Operations and back office
Documents processed as they arrive.
Capability
Intelligent Document & Claims Processing
Turn Arabic and English paperwork into structured, checked, auditable data.
Straight-through processing rateCost and time per documentField-level error rateRework and exception volume
The service at a glance
The problem, our work, your result
- Business problem
Documents arrive faster than people can read them.
Invoices, claims, contracts and forms are keyed in by hand: slow, error-prone and impossible to audit at scale.
- What we do
We build document AI that reads Arabic and English documents, extracts the fields that matter, checks them against your rules and routes exceptions to people.
- What you receive
- Arabic and English extraction
- Validated, structured data
- Exception routing to staff
- Full audit trail
Who it is for
Built for the people who own the decision
Claims and finance teams
Faster cycles, fewer errors.
CFO and finance
Lower cost per document.
Risk, compliance and security
Every extraction traceable.
The goal: an AI-ready organisation
Where this service moves you
Data readyThis service
Connected, clean, governed and allowed for AI use.
KPIs readyThis service
Agreed measures, one definition each, a named owner.
Organisation ready
Roles, decision rights and skills to adopt AI safely.
=AI that reaches production and creates value
Approach
How we work with you
- 01
Sample
Study real documents and variations.
- 02
Extract
Build and train extraction models.
- 03
Validate
Apply your business rules.
- 04
Route
Send exceptions to the right person.
Engagement options
Start where you are
One document type
Prove accuracy on one flow.
Department roll-out
All documents in one function.
Enterprise document AI
Shared platform across functions.
Scope
What is in, what is not
Included
- Extraction models
- Validation rules
- Workflow integration
- Accuracy monitoring
Handled separately
- Scanning hardware
- Physical archive digitisation
Bilytica frameworks behind this service
Our own methods, not a generic playbook
DELIVER
All Bilytica frameworksAI Delivery Framework
A gated path from idea to live service, with evidence at every step.
See the frameworkTRUSTAI Assurance Framework
One control set that answers NIST, ISO 42001, the EU AI Act and the Saudi regulators at once.
See the frameworkIn short
What this actually is
Extraction, classification and validation across contracts, invoices, claims, KYC packs, medical reports and government forms, including handwriting and stamped Arabic documents. Every field carries a confidence score, and anything below the threshold is queued for a human rather than written silently into the system of record.
Key points
What matters before you buy
- 01
Arabic documents are the hard case
Ligatures, diacritics, mixed scripts, stamps and scanned faxes break generic OCR; the model has to be evaluated on your actual documents.
- 02
Confidence thresholds beat accuracy claims
The useful number is straight-through rate at your accepted error rate, not a headline accuracy figure.
- 03
Validation is where the value sits
Cross-checking a document against the master record catches the errors that cost money, extraction alone does not.
- 04
Auditable by construction
Source snippet, extracted value, confidence and reviewer are stored together for every field.
Delivery
How we build it
Foundation check
Before any buildWe inspect the systems, the data behind them and the quality of the records this capability will depend on, then write down what has to be fixed before anything is built.
Narrow first release
First releaseOne workflow, one team, real traffic, measured against the baseline we captured before we started.
Controls and evaluation
Runs in parallelGuardrails, approval gates, evaluation sets, logging and the evidence pack your auditor and your regulator will ask for.
Scale and hand over
After sign-offAdditional workflows, sites or languages, then runbooks and training so your team can operate it without us.
Data foundation
What has to be true in your data first
Great AI cannot hide bad data. These are the conditions this capability depends on, we fix them as part of delivery, not after go-live.
- A representative sample of real documents, including the ugly ones.
- The master records used for validation.
- A written policy for what a human must always review.
- Retention and residency rules for document images.
Controls
Guardrails we put around it
A human owns every consequential decision
Agents draft, route and execute reversible steps. Anything that moves money, changes a record of consequence or affects a person's rights stops at a named human approver with the reasoning attached.
Every action is logged and replayable
Inputs, retrieved context, model version, output and the human decision are written to an immutable log, so an auditor can reconstruct any single interaction months later.
Data stays where your regulator requires
In-country, in-region or on-premise deployment, with the model portfolio right-sized to the workload instead of routing everything to a frontier endpoint abroad.
Accuracy is monitored, not assumed
A held-out evaluation set runs on every model or prompt change, with drift alerts and a documented rollback path when quality moves.
Fit
Systems it plugs into, and what it moves
Integrations
SAPOracleMicrosoft Dynamics 365Core banking and insurance platformsHospital HISSharePoint / ECMe-invoicing gateways
KPIs it moves
- • Straight-through processing rate
- • Cost and time per document
- • Field-level error rate
- • Rework and exception volume
- • Cycle time to decision