Bank executive · technologist · AI engineer

The banking perspective your core vendor is missing.

AI is fundamentally changing the banking software industry. For the first time, people with the right experience can build focused software faster—and often better suited to the bank—than products available on the market.

Can everyone do this? No. AI alone is not enough. You need broad banking and operational experience. You need to know where the data lives and how to access it. You need to understand what the bank and its employees actually need. You also need software development discipline and the ability to engineer effectively with AI.

I bring all of those capabilities together: 35+ years of bank operations and IT leadership, hands-on development experience, deep knowledge of bank data and modern AI engineering.

Today: I am using that combination to move ideas into working banking software in hours when the scope allows.

This should scare traditional core vendors. Banks are still asked to rely on promises and roadmaps while important improvements can take months or years to arrive. Experienced bankers using AI engineering can now prove a different development model.

35+ years in banking Active bank EVP & CIO AI-developed systems
The Game Has Changed · Buy Old or Build New
AI-developed banking applications Operations · Governance · Analytics · CRM
Real-time SilverLake System® core access JHA SOAP · APIs · Microservices · .NET / Blazor
On-premisesBank environment
HostedCore services

The game changer: software that can securely access the Jack Henry® SilverLake System® core processing solution in real time

A different perspectiveBanking expertise that can become better products.
35+Years in banking
Bank EVP & CIOOperations + IT
BuilderTraditional + AI engineering
The game-changing development

SilverLake System core access—in real time.

I can now engineer modern applications that securely access the SilverLake System core as banking activity happens, not hours later through a batch process.

At the center is my Microservice API, which integrates the JHA SOAP calls and gives modern applications a cleaner way to communicate with the SilverLake System core. That bridge is a game changer for what I can build: real-time inquiry, real-time CRM, loan stress testing, profitability tools and new operational workflows working with current core information.

Many legacy and vendor-provided applications still depend on delayed, batch-oriented information. A reusable microservice layer changes that model by making real-time core access available to purpose-built software.

What I’m working on next

Redesigning the workflow experience with “Tasks.”

We currently use the Jack Henry Workflow™ solution. My next plan is to use my Microservice API to reimagine how core-connected workflows can work through an experience I am calling “Tasks.”

Rather than simply recreating a fixed, step-by-step workflow, Tasks will be interactive applications that respond to users and real-time core information. They can be AI-engineered in a fraction of the time it would take to build a traditional workflow manually, while looking and behaving like a natural part of the core experience.

This is no longer a roadmap concept. The integration is working, and it opens the door to an entirely new class of core-connected software.

Live core connection
Core platformSilverLake System core
Secure integrationJHA SOAP · APIs · Microservices
Modern application layerInquiry · CRM · Analytics · Tasks

Current core data. Modern experiences. Built at AI speed.

Selected AI-developed systems

I am not presenting a theory. I have built the software.

My portfolio demonstrates how quickly deep banking knowledge, development experience and AI engineering can become practical systems—from enterprise operations to real-time core-connected applications.

Audit Tracker

A focused system that does an exceptional job of tracking audit findings, ownership, progress and resolution from identification through closure.

Findings · Ownership · Resolution

ComplaintTracker

A customer-complaint tracking system that brings complaints, follow-up, ownership and resolution into one accountable process.

Complaints · Follow-up · Resolution

Ticketing system

A practical internal ticketing system that improves visibility, assignment and accountability for issues and service requests.

Requests · Assignment · Status

Vendor management & TPRM

A vendor management system that integrates third-party risk management into one coordinated view for stronger oversight and accountability.

Vendors · TPRM · Oversight

Project management

A practical project management tool for organizing initiatives, ownership, tasks, milestones and status in one clear workspace.

Projects · Tasks · Milestones

AI governance

A purpose-built system for governing AI use, documenting decisions and creating the oversight banks need as adoption accelerates.

Responsible innovation

Enterprise risk management

An ERM system that organizes risks, controls, assessments and reporting into a practical management framework.

Risk · Controls · Reporting

Real-time SilverLake System access

A secure integration foundation that allows modern applications to access data from the SilverLake System core in real time.

The game changer

Real-time inquiry & CRM

Core-connected inquiry and CRM applications that put current SilverLake System information into a modern, usable experience.

Live core intelligence

Enhanced loan stress testing

An enhanced stress-testing program that turns loan and portfolio data into clearer scenario analysis, risk insight and management reporting.

Scenarios · Risk · Portfolio

Enhanced loan profitability

An enhanced profitability program that transforms lending data into actionable pricing, performance and decision-making insight.

Pricing · Performance · Insight
The experience behind the engineering

I developed software the old-fashioned way. Now AI has changed what is possible.

I am an active bank EVP and Chief Information Officer with more than 35 years of experience across bank operations and IT. I have also been developing software for years—designing, coding, testing and deploying applications long before AI entered the development process.

Before AI, I created a complete online banking system for a startup company. It was an ambitious, highly capable application built through traditional software development. That experience gave me the technical foundation to recognize what AI can accelerate—and the judgment to know whether the result is actually good software.

That foundation matters. AI does not replace banking judgment or software discipline—it amplifies them. Today I can engineer useful, sophisticated banking software faster and better than I could have ever imagined.

The people who understand how to combine real industry expertise, development skill and AI engineering are going to change the game.

Bank operations35+ years of practical banking experience
Information technologyActive bank EVP and Chief Information Officer
Software developmentYears of hands-on development, including a pre-AI online banking system
AI engineeringModern development with .NET, Blazor, APIs and microservices
Beyond banking software

Games, a song and a book—created for my kids.

I also built a separate site to share the games, song and book I created for my children. It is a different kind of portfolio, but it reflects the same curiosity, creativity and drive to turn ideas into experiences people can enjoy.

Visit the Games Site
Build Video 01 Watch the build

Vibe Code Your First App

This employee polling application took approximately two minutes to build. The video demonstrates how quickly an idea can become a working application when development knowledge and AI engineering come together.

Watch on YouTube
Buy old versus build new

Why should this scare traditional core vendors?

For decades, banks have bought mature applications and waited months or years for enhancements. AI engineering changes the economics and the timeline. I have taken multiple systems from an operational idea to a working application in hours—not months or years. This could be a new model for banking software: modern applications that can be customized with AI around the needs of each bank.

Buy old

  1. Keep modernizing software designed 10–20 years ago
  2. Wait for broad vendor roadmaps and release cycles
  3. Accept features designed for every bank, not your bank
  4. Measure meaningful change in months or years

Build new

AI engineered
  1. Start with the specific operational problem
  2. Combine banking judgment with development discipline
  3. Connect modern applications to real-time core data
  4. Customize with AI around the bank’s own needs
  5. Move from idea to a running system in hours when the scope allows
Partners & other opportunities

The next step requires the right connections.

I have proven ideas, working systems and a growing real-time core-integration capability. Right now, my priority is finding strategic partners with strong banking or technology-industry relationships who can help open the right doors and shape the next stage.

I am not simply looking for sales help. I am looking for people who understand the opportunity, have meaningful connections and want to help take CommunityBankSoftware.com to the next level.

Banking-industry connections Strategic product & partnership experience Active investment & growth relationships
Strategic partners, investors & industry leaders

Do you have the connections to help take this further?

If you understand the potential for AI-customizable, real-time banking software and know the people who should see it, I would like to hear your thoughts.

Share your thoughts
Email: bankerkev@gmail.com You can also find me on LinkedIn.