Bank statement analysis, document verification and risk flags, evaluated on loan files you choose, with where the work runs agreed first.
Prefer email? hello@azitalabs.com, subject “Workload evaluation: NBFC”
Your credit teams want AI to read bank statements, verify identity documents and flag risks before disbursal. Your data policy and your lending partners' terms keep borrower data where you control it, and most tools send it to outside servers. So verification stays manual or shadow IT fills the gap, and disbursal waits on the queue.
An example workflow
Bank statements are read for income and obligations before every disbursal. An evaluation could run loan files the credit team selects and compare the extracted figures and flags with the analysts' own, and the total cost.
An example workflow
Field verification reports arrive as photos and handwritten forms. An evaluation could run a sample the risk team selects where RBI rules and the firm's policy allow, and let its officers judge the results.
An example workflow
Call notes and repayment histories are summarised before each follow-up. An evaluation could summarise a sample of closed accounts and set the team lead's review next to the total cost.
Your credit team selects which loan files take part, and how samples are handled is agreed before the evaluation starts.
Ask for the compliance pack to see how location, access and custody are set out, before you release any borrower data.
Your credit and risk teams grade the output on loan files you choose. If it does not meet their criteria, nothing changes.
Run your workload on capacity from Azita’s installations. Scope the workload and data requirements.
Discuss your workload on the fleetScope the room and workload together. Azita designs, installs and commissions the deployment.
Discuss an installation in your buildingWhere the work runs, which models are used, who has access and how long anything is kept are agreed in your proposal before any work starts. For how location, access and custody are set out, ask for the compliance pack.
Agree a representative job and the acceptance criteria. Compare the output, turnaround, data requirements and total cost before deciding.
Available to evaluate on your own workload.
On the Azita fleet, or on an installation in your building.
We'll review what you need to run and contact you to discuss the right setup.
There is no price list. Your proposal states what is being quoted, the commitment and what is included. Human review, software licences and integration are listed wherever they apply.
Add what you pay for today. It travels with your enquiry as a note, so the comparison starts from the same work.
Prefer to read first? How pricing works
On an installation in your own building, the work runs in a room of that building. On the Azita fleet, it runs in a building named in your agreement. Where the work may run is set in your agreement before any work starts.
How location, access and custody are set out for an Azita deployment, written for your auditors to review. Ask for it before you release any borrower data.
Your credit and risk teams grade the output on loan files you choose to release, against criteria they set. If it does not meet them, nothing changes.
The cases, where they are processed and how they are handled are agreed before the evaluation starts. You choose what to release.
Proposal based on your workload and deployment. It states what is being quoted, the commitment and what is included, and lists human review, software licences and integration wherever they apply. There is no price list. An installation in your own building is its own agreement, separate from hosting capacity for others.
Exit, removal and how borrower data is handled at the end are set out in your agreement before you sign.
Related
Regulated sectors
AI for data your rules keep on your premises, with the compliance pack first.
The page for every kind of work in this group, and how an evaluation works.
Read
Also for
Bank
KYC checks, loan document processing and fraud review, on an installation in your own premises or the Azita fleet. Evaluate on cases you release.
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Also for
Fintech product
KYC extraction, statement parsing and fraud checks on right-sized models, tested on your evals. Compare accuracy, latency and total cost first.
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Tell us your sector, where the data must stay and what your auditors need to see. We agree a representative job and how samples are handled before the evaluation starts.
Arrange a workload evaluation