DeepSpent
DeepSpent Spend Intelligence

Conversational Intelligence for Customer Spending

DeepSpent Spend Intelligence is available through APIs and AI-agent interfaces, including MCP, letting banks, fintechs and card issuers give their customers a way to ask natural-language questions about their spending and instantly receive personalized, data-backed insights.

Discuss Spend Intelligence → View Products →
💡 Give your customers a conversational intelligence layer over their spending data.
Ask questions in natural language Get answers from exact transaction data Understand spending, merchants & categories Track savings & financial wellness Detect subscriptions & recurring charges Surface personalized recommendations automatically
🎯

Built for the Banking & Fintech Ecosystem

Designed for organizations that serve banking and financial-services customers

🏦

Banks

Help customers understand their spending, saving and financial behaviour.

🌱

Neo-Banks

Give digitally native customers a conversational way to understand their money.

💳

Card Issuers

Add conversational intelligence on top of card transaction data.

Fintechs

Differentiate customer-facing apps with conversational spend intelligence.

📱

Personal Finance Platforms

Embed spend intelligence directly into budgeting and PFM tools.

💼

Wealth & Financial Management Platforms

Help clients understand day-to-day spending alongside broader financial goals.

🏢

Expense & Corporate Card Platforms

Give business users a natural-language view of company spending.

⚠️

Customer Spending Data Is Powerful — But Difficult to Use

Traditional dashboards make simple questions hard to answer

Customers generate large volumes of transaction data, but understanding it usually means digging through statements, exports or static dashboards to answer simple questions, such as:

DeepSpent Spend Intelligence allows these questions to be asked directly in natural language.

⚙️

How It Works

From customer spending data to an actionable answer

1

Customer Data

Transaction and account data from the bank/fintech platform.

2

DeepSpent Intelligence

Maps the natural-language question to the appropriate spend intelligence capability.

3

Exact Data-Backed Answer

Retrieves the relevant data and generates an understandable answer.

4

Actionable Insight

The customer receives insight that helps them understand and improve their financial behaviour.

💬

Four Solutions Under DeepSpent Spend Intelligence

Four solutions, one conversational spend intelligence platform

💬

What Customers Can Ask

The conversational nature of the product, made obvious

?

How much did I spend this month?

?

Compare this month vs last month.

?

Where is my highest merchant spend?

?

Show my subscriptions.

?

What's my financial wellness score?

?

How much can I safely spend?

?

Fuel spend analysis this quarter.

?

Where can I save money?

?

Weekly spending summary.

?

Detect recurring payments.

Example Insight

Illustrative examples of a conversational answer

“Where did my spending increase this month?”

Your spending this month is ₹1.2 lakh, up 8% from last month. Dining and travel account for most of the increase, with dining alone up 22% compared to your 3-month average.

“What's my financial wellness score this month?”

Your financial wellness score is 78/100, up 5 points from last month — driven by consistent savings and a lower discretionary-spend ratio. Your safe-to-spend balance for the rest of the month is ₹18,400.

These are illustrative examples only and do not represent live calculations.

🔌

Built for API and Agent-Based Integration

Designed to integrate into existing banking, payment and fintech platforms — or directly into AI copilots and agents

DeepSpent Spend Intelligence is designed to integrate into existing banking, payment and fintech platforms rather than requiring customers to adopt a separate analytics application. It's exposed through APIs and AI-agent interfaces, including MCP (Model Context Protocol), so the same analytics engine can power a customer application or an AI copilot/agent.

Bank/Fintech Platform DeepSpent Spend Intelligence API Customer Application

or

AI Copilot / Agent MCP Server DeepSpent Spend Intelligence Engine Customer Application
Bank Apps Mobile Apps Fintech Platforms Expense Platforms Personal Finance Apps Wealth Platforms Customer Support Experiences Conversational Interfaces MCP Server AI Agents
🧩

Add Intelligence to the Platform You Already Have

No need to replace your existing banking/fintech infrastructure

Your existing banking/fintech infrastructure already contains valuable customer data. DeepSpent adds a conversational intelligence layer so customers can interact with that data naturally.

🚀

Why Banks & Fintechs Add Spend Intelligence

Value for the B2B buyer, not just the customer

🤝

Increase Customer Engagement

Give customers a more useful reason to return to your app.

😊

Improve Customer Experience

Make complex spending data easier to understand.

🧭

Reduce Support & Dashboard Complexity

Let customers ask questions directly instead of navigating statements and dashboards.

🎨

Differentiate Your Platform

Add conversational intelligence to your existing customer-facing product.

Create New Customer-Facing Services

Use intelligence as an additional value-added service around your core banking or fintech product.

🔗

Strengthen Customer Relationships

Help customers understand and improve their financial wellbeing.

💰

Increase Customer Retention

Help customers understand their spending and financial progress, making your platform more valuable and harder to leave.

📈

Create Data-Driven Cross-Sell Opportunities

Identify customer needs and opportunities for additional financial products and services.

🏛️

Enterprise Deployment

Built for organizations that require control over their data and infrastructure

DeepSpent is designed for enterprise environments where organizations require control over their data and deployment infrastructure.

🔒

Designed for Enterprise Payment-Data Environments

DeepSpent can be deployed within customer-controlled infrastructure so organizations can maintain control over their payment and transaction data.

Bring Conversational Intelligence to Your Customer-Facing Platform

Give your customers a natural-language way to understand their spending, saving and financial wellness.