Credit Assistant
From documents to a clear application. An assistant for Italian salary- and pension-backed loans: it organises data, explains criteria and supports the operator through to the final dossier.
AI reads. Rules evaluate. People decide.
A workspace that turns scattered documents into verifiable data and readable comparisons. Operators follow the application, check sources and choose the next step in one place.
Guided demo with simulated cases, responses and outcomes. The OCR step includes a real, already anonymised platform extraction. Edit the fields to see how the comparison changes. No new documents are analysed.
Who it is for
For credit agencies, brokers and operator networks working with Italian cessione del quinto and delega di pagamento, who need one place to organise documents, criteria and checks.
What it simplifies
Reduce retyping and switching between PDFs, spreadsheets and messages. Each value has a source, each outcome has a reason and important changes require the operator’s confirmation.
Upload the documents. Work with the extracted data.
- 01
Upload the documents
Payslips, salary certificates, identity documents and supporting materials enter the application.
- 02
OCR extracts the data
The platform reads the documents and fills the fields. All 123 original entries populate the demo fields, with uncertain data to review before outcomes.
- 03
Review and compare
The operator confirms the data and completes missing fields. The platform compares it against company criteria, explaining each outcome.
- 04
Explore a scenario
The conversation supports the workflow. A proposal changes the application only after explicit confirmation.
- 05
Prepare the dossier
Verified data, comparisons and a summary can feed into a document for the next step.
See the document-reading step inside the demo: extracted data, fields to check and the platform’s original OCR output.
See OCR and extracted data in the demo →Explore the platform’s workflow.
123 populated entries
Values, missing fields and document references from the original extraction.
STEP B ↗Uncertain data review
Three uncertain readings and two missing fields require operator review.
STEP C ↗Outcomes after confirmation
The comparison uses confirmed values; an edit invalidates earlier outcomes.
STEP D ↗Renewal scenario
A proposal changes the instalment and term, requiring a new confirmation.
What you can do
- Assisted reading of payslips, salary certificates, identity documents and application materials, with document and page references.
- A data review sheet highlighting missing fields, with corrections and confirmation before comparison.
- Criteria kept separate from the conversation: source, version, compared value and threshold visible for each company.
- Explained green, amber and red outcomes with remaining tasks. Results support the review process and are not a lending decision.
- Renewal scenarios and instalment or term proposals applied only after an explicit operator choice.
- A summary dossier and an administration area with counters, limits and access suspension, illustrated in the demo.
The operator’s workflow
Start with the application documents. The operator reviews proposed values, fills in missing information and compares outcomes by company. They can explore a different instalment and term, explicitly apply the proposal and prepare a summary dossier.
An assistant for Italian salary-backed loans: document reading, data review, explained criteria and a final dossier. Explore the SABIA LABS demo.
An application, from intake to dossier.
Follow the English walkthrough: load the saved extraction, review uncertain fields, confirm the data and compare outcomes. Applying a chat proposal requires a new confirmation. Runtime 2:26, with English on-screen text and optional English captions.
Designed around the operational workflow.
Controlled sources
Criteria change. The workflow includes review and confirmation of updated sources before use: having a model read a document is only one step.
Operations and administration
The operator area, application workflow and administration dashboard serve different roles. The demo illustrates usage, example costs and access suspension, including on a phone.
Data and accountability
Roles, access, retention and audit requirements are scoped around the customer’s process. Operational use requires approved sources and validation of the rules with the people responsible for review.
Operator support
Extraction proposes values to review and the comparison highlights remaining tasks. Operators can return to a source, correct a field and assess a scenario before proceeding.
A foundation that can grow with your organisation.
Modules to assess separately against your process and existing systems. These are potential developments, not operational demo features.
- Salary-deduction calculations and additional scenarios.
- Second approval and operator-network workflows.
- CRM, management software and banking connections.
- APR and disclosure documents subject to validation.
- Document consistency and fraud-review support.
- Extensions to other lending products.
From your process to a custom workspace.
Start with the documents, criteria and roles in use. Agree the fields to extract, authoritative sources, approval steps and tests on representative cases. Scope, integrations, timing and costs are defined in the quote.