Our core service delivery areas supporting information management and communications.
Targeted solutions supporting specific communication, digitisation and automation needs.
SMS and MMS delivery for notifications, alerts and customer messaging
Online forms and data capture for approvals and workflow integration
Transactional and operational email delivery with reporting controls
Transform paper-heavy processes into structured, searchable digital records
Secure conversion of physical records into structured, searchable digital files
High-volume print production and mail fulfilment services
Secure online access to digitised records and correspondence
AI‑driven document understanding with governance and control
AI-assisted document classification and data extraction
SMS delivery integrated with Okta for authentication and verification
High-volume mobile messaging for political engagement
Industry-specific solutions supporting secure communications, digitisation and compliance.
Secure communications and records digitisation for government
Compliant communications and document workflows for financial services
Claims digitisation and customer communications for insurers
Billing, notices and customer communications for utilities
Digitisation and service communications for transport authorities
High-volume communications and workflow support for telcos
Student communications and digital forms for education providers
Secure document workflows and communications for healthcare
A practical guide to understanding where project-based digitisation fits and when ongoing document processing is more appropriate for paper, archive and inbound document workflows.
Project-based digitisation and ongoing document processing support different document handling needs. Some organisations have existing paper records, files or archive material that need to be digitised as a defined body of work. Others need documents handled as they arrive as part of an ongoing operational workflow, sometimes in a day-forward processing model.
The distinction matters because the inputs, outputs, controls and turnaround expectations are different. This page explains where project-based digitisation fits, where ongoing document processing is more appropriate and what to consider before scoping the right approach.
A project based digitisation engagement is best when you have a defined set of records to convert, preserve or make more accessible for ongoing use.
Project-based digitisation often begins with a practical trigger usually tied to access, storage, preservation or a defined archive outcome. These are often the main drivers where older collections still hold operational, historical or future reuse value.
Make older records easier to find, retrieve and use across teams. This is often a key driver where archived files are difficult to access, stored across multiple locations or slowing down service, review or response times.
Lower the burden of storing, retrieving and managing physical files. This can help reduce on-site storage pressure, cut warehousing and retrieval costs and reduce the manual effort involved in handling paper records.
Protect valuable or ageing records while making them more usable over time. This is especially relevant where collections need to be retained for long periods, preserved in a more durable format or made easier to access without repeated handling of the originals.
Ongoing document processing is best when documents keep arriving and they trigger business activity. It is usually delivered as an ongoing service with agreed service levels, controls and reporting.
Use these questions to decide which service model fits.
This usually points to a project.
This usually points to ongoing processing.
Often a project.
Often ongoing processing.
Project outputs are often sufficient with good naming and indexing.
Ongoing processing is often needed when documents trigger tasks, decisions or customer responses.
These factors matter whether you run a project or an ongoing service.
Handling and chain of custody
Multiple teams rely on the same record set and need consistent structure
Output standards
Agree file formats, naming rules and index fields early. This avoids rework and supports long term retrieval, preservation and downstream use.
Quality checks
Quality checks should match how the information is used. Higher consequence use cases need stronger checks and clearer exception handling.
Security and governance
Set clear access controls, retention expectations and delivery packaging requirements so the work holds up to scrutiny.
Start with a simple, well-defined approach. Clear output standards and quality checks support both digitisation projects and ongoing document processing.
Fujifilm DMS can embed automation and AI in the workflow at the right depth from text extraction and searchable PDF outcomes through to document identification and classification, structured capture, summarisation where useful, and routing. This can reduce manual sorting and rekeying, improve turnaround times, support faster triage of incoming content and produce more consistent outputs across higher volumes.
Keep scope under control by testing on a representative sample. Agree outputs, checks and exception handling. Validate any Content AI requirements through a pilot before scaling.
Scanning is usually the conversion step. A project-based digitisation engagement can include scanning plus agreed naming, indexing, quality checks and output packaging so the files are consistent and ready for use.
When documents keep arriving and teams need them handled consistently as part of day to day operations. This is common when documents trigger actions, decisions or customer responses.
Inputs can include paper received by box, courier or onsite collection, emails sent to a receipting address, files uploaded via a portal and submissions from online forms.
Start with the outcome you need. Common outputs include searchable PDF where useful, PDF/A where required and an index file such as CSV or XML with agreed fields.
Many ongoing workflows run well with clear standards and practical rules. Where it helps, we can also apply automation and AI to make processing faster and more consistent including for straightforward work like better text extraction and cleaner searchable outputs. The main advantages are less manual sorting and rekeying, fewer avoidable errors, quicker turnaround and more consistent outputs across higher volumes. We scale the level of automation to the outcome and keep review and exception handling in place where it is needed.
Start with a records assessment to confirm what you have, how it arrives and how the outputs will be used. Then run a defined sample using representative documents and agree the output standard, indexing fields and quality checks up front. If you want to test automation or Content AI, use the Content AI pilot program to validate what works on your documents in a controlled way before you scale.
Yes. Some organisations begin by clearing a backlog as a project and then shift into ongoing processing once the steady inbound flow is understood.
If you are not sure which model fits, start with a short assessment. We will ask about your current volume, the mix of document types, how teams need to use the outputs and whether the work is time bound or continuous.
Fujifilm DMS can support any industry that needs to communicate frequently with customers across multiple channels, physical or digital. Whether you’re sending or receiving information or engaging with customers online, we’re here to help.