Financial consulting start-up utilises back-office process automation

Client profile: VLC, new financial consulting start-up with 30 employees in New York City, US with a mission to deliver tailored financial consultation services with precision and care. It used to operate entirely on manual, non-AI workflows prior to automation.

Case focus: Streamline operations through intelligent automation of core back-office functions.

Current workflow:

Manual loan review: Staff manually process applications.
Data extraction: Documents are verified and data entered by hand.
Fraud monitoring: Transaction checks are manual.
Customer support: Human agents handle all queries.

* The client is under NDA abbreviation

Set to Make Your Ambitions a Reality?

The Challenge

In 2025, with the aim to offer personalised financial services, but the company struggled to:

Verify efficient documents and process loans.
Monitor transactions for fraud in a timely manner.
Respond promptly to customer queries, particularly during high-volume periods.

The Solution

Technical Approach: Implement a suite of AI-driven tools to automate loan processing, document analysis, and customer interaction workflows.

Key components:

Automated loan processing: AI models apply for document data, credit scores, and risk indicators.
Document intelligence: AI extracts data from income statements, identities, and contracts.
AI chatbots and virtual assistants: NLP-powered bots resolve common customer issues (account status, transaction disputes).
Robotic process automation: AI extracts and validates data from income statements, identities, and contracts.