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Fintech

Meniga launches Fini to connect bank AI assistants to customer finance tools

The MCP server is designed to let banks add conversational AI to digital channels while retaining existing Meniga systems and bank-controlled data safeguards.

Rafael Ortiz

By Rafael Ortiz · Fintech Correspondent

· 3 min read

Meniga has introduced Fini, a standards-compliant MCP server intended to connect bank AI assistants with its financial intelligence tools, the company said. The launch targets banks seeking conversational digital banking without replacing their existing Meniga installations, with Meniga saying customer data remains inside the bank.

The product is aimed at banks that want their digital channels to move beyond static menus and account dashboards toward natural-language interactions. Meniga said Fini allows an AI assistant to draw on the company’s personal finance, transaction enrichment and insights capabilities, so responses can reflect a customer’s own financial activity rather than generic information.

Raj Soni, chief executive of Meniga, said banks that succeed in agentic banking will need to base their conversational services on financial context. “Not a generic chatbot, but an assistant that actually knows a customer's spending patterns, their goals, and their upcoming bills, and is able to act on it,” Soni said.

How Fini fits into bank channels

Fini is designed as a server layer that connects an AI assistant to Meniga’s existing financial intelligence functions. In practice, Meniga said this means a bank can use its current Meniga platform while exposing selected capabilities to a conversational interface inside its own digital channels.

The company gave examples of customer prompts such as asking how much is being paid for subscriptions or whether a future trip is affordable. Meniga said the assistant can answer using the customer’s actual financial data and allow actions to be taken within the same conversation.

For banks, Meniga said the intended benefits include stronger customer engagement, higher satisfaction, lower support costs from resolving routine questions end to end, and better signals about customer needs. Those are company claims and no financial metrics or customer outcomes were disclosed.

Controls, data and model choice

Meniga said Fini was developed in cooperation with five large banks, with the aim of reflecting how established institutions want to introduce AI agents into regulated banking environments. The company did not name the banks involved.

According to Meniga, customer data does not leave the bank when Fini is used. The assistant is also intended to operate within the bank’s own guardrails, identity framework and access controls, giving institutions control over which users and systems can access financial data and actions.

The company also said Fini is model-agnostic. Banks can connect it to Claude, GPT, Gemini or an internally developed model, according to Meniga, which said the design is intended to reduce dependence on any single AI provider.

Soni said the product allows banks to add AI-agent capabilities “without rebuilding what's underneath, and without their data ever leaving the bank.” He added that interest since launch indicates demand from banks for an agentic banking layer that does not require replacing existing systems.

The launch places Meniga in a growing field of technology providers trying to connect generative AI interfaces with regulated financial data and bank workflows. Meniga’s pitch rests on using existing personal finance management infrastructure as the context layer for customer-facing AI assistants, while leaving data governance and access controls with the bank.

This story draws on original reporting from Finextra Research.

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