AI Integration
Financial data, AI ready
Power conversational banking with structured, enriched transaction data. Give your AI assistant real financial understanding.
The AI advice gap
Banks are investing in AI. But the results so far tell a cautionary story about what happens when the data foundation isn't there.
80%+ use AI for financial advice
Consumers are already turning to ChatGPT and similar tools for guidance on spending, saving, and financial decisions. They're not waiting for banks; they're going elsewhere.
50%+ get bad advice
More than half report that the financial advice they received ultimately turned out to be wrong or harmful. Generic AI without real financial data is a liability, for the customer and the bank's reputation.
The opportunity is data, not just AI
Customers are already turning to AI for financial guidance, and the demand is there. But generic models without real financial context produce bad advice. Banks have the opportunity to step in with something better: AI grounded in actual transaction data. The quality of every answer is determined by the data behind it, not the model producing it.
A solid data foundation turns this risk into an advantage. Banks that offer AI-powered advice built on enriched, structured financial data don't just avoid the bad advice problem; they become the trusted source customers are already looking for. And when every channel draws from the same foundation, the experience is consistent everywhere.
What good data changes
-
Accurate, grounded answers
No hallucination, responses built on real categorized data
-
Advice customers actually value
Personalised insights based on actual spending patterns
-
Consistent across every channel
Same data foundation for app, chat, branch, and support
-
Higher adoption, not just availability
Customers use AI features when the experience is trustworthy
What your AI can do
With enriched data, your AI assistant becomes a true financial guide.
Answer spending questions
"How much did I spend on food last month?" Answered accurately with categorized data.
Explain transactions
"What's this charge?" Full merchant context, category, and history at hand.
Manage subscriptions
"Cancel my Netflix" Knows which subscription, can trigger action.
Analyze trends
"Am I spending more this month?" Compare periods with accurate categorization.
Find savings
"Where can I save money?" Identify unused subscriptions, spending spikes.
Plan ahead
"What bills are coming up?" Predict upcoming charges from recurring patterns.
One data layer, every channel
Today, AI in the mobile app knows different things than the chatbot, which knows different things than the branch advisor. Customers notice, and lose trust. A shared data foundation solves this. When every channel draws from the same enriched data, customers get consistent, accurate answers regardless of how they choose to interact.
This is how AI adoption actually grows. Not by adding more features, but by making every interaction trustworthy. A customer who gets a useful answer in the app is more likely to try the chatbot. A branch advisor who sees the same data the customer sees can have better conversations. The data is the product, the channel is just the delivery mechanism.
With Subaio's enriched data as the foundation, banks can confidently deploy AI across channels knowing the advice will be grounded, consistent, and genuinely helpful.
"When we started using the same enriched data across our app, chatbot, and advisor tools, we didn't just improve AI, we improved every customer conversation."
— Western European retail bank
Mobile banking
AI-powered spending insights, subscription management, and proactive notifications, all grounded in enriched transaction data.
Chatbot & virtual assistant
Answer spending questions, explain transactions, and offer personalised guidance with full financial context, not generic responses.
Branch & contact centre
Advisors see the same enriched data customers see. Informed conversations, consistent advice, and faster resolution, no conflicting information.
Online banking & portals
Dashboards, financial health tools, and self-service features all powered by the same categorized, pattern-detected data layer.
Built for how AI actually works
Subaio provides MCP (Model Context Protocol) servers that give AI agents direct, structured access to enriched financial data. Instead of passing raw context into prompts, your AI tools connect to a live data layer designed for machine consumption, with pre-computed summaries, typed schemas, and action endpoints ready to use.
This means faster development, fewer hallucinations, and AI experiences that actually work in production. Whether you're building with OpenAI, Anthropic, Azure, or your own models, the integration is the same. Structured data in, grounded answers out.
And because it's built on the same enrichment layer that powers our credit, PFM, and engagement products, you get the full depth of Subaio's financial intelligence, not a simplified AI-only subset.
MCP servers
Model Context Protocol endpoints that give AI agents direct access to enriched data, summaries, and actions.
Structured data schemas
Consistent, typed JSON with pre-computed aggregations. No prompt engineering required, data arrives ready for reasoning.
Action endpoints
Not just data, actions too. AI agents can trigger subscription management, budgeting, and engagement workflows directly.
Platform agnostic
Works with OpenAI, Anthropic, Azure, self-hosted models, or any LLM platform. One integration, any AI stack.
AI-ready by design
Every product and data output is structured for machine consumption, not retrofitted, but built that way from the start.
Evolving with the technology
As AI models, protocols, and standards advance, our data layer advances with them. Your investment in Subaio grows more valuable over time.
Every product, AI-capable
Credit assessment, finance management, enrichment, engagement, all designed so your AI tools can access and act on the data they produce.
Our commitment to your AI strategy
AI is not a passing trend; it's a fundamental shift in how banks serve customers. We recognise that, and we're building accordingly. Every Subaio product, every data output, and every integration is designed to be AI-ready from the ground up.
This is a commitment, not just a feature. As AI capabilities evolve, so will our data layer. Whether your bank is deploying its first conversational assistant or scaling AI across the entire organisation, Subaio's enriched data will be there, structured, accessible, and ready to power whatever comes next.
We don't just support AI integration; we ensure that every solution we deliver makes your AI strategy stronger. From credit decisioning to customer engagement, from PFM to subscription management, the data is always ready for the models, the agents, and the experiences your bank needs to build.
Ready to power your AI?
See how enriched financial data can transform your conversational banking experience.