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Most financial institutions already use artificial intelligence, but often in fragmented, siloed ways. One tool may help write content. Another handles basic customer inquiries. Maybe there's a chatbot that answers simple questions.
But what happens when your institution needs AI to think, plan, and act — not just generate text?
That’s where agentic AI comes in. Built for autonomous action, agentic AI can reason, plan, and execute tasks independently across systems to accomplish specific goals with minimal human input. This next-generation capability is what separates agentic AI from traditional generative models and positions it as the future of AI in banking.
In this blog, we’ll break down the key differences between generative AI and agentic AI, how they work together, and how Posh uses both to elevate banking experiences.
Generative AI is a type of artificial intelligence designed to produce original content—text, images, audio, or code—by predicting what comes next in a sequence. It leverages large language models (LLMs) trained on vast datasets to generate human-like outputs.
Popular examples include:
In banking, generative AI supports tasks such as:
Generative AI is ideal for scaling content-heavy workflows quickly and cost-effectively, especially when speed and personalization are priorities.
While generative AI creates content, agentic AI acts on it.
Agentic AI refers to autonomous systems capable of making decisions, planning, and executing complex workflows in real-time, all with minimal human oversight. These AI agents operate within set boundaries to fulfill a defined goal, adapting to new data and re-evaluating steps as needed.
Agentic AI can:
Think of it like this: generative AI tells you what to say. Agentic AI decides what to do — and does it.
At Posh, we’re already embedding these capabilities into our AI Voice, Digital, and Knowledge Assistants to drive real-time, autonomous action.
When used together, these two AI models deliver greater business value than either could alone.
Examples:
Not all platforms can do both. At Posh, we’re leading the way in combining generative intelligence with agentic autonomy to support smarter banking outcomes.
Leading financial institutions aren’t choosing between generative or agentic AI — they’re embracing both. By integrating content generation and autonomous action, banks can:
The future of banking AI isn’t about having more tools. It’s about building the right AI architecture.
With Posh’s unified AI platform, you get:
Take the platform tour and see how combining generative and agentic AI elevates your strategy and transforms how your institution serves customers.
The AI Journey: Understanding Agentic AI and What It Means for Financial Institutions
Separating the Hype from Reality in Generative AI for the Financial Services Industry
Are you attending and interested in learning more?
Email info@posh.ai for the recording!