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Financial Services

Banks, insurers, brokers and finance teams handle large volumes of documents and strict checks. AI can help read and check documents, guide customers through onboarding and prepare routine reports, while people approve the key decisions.

These are possible applications based on common challenges, not a list of past clients. Where we run a similar working system, we show it.

1

Common challenges

  • Customer documents are checked by hand, which is slow and easy to get wrong.

  • Onboarding new customers involves many forms, follow-ups and missing documents.

  • Routine reports are put together manually from several spreadsheets and systems.

2

Possible AI solutions

  • Document checks

    Key details are read from IDs, statements and invoices and checked for missing or inconsistent information.

    Business Process Automation →
  • Onboarding assistant

    An assistant that explains what is needed, collects documents and reminds customers about missing items.

    Customer Service Automation →
  • Reporting automation

    Data from your systems is combined into regular reports and dashboards, with alerts for unusual items.

    Business Data & Insights →
3

How it could work

  1. A customer uploads their documents through a secure link or portal.
  2. Key details are read and compared with the application form.
  3. Missing or unclear items are flagged, and the customer receives a reminder.
  4. A team member reviews the file and approves the next step.
4

Systems it may connect to

  • Banking, insurance or accounting system
  • Customer portal
  • Document storage
  • Email or WhatsApp
  • Spreadsheets and reporting tools
5

Things to consider

  • Regulatory and compliance requirements must be reviewed before any customer data is processed.
  • Final approvals and risk decisions should stay with qualified staff.
  • Every automated step should be recorded so it can be checked and audited later.
6

See something similar

No verified case study is published for this industry yet.

Masarif Masarif · Dashboard F Masarif October overview · Household Upload receipt Oct 2026 Income $6,420 +4% vs Sep Expenses $3,915 −6% vs Sep Saved $2,505 39% Goal 50% Monthly cash flow Expenses Income 0 2k 4k 6k Mar Apr May Jun Jul Aug Sep Oct $3,915 By category $3.9k spent Groceries 32% Bills 22% Dining 18% Transport 14% Other 14% Reading receipt OCR + LLM Merchant Supermarket Amount $84.50 · Oct 22 Category Groceries Recent transactions Auto-sorted S Supermarket Today · Receipt −84.50 Groceries C Coffee house Today · Bank SMS −6.20 Dining F Fuel station Oct 21 · Bank SMS −42.00 Transport M Monthly salary Oct 20 · Bank SMS +6,420 Income E Electricity bill Oct 19 · Invoice −118.30 Bills P Pharmacy Oct 18 · Receipt −23.75 Health D Family dinner Oct 17 · Bank SMS −64.00 Dining
Live Product

Masarif

Invoices and bank messages are read automatically and turned into a live expenses dashboard.

Picture: a drawing with demo data, not a screenshot.

See the use case →

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Tell us how things work today. We will suggest where AI could help and what it would take.

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