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June 30, 2026

Are You Banking on the Bot?

Why the agentic era is not a chatbot race, and what banks need to adopt instead.  

Einat Haftel, Chief Product Officer, Personetics  

There are moments when technology changes the rules so quickly that yesterday’s advantages no longer matter. Banking is experiencing one of those moments right now.

AI adoption for financial guidance has reached an inflection point, going from niche to mainstream almost overnight. According to TD Bank’s 2026 AI Insights Report, the share of US consumers using AI to help manage their finances jumped from 10% to 55% in just twelve months. At the same time, EY reports that nearly half of global consumers have used AI to guide their savings and investment decisions in the past six months.

This is not a five-year trend. It happened in a single year.

To Bot, or Not to Bot? That Is Not the Question  

The industry’s response has been remarkably consistent. Every conference panel, strategy deck, and analyst report seems to ask the same question: What if AI becomes the interface? It is an understandable question. However, it is also the wrong one.

The more important question is this: What happens when financial decisions are made outside banking channels? This is the shift that actually matters. Customers no longer think about money only when they interact with their bank. Financial intent now appears wherever they happen to be: in an AI conversation, while planning a vacation, comparing mortgage rates, shopping for a car, or asking a chatbot whether they can afford a major purchase.

Retail has faced this question first, and the numbers speak for themselves. According to research, consumers are more than three times more likely to trust a retailer’s own AI than a general-purpose AI platform when it comes to completing a purchase (25% vs. 7%, Bain & Company, Agentic AI in Retail, 2026).

AI Drives Discovery. Trust Drives Action

Banking is likely to follow the same path. Consumers may start the conversation with AI, but they will expect trusted institutions to provide judgement, execution, and accountability.

That distinction points to where real competition actually lies. The banks that win this era won’t be the ones that own every interface a customer might use. They’ll be the ones that show up wherever financial intent arises, regardless of which interface brought the customer there.

The future isn’t about building another interface to compete with AI. It’s about building a platform that stands behind every financial decision, no matter where that decision occurs.

Not a Channel Problem. A Platform Problem

Seen this way, the agentic era doesn’t create a channel problem. It creates a platform problem.

Once financial decisions can begin anywhere, the question becomes: what stands behind them?

How does a bank ensure that a customer receives the same financial understanding, guidance, and level of trust regardless of where the interaction takes place, whether through a mobile app, a bank representative, or an AI assistant?

The banks that succeed will be the ones that can deliver three things at once: , ground every interaction in a shared financial context, and build trust into every recommendation and action. These three principles have shaped how we think about the evolution of the Personetics Cognitive Banking Platform.

The first challenge is distribution. Financial intent and decisions have become ubiquitous and are no longer restricted to a single place. Customers move continuously between digital experiences, human interactions, and increasingly, AI-powered experiences.

Most banks are still organized around channels. However, customers no longer operate that way. They experience a single relationship, and they expect that relationship to recognize them wherever they need it.

That means financial intelligence cannot be tied to a single application, business unit, or customer touchpoint. Insights, recommendations, and actions must be created once and made available wherever they are needed. On a platform level, this is what orchestration enables: it separates intelligence from delivery, so the same savings opportunity, product recommendation, or financial insight can surface in the mobile app, a banker’s workspace, a contact-center interaction, a marketing campaign, or an AI-powered experience – without being recreated specifically for each channel.

One signal, one orchestration engine, the right interaction in the right place at the right time. The channel changes. The intelligence does not.

The financial institutions that succeed in the agentic era won’t be the ones with the most channels.

They will be the ones that can orchestrate deep customer understanding and financial guidance across channels, supporting customers wherever financial intent arises.

Build One Shared Financial Context

If orchestration determines where intelligence appears, the intelligence layer gives it shared financial context and meaning. This is the core Cognitive Engine our platform is built on. Today, most banks still operate with a fragmented understanding of their customers: marketing sees one version, digital sees another, the contact center sees a third, and new AI initiatives often introduce a fourth. Every interaction starts from zero, creating inconsistent, isolated experiences. Shared financial context resolves this. It acts as ‘one financial brain’: a persistent, continuously evolving understanding of the customer’s financial reality. It combines transaction enrichment, spending behavior, cash-flow patterns, financial goals, product relationships, and emerging intent into a single financial context that follows the customer across every interaction.

