What's your role at the bank?

CEO / President / Board Member
CTO / CIO / Head of Technology
COO / Head of Operations
Chief Digital Officer / Head of Innovation
Compliance / Risk Officer
Other

Has your leadership team actively discussed AI strategy in the last 6 months?

Banks that move early on AI are capturing market share, deepening relationships, and pulling ahead of competitors who wait.

No. It hasn't come up at the leadership level.
Informally. A few people have brought it up but there's no initiative.
Yes. We've discussed it but haven't committed resources yet.
Yes. We have budget allocated and a team exploring it.

If AI could do one thing for your bank's growth starting tomorrow, what would you pick?

Banks using Payman AI are deploying agents that handle each of these today.

Offer a customer experience that rivals the biggest banks
Speed up account opening and onboarding from days to minutes
Free up staff for relationship banking instead of repetitive tasks
Give customers real 24/7 service that resolves issues, not just a chatbot
Reduce call center volume by letting AI handle routine requests end-to-end

How is your bank using AI today?

The shift: AI that answers questions vs. AI that executes transactions. Banks using Payman AI have agents that move money, manage accounts, and resolve issues in real time.

We don't use AI yet.
Back-office only: fraud detection, credit scoring, or analytics.
We have a customer-facing chatbot, but it mostly answers FAQs.
We're piloting or evaluating AI that can take real actions for customers.

When a customer needs to transfer money, open an account, or dispute a charge, what happens?

Leading banks are deploying AI agents that handle these end-to-end, not chatbots that deflect to a phone number.

They call or visit a branch. There's no real self-service path.
They can start online but usually need to call or visit to finish.
They can do it digitally, but it takes multiple steps and often feels clunky.
Most requests are handled end-to-end digitally. Rare edge cases need human help.

What's your biggest concern about deploying AI that can execute real banking transactions?

Banks running Payman AI get physical data isolation per institution, SOC 2 compliance, real-time monitoring dashboards, and a kill switch. Safety is the architecture, not an afterthought.

Regulatory and compliance risk. We need to know what's allowed.
Security and trust. Can customers really trust AI with their money?
Integration. Our core banking systems weren't built for this.
Organizational buy-in. Leadership isn't convinced yet.
We know we need to move but don't know where to start.

What drives the most call volume or branch traffic at your bank?

These are the exact use cases agentic AI is built to handle autonomously.

Balance checks, account inquiries, transaction history
Transfers, bill pay, and payment issues
Account opening, onboarding, and KYC paperwork
Disputes, error resolution, and problem handling
Honestly, a mix of all of the above

See where you stand

Get your personalized readiness profile with competitive benchmarking and tailored next steps.

Your information is used only to personalize your report. We don't share it with third parties.

Question 1 of 7
Explorer

The Explorer

"We know AI is coming. We're trying to understand what it means for us."

Your bank runs on solid fundamentals. Digital is mostly online and mobile banking basics. AI feels like something for the big banks right now. But here's the thing: community banks your size are already deploying AI agents that handle real transactions. Not in two years. Now.

The gap between "paying attention" and "falling behind" is closing faster than most leaders realize.

Where Banks Like Yours Start

These are the most common first moves for banks at your stage:

💬

AI-Powered Account Servicing

Customers ask about balances, recent transactions, or account details through natural conversation. The AI handles it instantly, no call needed.

🔄

Automated Transfers

Internal transfers, bill pay, and payment scheduling handled by AI with built-in policy controls and confirmation steps. Not a form. A conversation.

🛡️

Safe by Design

Physical data isolation per bank, SOC 2 compliance, fraud screening, and a real-time kill switch. Your compliance team will want to see this.

Your Next Steps

  • Identify the top 3 requests that drive call volume or branch visits at your bank
  • Have one leadership conversation about where AI agents fit in your 2026-2027 strategy
  • See a live demo of what agentic banking looks like at a bank your size

Your Agentic Banking Starter Kit

Walk away with something you can share with your team today.

📊

Your Readiness Report

Personalized PDF with your score, competitive positioning, and recommended action plan. Built for sharing with leadership.

PDF
📘

What is Agentic Banking?

A 5-minute primer on the shift from chatbots to AI that executes real banking transactions. Written for bank executives, not engineers.

Guide

Want to see what AI that actually executes banking transactions looks like? No commitment, just context.

Book a 15-Minute Demo
Evaluator

The Evaluator

"We've tried chatbots. We know there's a gap between what they do and what customers need."

You've dipped a toe in. Maybe a chatbot that handles FAQs, maybe some AI in fraud or analytics. But you've hit the ceiling every bank hits: your AI can talk, but it can't do anything.

Customers don't want to chat with a bot. They want to say "move $500 to my savings account" and have it done. That's the line between a chatbot and an agentic AI. You're closer to crossing it than you think.

