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AI-Powered MSME Onboarding and Credit Profiling

PayNet · Posted 1 year ago

Banking and financePredictive Analytics / ForecastingGenerative AIDocument Intelligence
Budget
To be determined
Timeline
Not specified
Closed on
31 Oct 2025, 23:59 ICT

Problem statement

The onboarding process for Micro, Small, and Medium Enterprises (MSMEs) into the banking industry is highly manual, requiring days to complete due to extensive documentation. Additionally, many MSMEs operate in a personal capacity, which restricts their access to business-specific financial tools that could foster growth.

Expected outcomes and success metrics

• Achieve seamless and digital onboarding for MSMEs with near real-time approvals using eKYB and document recognition. • Develop a transactional behavior engine for credit profiling and segmentation based on non-traditional data like e-wallet usage, QR payments, and e-commerce sales.

Current process

No specific tools or vendors. Onboarding of MSME clients is a manual process , and qualification of potential clients is done through manual data analytics.

Current solution

No specific tools or vendors. Onboarding of MSME clients is a manual process , and qualification of potential clients is done through manual data analytics.

Target users and impacted teams

The SME Banking Team, by expanding the funnel for potential MSME leads and clients.

Data availability and readiness

Transactional data is available in a structured format. However, historical onboarding documents are in an unstructured format.

Integration, deployment and infrastructure

The desired solution should be deployed on-premise, with the intellectual property ultimately belonging to the bank. The company is looking for a white-labeling or a SaaS model of engagement.

Relevant AI technologies

Predictive Analytics / ForecastingGenerative AIDocument Intelligence