More importantly, this understanding becomes reusable. Every recommendation, workflow, banker interaction, and AI experience is grounded in the same financial context. This creates a more consistent and continuous financial relationship: A banker preparing for a meeting sees the same opportunity presented to their customer in their mobile app. An AI assistant understands the same financial priorities. A marketing campaign is informed by the same financial signal and behavior.

Without shared financial context, every interaction starts from scratch. With it, every interaction gets smarter.

Make Trust Operational

The trust gap may be the most important number in this entire discussion.

Today, trust still favors the bank. According to recent research, 85% of consumers trust their bank with their financial information. AI is closing that gap as a source of information: 62% believe AI can provide reliable information. But only 18% say they would trust AI to make autonomous financial recommendations.

That gap is the opportunity. Customers clearly want AI-powered financial guidance. They’re already seeking it out. What they don’t want is financial guidance they cannot trust and control. This is exactly why governance is becoming a strategic asset.

In the agentic era, trust will not be earned through brand promises or chatbot disclaimers. It will be earned through the ability to explain recommendations, govern actions, maintain accountability, and ensure customers remain in control.

The banks that succeed will not be those that move fastest with AI. They will be the ones that can move confidently because trust is native to how their platform operates.

Governance is not a constraint on innovation. It’s what makes innovation trustworthy.

From Principles to Platform

At Personetics, we’ve spent more than a decade helping banks turn customer understanding into action. The agentic era raises the bar: banks now need a platform that can understand customers, orchestrate intelligence across channels, and govern every action wherever financial intent arises.

This is the role of the Personetics Cognitive Banking Platform. Shared Financial Context provides a continuously evolving understanding of the customer: their behaviors, cash flow, goals, product relationships, and emerging intent. Cross-Channel Orchestration activates that understanding wherever it is needed, across customer experiences, employee workflows, marketing journeys, and AI-powered experiences. Governance and trust ensure every recommendation and action remains controlled, explainable, auditable, and accountable.

Together, these capabilities allow banks to stay present wherever financial intent arises, while maintaining what matters most: ownership of the customer relationship.

One Customer. Three Experiences.

Consider a customer with roughly $320 available for savings each month.

In the banking app, they receive a recommendation showing how those funds could help them achieve a holiday savings goal before year-end. Before an upcoming meeting, the customer’s banker sees the same opportunity, with relevant talking points and product recommendations. Down the road, when the customer asks an AI assistant how to optimize their savings, the assistant draws on the same financial context and operates within the same bank-defined controls, ensuring the guidance remains consistent with every other interaction.

Three experiences. One financial context. One continuous relationship. That is the opportunity. The winners of the agentic era will not be the financial institutions that deploy the most AI. That is the vision behind the Personetics Cognitive Banking Platform: not to substitute for the bank’s relationship, but to deepen it, making that relationship more intelligent, more present, and more trustworthy that no external agent can easily replicate. Because the interface may change. But the relationship is still worth fighting for.

For additional reading on this topic, please read Udi Ziv’s article, “The Battle for the Bank Customer.

Want To See How Cognitive Banking and AI Can Transform Customer Engagement?
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Einat Haftel Chief Product Officer Personetics

Einat Haftel

Chief Product Officer

Einat is leading the company’s product vision, strategy, and execution as it scales its platform and advances it Generative AI capabilities. She is committed to transforming how financial institutions engage customers through intelligent, actionable insights, that empower banks and their customers worldwide. With over two decades of experience in artificial intelligence, predictive analytics, and large-scale enterprise software, Einat has a proven track record of building innovative products that drive measurable business impact across financial services, retail, supply chain, and insurance. Prior to Personetics, she served as Chief Product Officer at Dynamic Yield by Mastercard, where she led the evolution of the Experience OS platform – pioneering AI-powered personalization and experimentation at scale. Earlier, she held senior product leadership roles at Informatica, IBM and CCC Intelligent Solutions. Einat holds a Master’s degree from Hebrew University of Jerusalem and is passionate about leveraging technology and data to democratize financial wellness – making banking more personal, proactive, and empowering for people everywhere.

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