Every organisation considering AI for document processing faces the same question: will it work with our documents and our business processes?
The answer does not come from vendor demonstrations using sample files. It comes from testing with your own content in a controlled, measurable way.
The Content AI pilot program is a structured, low-risk evaluation that lets you validate AI capabilities against your real workflows, business rules and governance requirements before production deployment. It is designed to be lightweight and time bound with clear outcomes. Where the pilot demonstrates value, we can scope a Statement of Work if you decide to take the next step.
- Validate AI performance on your documents, not sample data.
- Measure accuracy, confidence and review effort that reflect operations.
- Agree governance guardrails up-front and test them in practice.
- Finish with clear outcomes and a scoped pathway to production.
The problem with generic AI demos
Most AI demos look impressive because they run on clean examples. Real collections are different. Forms evolve, templates change and scanned quality varies across years, devices and sources. Small variations such as handwriting, stamps, annotations, skew, tables and multi-generation photocopies can materially change extraction quality and downstream handling effort.
This does not mean AI is not viable. It means performance must be proven using representative documents and realistic controls rather than assumed based on a demonstration.
Authentic complexity
Real collections include handwriting, low quality scans, annotations, tables and multi-generation photocopies that sample files rarely capture.
True performance measures
Testing with your documents produces accuracy rates and processing effort that better predict production performance.
Edge cases surface early
Outliers appear in every collection. A pilot surfaces them early so they can be controlled before scale.
What the Content AI pilot program is
Our Content AI pilot program is a collaborative evaluation that runs using your own documents, business rules and workflow context. It is designed to answer practical questions: what can be automated safely, what requires review, what exceptions matter and what controls are needed to meet governance expectations.
Why collaboration matters
AI outcomes depend on context as much as technology. Your team knows what good looks like, what exceptions matter and where risk sits in the process. We provide the platform, configure the evaluation environment and run testing in a controlled way so results are measurable and repeatable.
What Fujifilm DMS provides
An established platform for governed content processing, experience in regulated environments and resources to configure, run and report on the pilot.
What you provide
Representative documents and the workflow context that defines success, risk thresholds, review requirements and exception handling.
What you get
Evidence based results and a clear view of where AI helps, what still needs oversight and what controls are required to scale.
The four step engagement process
The pilot follows a structured process that keeps scope controlled while providing enough depth to make decisions with confidence.
We review the document types you handle, where effort and risk sit today and which workflows are the best candidates for a pilot. We also align on what should be measured so success is clear. By the end of the session, we agree the most practical pilot use case and how ‘good’ will be measured.
We confirm scope and success criteria then agree governance guardrails, access boundaries and security protocols so the pilot can run safely and consistently. This step also clarifies ownership, access and responsibilities before testing begins.
We work with subject matter experts to understand variability, define what should be validated and identify edge cases. We confirm the document sample set, group key exceptions and finalise validation and review rules so results reflect real processing conditions.
We run sprint-based testing using your documents in a controlled environment, review results as we go and report outcomes clearly including what performed well, what required review and what controls are needed to scale. Each sprint produces measured outcomes, exceptions and recommended controls, not just an overall accuracy score.
What you receive from the pilot
Operating pilot environment
A clear summary of outcomes, performance and review effort, including what worked, what required control and what needs refinement. This is designed to support internal decision making and not just vendor reporting.
Summary report
A clear summary of outcomes, performance and review effort, including what worked, what required control and what needs refinement.
Statement of Work
If the pilot demonstrates value and you choose to proceed, we can produce a scoped Statement of Work that sets out how the validated approach can be scaled into your operational environment.
Security and data protection
Sharing documents for evaluation requires confidence in security. The pilot can be aligned to governance requirements for regulated environments including Australian data sovereignty, access control and segregation.
Australian data hosting
Pilot data is hosted in Australia.
Segregated environments
Segregation controls with defined access boundaries and least privilege principles.
Encryption and retention
Encryption at rest and in transit with defined retention policies and lifecycle controls.
Model use controls
Configured so customer content is not used to train models.
ISO certified operations
Independently certified to ISO 27001:2022 and ISO 9001:2015.
Defined responsibilities
Responsibilities, access boundaries and data handling rules defined up front for transparency.
Core capabilities available during the pilot
The pilot is designed to test capabilities that matter in real operations. Scope will vary by use case, document set and governance requirements but evaluation commonly includes the areas below.
Content classification
Document type detection and routing rules to support triage and workflow handling.Full page text extraction
OCR and layout aware extraction across printed content, forms and tables.Handwriting support
Extraction approaches suited to handwriting where appropriate for the document set.Key field extraction
Targeted extraction of fields and values with confidence scoring and validation rules.Intelligent content analysis
Entity detection and content signals to support review and governed decision making.Confidence led validation
Thresholds and review rules so low confidence items are routed for checking.PII redaction and masking
Optional masking and redaction controls to support privacy requirements where in scope.Document conversion
Outputs including searchable PDF and PDF/A where required.Data transformation
Structured outputs such as JSON or XML to support downstream handling where in scope.Auditability and traceability
Logged processing steps and review actions to support assurance and governance reporting.Exception handling
Controlled handling of outliers and unusual formats so edge cases do not derail operations.Reporting on outcomes
Transparent reporting on accuracy, review effort and improvements observed during the pilot.Is the pilot program right for you
The pilot is designed for organisations that want evidence before investment and need confidence that AI outcomes will be governed, repeatable and auditable.
- You have document volumes or complexity that make manual review costly or slow.
- You operate in a regulated or high assurance environment where traceability matters.
- You need confidence scoring, validation rules and exception handling that reflect real processing conditions.
- You want a clear pathway to implementation without committing upfront.
Take the first step
The best way to know if AI will work for your documents is to test it with your documents. Start with an assessment workshop to confirm the best use case and success criteria.
Request an assessment workshopCommon questions
How is this different from a demo?
A demo typically uses sample files and ideal conditions. The pilot uses your documents and governance requirements so you can measure outcomes that reflect real processing conditions including accuracy, confidence scoring, review effort and exception handling. This gives you evidence you can rely on before scaling.
Do we need to commit to a deployment?
No. The pilot is designed to validate fit and outcomes with minimal risk. If the pilot demonstrates value and you choose to proceed, we can scope a Statement of Work that outlines how the validated approach can be scaled into your operational environment including controls, effort and next steps.
What do we need to provide?
You provide representative documents and the workflow context that defines what good looks like, including business rules, review requirements and governance constraints. We provide the pilot environment, configuration, controlled testing and reporting so results are measurable and repeatable.
Where does the pilot run and how is data handled?
The pilot is hosted in Australia with data protected using controls such as encryption in transit and at rest, segregation controls and least privilege access. Retention and handling rules are agreed up front as part of the pilot guardrails. The environment is configured so customer content is not used to train models and does not influence outputs for other organisations.
