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Credit infrastructure platform adds
standardized interface for AI-native lending experiences
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The company currently works with with 100+
enterprises such as ABCL, PFL, and HDFC Bank
National,
April 08 : FinBox, a leading credit infrastructure
platform serving over 100 enterprise lenders across banks, NBFCs, fintechs, and
conglomerates, today announced support for MCP (Model Context Protocol) in
Sentinel AI, its decision management platform that has facilitated over 6.5
billion decisions till date. MCP support allows AI agents, internal tools, and
partner applications to trigger credit workflows directly through Sentinel AI
using a standardized interface - without duplicating underwriting logic or
compromising governance controls.
With
MCP support, lenders can enable conversational lending where borrowers move
from inquiry to approval within the same AI interaction. They can build
internal copilots that allow loan officers to simulate scenarios or trigger
approvals through natural language, and power embedded finance integrations
where partner applications offer lending through agent-led experiences. Through
all of this, they maintain centralized governance, with all decisions running
through the same underwriting models, fraud checks, and policy frameworks. The
integration runs entirely within a lender's secure environment, ensuring data,
models, and execution remain under institutional control.
While
borrowers can increasingly interact with AI to explore lending options, most
credit decisions still require separate application flows or manual handoffs.
The AI can inform, but it can't execute which creates friction at the moment of
decision and forces lenders to choose between innovation and compliance. MCP
support enables Sentinel AI to participate directly in these new interfaces,
allowing underwriting, pricing, fraud checks, and policy-governed approvals to
be triggered within the same interaction.
“With
AI interfaces becoming more capable, the question for lenders is no longer
whether to adopt them, but how to ensure they connect back to governed
decisioning,” said Rajat Deshpande, Co-founder and CEO
of FinBox. “MCP support allows Sentinel AI to serve as the execution
layer behind these new interfaces, so lenders can experiment with new journeys
without rebuilding their credit infrastructure.”
MCP
provides a protocol layer that allows external systems to interact with
Sentinel AI through a consistent interface. When an AI agent needs to make a
credit decision, the agent sends a structured request to Sentinel AI via MCP.
Sentinel AI then executes the decision using existing underwriting models,
pricing rules, and fraud checks. The governed decision is returned to the agent
within the same interaction, and all activity is logged and auditable within
Sentinel AI's existing compliance framework. No duplication of logic. No
fragmented decisioning. No compromise on governance.
“Lenders
don’t want to rebuild their stack every time a new interface emerges,” said
Srijan Nagar, Co-founder of FinBox. “MCP provides a consistent way
for new systems to interact with Sentinel AI, reducing integration overhead
while keeping governance intact.”