What Changes with Agentic AI

Here's what banks at your stage unlock when they go from chatbot to agent:

⚡

From FAQ Bot to Execution Engine

Your chatbot deflects 80% of requests to a human. An agentic AI resolves them. Transfers, account changes, payment scheduling. Done in the conversation.

🏦

Your AI, Your Brand

Banks on Payman AI name and personalize their agent. Middlesex Federal Savings calls theirs "Davis." It lives inside the existing online banking portal. Customers don't download anything new.

📊

Real-Time Oversight Dashboard

Watch conversations live, see analytics on common requests, get flagged transaction alerts, and hit the kill switch at any time. Full control, always.

Your Next Steps

  • Audit your chatbot data: what are the top 10 requests it deflects to a human? Those are your agentic AI use cases
  • Measure customer effort: how many steps to complete a transfer digitally vs. just calling in?
  • Get compliance involved early. The banks that win treat compliance as a design input, not a gate

Your Agentic Banking Toolkit

Resources to help you move from evaluation to action.

📊

Your Readiness Report

Personalized PDF with your score, competitive positioning, and recommended action plan. Built for sharing with leadership.

PDF
📘

Chatbot vs. Agentic AI: What's the Difference?

A side-by-side comparison of what your chatbot does today vs. what an AI agent can do. Use cases, capabilities, and real examples.

Guide

See the difference between a chatbot and an AI agent that executes real transactions. Tailored to your bank's setup.

Book a 15-Minute Walkthrough
Builder

The Builder

"We have the foundation. We just need the right first move."

Your bank is in a strong position. Digital channels work, leadership gets it, and you've probably already evaluated some AI tools. The question isn't whether to move. It's where to start and how to get to production safely.

This is where most banks stall. Not from lack of will, but from lack of a clear path from pilot to live customers.

Your High-Impact Starting Points

Banks at your stage typically launch with one of these and expand from there:

🚀

Full Account Servicing Agent

Balances, transfers, payment history, account management. One AI agent handles the full spectrum of daily banking requests through natural conversation. Live in weeks, not months.

🔐

Configurable Trust Framework

Set exactly what the AI can do autonomously, what requires human approval, and what's off-limits. Transfer limits, confirmation thresholds, escalation rules. Your policies, enforced automatically.

🧠

Learning Engine (Playbooks)

The AI builds a library of successful interaction patterns. It gets smarter over time, tracks what works, and surfaces insights your team can act on.

Your Next Steps

  • Pick one use case: account servicing, payments, or onboarding are the highest-impact starting points
  • Define your trust framework: what can AI do autonomously vs. what needs human sign-off?
  • Set a 90-day pilot target with real customers and measurable outcomes

Your Agentic Banking Toolkit

Everything you need to go from strategy to production.

📊

Your Readiness Report

Personalized PDF with your score, competitive positioning, and recommended action plan. Share with your project team.

PDF
📘

How Agentic Banking Works

The architecture, use cases, and compliance framework behind AI that executes real banking transactions. Policy enforcement, audit trails, and what it looks like in production.

Guide

Let's map your first use case and build a pilot plan together.

Book a Strategy Session
Pioneer

The Pioneer

"We're already moving. Now it's about scaling and staying ahead."

You're ahead of the industry. Your bank has AI in production or advanced piloting, leadership is aligned, and you're thinking about scale. You don't need convincing. You need velocity.

Every month you expand before peers catch up is a month of compounding advantage. The banks that define agentic banking are the ones moving right now. That's you.

Scale Plays for Leaders

Here's how pioneer banks expand from first use case to full agentic deployment:

🌐

Multi-Intent Agents

One conversation that can handle a transfer, check a balance, dispute a charge, and schedule a payment. No hand-offs. No "let me transfer you." The agent handles the full context.

📈

Signals and Intelligence

Your AI surfaces patterns your team can't see manually: unusual transaction behaviors, common customer friction points, and opportunities to deepen relationships.

🏗️

Enterprise-Grade Infrastructure

Physical isolation per bank. Dedicated compute. Audit trails on every action. The kind of infrastructure regulators want to see and your board can stand behind.

Your Next Steps

  • If you've proven one use case, map the next three. Account servicing, payments, onboarding, and dispute resolution are the core four.
  • Build your story externally. Customers, prospects, and talent want to bank with an innovator.
  • Benchmark: AI agents handling end-to-end transactions are production-ready today. Make sure your roadmap reflects that.

Your Agentic Toolkit

Resources for banks that are already ahead.

📊

Your Readiness Report

Personalized PDF with your score, competitive positioning, and scaling recommendations. Share with your executive team.

PDF
📘

From First Use Case to Full Platform: Scaling Agentic AI

How to go from one use case to full agentic deployment. Multi-intent agents, infrastructure, and the operational model that makes it work.

Guide

We work with banks at your stage to go from one use case to full agentic deployment.

Book a Scale Planning Session