When Your Customers’ AI Does the Banking: What You Need to Know for 2027.

ChatGPT changed how people look for answers. Personal AI agents are about to change how they bank.

Muse, Grokbot and Instinct are gaining traction fast, with OpenAI Dots and Claude Duet close behind. And these agents don’t stop at answers. They act on someone’s behalf: comparing rates, managing accounts, even contacting your institution to get things done.

That shift comes with plenty of hype and very little clarity. But one thing won’t change, no matter which agents win: the outcome. Whether a request comes from a customer or member, one of your employees, or an AI agent acting for any of them, someone still has to unlock online banking, skip a payment or reactivate a dormant account. That’s why purpose-built agents matter. Each one owns a specific banking job from start to finish, trained on procedures written by people who know banking. The way the work gets done is changing dramatically. The purpose behind it remains unchanged.

Join Posh CEO, Karan Kashyap, who will share his predictions for AI and agentic AI in banking in 2027. We’ll step back for the big picture on AI agents, break down what purpose-built agents are and what they do, and get into the art of getting them right.

Takeaways:

- The big picture on personal AI agents: who’s building them and how fast adoption is moving
- Trends and predictions for AI and agentic AI in banking in 2027, and what they mean for your planning
- What purpose-built agents are, what they do, and why focus is the smart bet
- How to put purpose-built agents to work at your institution, from which jobs to start with to turning personal AI agents into an advantage instead of a threat
- The risks to get ahead of, from authentication and fraud to relationship and deposit loss

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