Agentic banking platform

Automate banking operations and consumer finances with agentic models

What is agentic banking?

Agentic banking is the use of AI throughout a bank’s operations to autonomously turn objectives into actions – creating operational efficiencies in the middle and back office while delivering a premium, tailored customer experience at scale.
Read our CEO’s agentic banking vision >

Our current capabilities

For customers
A consumer agent
A digital banking interface demonstrating how Bud's consumer banking agent empowers consumers to move money autonomously to earn more interest
An agentic system that helps individuals optimise their day-to-day finances.

Today, it’s trained to move money to:
  • Improve the amount of interest a consumer earns.
  • Ensure they meet their financial obligations.
  • Help them to avoid entering an unnecessary overdraft.
More about our consumer agent >
For banking operations
Drive
A digital banking notification showing an estimated revenue increase impact of £12,900 with stats stating' 32% of customers are saving more' and 'average income has dropped by 3%'
Laying the groundwork for banking agents, Bud’s AI-powered data and action management analytics platform now includes:
  • Proactive insights: Automated translation of business objectives into segments, driving personalisation capabilities and pushing actions and insights into workflows.
  • Action tracking: Integrated across your institution for automated execution tracking, impact measurement and creation of subsequent actions.

How does our agentic platform work?

Our agents build on customer context, derived from our existing data intelligence platform.
Customer insights models
Create highly accurate, deep customer insight and context.
Diagram showing customer context indicators like 'merchant, processor, category, regularity and token'
Accessible data platform
Enable colleagues and automated agents across the bank to access and act on customer insights.
Agent framework
Provides coordination and orchestration between autonomous agents for maximum efficiency.
A diagram demonstrating how Bud's agent framework allows for coordination and maximum efficiency between autonomous agents within your systems

Applications of financial services AI agents

AI Agents will be deployed across the banking IT estate and, in many use cases, the agents will require customer context or financial data.

Our agentic platform capability can be configured to customise workflows in systems that perform specialised tasks within the bank.
Talk to our leadership team about your AI strategy
* Bud's technology on display will be subject to a collaborative configuration and compliance process before deployment