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:
- Where did I spend the most last month?
- Why did my spending increase?
- Which merchants do I spend the most with?
- What subscriptions do I have?
- Am I on track with my budget this month?
- How much can I safely spend?
- What's my financial wellness score?
- Which category is growing fastest?
DeepSpent Spend Intelligence allows these questions to be asked directly in natural language.
How It Works
From customer spending data to an actionable answer
Customer Data
Transaction and account data from the bank/fintech platform.
DeepSpent Intelligence
Maps the natural-language question to the appropriate spend intelligence capability.
Exact Data-Backed Answer
Retrieves the relevant data and generates an understandable answer.
Actionable Insight
The customer receives insight that helps them understand and improve their financial behaviour.
Key Capabilities
What makes DeepSpent Spend Intelligence powerful
Spending Analytics
Track spending behavior across weeks, months, quarters, years, merchants, and categories through conversational analytics.
Inside Spending Analytics
- Weekly Spend Analysis
- Monthly Spend Analysis
- Quarterly Spend Analysis
- Yearly Spend Analysis
- Spend Comparison Analysis
- Spend Trend Analysis
Merchant & Category Intelligence
Understand where customers spend, identify top merchants, discover category preferences, and uncover behavioral patterns.
Inside Merchant & Category Intelligence
- Top Merchants
- Merchant Spend Analysis
- Merchant Frequency Analysis
- Top Categories
- Category Comparison
- Category Trends
Financial Wellness Intelligence
Help customers make smarter financial decisions through personalized coaching, savings recommendations, and wellness insights.
Inside Financial Wellness Intelligence
- Safe-to-Spend Analysis
- Savings Opportunities
- Overspending Alerts
- Spending Habit Analysis
- Personalized Insight Feed
- Spend Stories
Expense & Subscription Intelligence
Monitor recurring expenses, detect subscriptions, identify anomalies, and uncover opportunities for cost optimization.
Inside Expense & Subscription Intelligence
- Recurring Charge Detection
- Subscription Analysis
- Unusual Spend Detection
- Spend Spike Monitoring
- Cost Optimization Insights
- Expense Risk Detection
Transaction Intelligence
Search, analyze, summarize, and investigate millions of transactions using natural language conversations.
Inside Transaction Intelligence
- Transaction Search
- Spend Breakdown
- Transaction Summaries
- Entity Discovery
- Merchant Investigations
- Spending Exploration
Executive Insight Layer
Transform transaction data into strategic insights that improve engagement, retention, and business decision-making.
Inside Executive Insight Layer
- Customer Behavior Insights
- Spending Trend Monitoring
- Financial Wellness Scoring
- Customer Engagement Signals
- Revenue Opportunity Insights
- Automated Executive Summaries
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.
See Conversational Spend Intelligence in Action
A recorded conversation between a cardholder and DeepSpent
A cardholder asks questions in plain language and gets answers computed from their own transaction data.
Example Insight
Illustrative examples of a conversational answer
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.
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.
or
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.
- No need to replace the existing banking/fintech platform
- Available as an API or an MCP-based AI-agent interface
- Can be integrated into existing customer-facing applications
- Customer data remains within the bank's/fintech's controlled deployment environment where applicable
- Supports an enterprise/private deployment model
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.
- Private-cloud deployment
- On-premises deployment
- Enterprise API and MCP/agent integration
- Controlled access to payment/transaction data
- Annual software licensing
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.