Toronto-based fintech company Flybits has launched its new Agentic Banking capability on September 22, 2025, using advanced AI to create personalized banking experiences that guide customers through major life events. This move aims to help banks connect products like loans, cards, and insurance into seamless journeys, making financial services feel more human and intuitive.
What Agentic Banking Means for Customers
Flybits designed this technology to focus on real-life needs rather than isolated transactions. For instance, if a customer wants to buy a car, the AI agent can analyze a photo of the vehicle, calculate what they can afford, suggest loan options, compare insurance plans, and highlight card perks like fuel discounts. All this happens in one unified process without switching between apps.
This approach builds on agentic AI, which acts independently to solve problems and make decisions. Unlike basic chatbots, these agents integrate with bank systems and partners to deliver end-to-end support. Early users report faster decisions and less hassle in handling finances.
Industry experts note that agentic AI could transform how people manage money. A recent survey shows that over 60 percent of consumers want more personalized banking tools, especially for big purchases or life changes like buying a home or starting a family.
How Flybits Built This Innovation
Founded in 2013 as a university spin-off, Flybits has grown into a leader in customer experience platforms. The company raised funds from investors like Point72 Ventures and Bosch Ventures to fuel its research. Its R&D arm, Flybits Labs, works with universities and tech firms to test new ideas.
The Agentic Banking launch follows Flybits’ earlier release of XRCard in May 2025, which combined AI with extended reality for card-based banking without phones. This new capability expands on that by adding natural language interfaces and full audit trails for trust and compliance.
Flybits CEO Dr. Hossein Rahnama explained that the goal is to build intelligent agents that blend banking products into everyday life. He stressed the importance of explainability, so users understand how decisions are made. This helps address privacy concerns in an era where data sharing is key to personalization.
To make it work, the agents use generative AI for voice interactions and connect to vast data sets. Banks can customize them to fit their brands while ensuring security. Testing showed these agents reduce customer drop-off rates by up to 40 percent in complex processes like loan applications.
Challenges and Opportunities Ahead
While exciting, adopting agentic AI in banking faces hurdles. Many customers worry about sharing personal data, such as lifestyle details for tailored advice. Building trust is crucial, especially after recent data breaches in the financial sector.
Another issue is competition from popular tools like general AI chatbots or planning apps. Banks must show why their agents are better for secure, integrated financial guidance. Flybits plans to tackle this with user education and partnerships to ease integration.
On the positive side, the market for AI in banking is booming. Projections estimate it will reach $64 billion by 2030, driven by demands for efficiency and personalization. Agentic systems could capture a big share by automating compliance tasks like fraud detection and risk assessment.
Here are some key benefits banks might gain:
- Improved customer loyalty through relevant, timely offers.
- Cost savings from automated workflows, potentially cutting operational expenses by 25 percent.
- Better risk management with real-time data analysis.
Broader Impact on the Banking Industry
Agentic AI is part of a larger trend reshaping finance in 2025. Major reports highlight how these technologies optimize processes, from anti-money laundering to personalized lending. For example, banks using similar AI have seen a 30 percent rise in customer satisfaction scores.
Flybits’ launch aligns with innovations from other firms, like ebankIT’s AI transactional assistant unveiled at a recent fintech event. This wave of tools promises to end customer inertia, where people stick with outdated banking habits due to complexity.
However, experts warn of potential disruptions. If agents handle more decisions, it could shift billions in revenue as customers get better deals automatically. Banks that adopt early might gain an edge, while others risk falling behind.
| Aspect | Traditional Banking | Agentic AI Banking |
|---|---|---|
| Customer Interaction | App-based, siloed products | Unified, life-event focused journeys |
| Decision Making | Manual, human-dependent | Autonomous, with human oversight |
| Efficiency | High friction, multiple steps | Streamlined, reduces time by up to 50% |
| Trust Features | Basic security | Full auditability and explainability |
| Market Growth Projection | Steady | Explosive, $64B by 2030 |
Future Outlook for AI in Finance
Looking ahead, Flybits aims to expand its agents to cover more scenarios, like retirement planning or travel budgeting. Partnerships with academic institutions will keep pushing boundaries in human-centered design.
As AI evolves, regulations will play a big role. Governments are drafting rules to ensure ethical use, focusing on bias prevention and data protection. Flybits commits to these standards, positioning itself as a trusted player.
This launch could inspire more fintechs to innovate, making banking more accessible and less intimidating for everyone.
What do you think about agentic AI in banking? Share your thoughts in the comments and spread the word if this sparked your interest.
