Traditional e-commerce relies on customers sifting through filters and multi-step forms. Agentic commerce eliminates this friction by evaluating context, applying budget constraints, and settling payments instantly.
Bain & Company projects that agentic AI could account for 15% to 25% of the total U.S. e-commerce market by 2030. Google and OpenAI are already racing to embed agents into search, browsing and checkout.
Source: Bain & Company
Developing agents that browse and interact with apps on the user's behalf.
Integrating checkout capabilities directly into Gemini.
Leveraging on-device intelligence for virtual assisstant shopping.
Introducing standardized rules and frameworks that define how agents handle transactions.
Nine requirements, three options, one purchase — with tax, shipping and a delivery date confirmed inside the bank's own app. No filters, no forms, no redirect.
Nine plain-language requirements become one structured intent.
Three options, ranked against every requirement.
One instruction from the customer, confirmed — nothing inferred.
Network-compliant, total shown with tax and shipping.
A multi-agent system orchestrates every conversation in real time. A scheduled pipeline then structures what was said into intent — the analytical IP that compounds with every session.
Every major platform is publishing its own rules for how an agent talks to apps, proves who it acts for, reaches data and pays. Flybits builds on the open ones — and is registered on the payment layer.
How an agent talks to apps
How an agent acts on a customer's accounts
How models reach external data
How an agent pays on a user's behalf
The Flybits Commerce Agent is a ready to deploy agentic commerce platform that can be branded to create a bank native agentic experience.
The Flybits Agent is ready to deploy and has been built to be compliant with network agentic commerce frameworks. The Agent has been designed to create trust with users through transparent and explainable intent matches.