.
- 02
Classify automatically
Document AI identifies what each document is - an invoice, a form, a contract, a delivery note - without anyone needing to sort or label it manually first.
- 03
Extract and structure the data
The system reads the relevant fields from each document and turns them into structured, usable data, regardless of layout, handwriting, or how the original was formatted.
- 04
Route into the right digital workflow
Structured data and digitised documents move straight into the correct process or system - approval, records management, customer service - based on what the document is and what it needs.
- 05
Store as a searchable digital record
Documents and their extracted data are stored digitally with full version history, so anyone with the right permissions can find what they need in seconds instead of searching a filing cabinet.
What this means in practice
- Documents processed in minutes instead of the days it can take for paper to physically move through a business
- A shrinking (or eliminated) need for physical filing, storage and archive space
- Every document searchable and retrievable in seconds, by anyone with access
- A complete, auditable digital trail for every document that enters the business
- Staff freed from filing, retrieving and manually routing paper to focus on higher-value work
Inpute's intelligent capture and workflow solution for luxury goods company Bulgari reduced paperwork volume by 85% and cut shipping and fulfilment processing times from an average of 4 minutes to under 1 minute.
How Inpute helps companies go paper-free
We design the capture and classification layer around the paper that's actually coming into your business today, using our partnerships with ABBYY, Microsoft, OpenText and UiPath, so you're not forced to overhaul every process at once to get started. For businesses receiving a steady flow of post, our Digital Mailroom solution captures incoming mail as soon as it arrives, then classifies it and routes it to the right team digitally, so letters and forms never have to be walked from desk to desk.
Going paper-free isn't a single migration project. As new document types or sources appear, the system is trained to recognise and process them, and we stay involved to extend capture and classification as your business changes, so the workflow keeps getting more digital, not just at go-live but over time.
Where this fits with the rest of your document workflow
Eliminating paper is often the foundation the rest of an automation strategy is built on. Once documents exist as structured digital data, businesses typically extend the same capture approach into invoice approval workflows, compliance and records management, and digital mailroom processing, so every document, wherever it originates, ends up in the same clean, digital pipeline.
Frequently asked questions
No. Most companies start with paper coming in going forward - new documents, forms and correspondence - and digitise historical records separately, if and when it's needed, rather than treating it as a blocker to getting started.
Yes, within limits. Handwritten forms, timesheets and similar documents can be captured and extracted, though accuracy depends on legibility. Where handwriting is inconsistent, the system flags it for a quick manual check rather than guessing.
It's more than scanning. Basic scanning creates a digital image of a document but leaves the information inside it unusable. Document AI reads that image, understands what it is, and turns it into structured data your systems can actually act on.
Documents that don't match an expected format or fail validation are flagged for a person to review, rather than being processed incorrectly, so accuracy isn't sacrificed for the sake of full automation.
A digital mailroom captures incoming post and documents, whether they arrive on paper or by email, and turns them into digital files that are automatically classified and sent to the right person or system. It removes the manual sorting, scanning and forwarding that slows paper-based processes down.
Document AI solutions we deliver
Document AI is often the logical first step in the enterprise automation journey. By intelligently reading, extracting and understanding data from documents, emails and other sources, you remove a major friction point for your team.
- How Can AI Help Businesses Surface Dark Data?
Locate and structure the content sitting unused across file shares, archives and legacy systems, so teams can search and question years of dormant documents.
- How Can Leasing Companies Automate Lease Contract Review?
Extract lease terms, rent schedules and covenants from long agreements automatically, with a human validating every field before it reaches the CRM.
- How can finance teams reduce repetitive admin?
Capture data from invoices, expense claims and statements automatically, then validate and route it so staff only review what genuinely needs a decision.
- How Can AI Reduce Manual Document Processing?
Read and understand documents the way a person would, turning them into structured data automatically and passing only genuine exceptions to a reviewer.
- How do organisations automate compliance workflows?
Classify documents on arrival, apply retention and access rules automatically, and keep a timestamped audit trail that holds up when evidence is requested.
- How can councils digitise document-heavy processes?
Capture applications, forms and correspondence however they arrive, then extract and route the data into case management systems without manual keying.
- How Do Manufacturers Automate Invoice Approvals?
Capture invoices in any format, match line-item data against purchase orders and delivery records, and route them through pre-set approval workflows.
See how this would work for your paper-based processes
Get in touch for a free, no-obligation walkthrough of what going paper-free could look like for your business.
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