We combine AI with decades of IBM i expertise to understand core IBM i business logic, modernize with confidence, and prepare you for what’s next.
As your support partner, we don’t just bring technical skills – we become an extension of your team that understands how your business actually runs.
IBM i teams are exploring ways to improve applications, data, development, and documentation without disrupting established business processes.
See how AI helps teams understand applications, business logic, and reduce the effort to modernize complex systems.
IBM i skills have become the top concern for IBM i shops, reinforcing the need to understand applications, business logic, and data before introducing AI.
Source – Fortra, 2026 IBM i Marketplace Survey
AI adoption starts with an IBM i environment that is ready for it.
AI readiness means the preparedness of an IBM i environment for AI adoption across data, business logic, modern development practices, and integration-ready applications.
Most organizations start their IBM i AI journey by evaluating AI tools. The right step is to evaluate the AI readiness of their IBM i environments first.
The best of AI-powered modernization initiatives struggle to deliver without a clear know-how of applications, data, dependencies, and business processes.
Organizations focusing on AI readiness first, find it easy to –
The goal is to help you adopt AI in IBM i with clear context and know-how of applications & data.
We integrate AI into each stage of the modernization lifecycle to speed up application understanding, improve modernization decisions, and reduce manual efforts.
We use AI-powered IBM i solutions to analyze RPG, CL artifacts, decode business rules, identify application dependencies, and speed up IBM i application modernization planning.
Our IBM i specialists verify AI-generated insights, identify modernization blockers, prioritize IBM i modernization opportunities, and define a roadmap aligned with your business goals.
We design IBM i modernization solutions, API strategies, integration patterns, and target architectures that prepare your applications for AI-powered modernization without disrupting critical operations.
Our IBM i developers combine AI-assisted code analysis, Git, VS Code, free-format RPG, and modern IBM i development practices to speed up delivery while preserving core business logic.
AI accelerates impact analysis, regression planning, and test preparation, while our IBM i experts validate business rules, integrations, and critical workflows before production deployment.
We equip your IBM i developers, administrators, and operation teams with AI-assisted documentation, modern development practices, and knowledge transfer to support long-term IBM i development.
We manage production cutover, environment validation, stabilization, and post-deployment optimization to help you adopt AI-powered IBM i solutions with confidence.
We use AI to analyze established IBM i applications, understand existing business logic, and accelerate modernization without replacing what already works.
AI is reshaping how IBM i teams’ work.
It accelerates analysis, improves documentation, and helps developers navigate complex applications faster.
Yet, AI is most effective when paired with experienced human judgment.
AI can assist with –
These capabilities help our teams understand IBM i applications faster, prepare consistent documentation, and save time invested in repetitive analytical tasks.
Human experience still matters to –
AI can accelerate execution. Human expertise remains essential for decision-making.
The most successful AI initiatives combine AI-assisted analysis with people who understand the business processes, applications, and decisions behind the code.
With over 20+ years of experience helping enterprises develop, maintain, optimize, and modernize IBM i applications, Stephanie is ready to help futureproof your IBM i environments. From green screen modernization and API integration to cloud readiness, workflow automation, and performance optimization, Stephanie brings in-depth technical expertise and strategic insights to every engagement.
Integrating AI with IBM i is the modern-day demand. Most organizations already know how AI can help.
The idea is to address a bigger question – “Is our IBM i environment ready for AI adoption?”
Before you invest in IBM i modernization with AI, AI automation in IBM i or long-term IBM i AI initiatives, it’s essential to assess whether your applications, processes, and people are ready for the change or not.
👉 Schedule Your Complimentary AI Readiness Assessment
AI tools are evolving rapidly. IBM i environments aren’t!
Our goal is to devise how AI can be integrated into your IBM i applications, business rules, integration frameworks, and established business processes.
We assess your IBM i applications, processes, and people to understand where AI can help realistically. Next, we help prepare your IBM i environment for modernization & future AI initiatives.
We prioritize AI readiness ahead of tooling.
Because preparing your applications, data, and development practices for AI is far more important than defining the AI-stack beforehand.
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AI-powered IBM i solutions make use of artificial intelligence to analyze your application behavior, prepare and maintain consistent system documentation, help developers understand, review & explain legacy code, automate mundane workflows, and use data that’s already present for making better business decisions.
AI readiness is the preparedness of an IBM i environment, including applications, data, processes, and people, to support AI-led initiatives. Organizations that are AI-ready have to invest less time addressing documentation gaps, application understanding, and data connectivity once AI adoption starts.
AI can help you review IBM i applications, understand dependencies, document set business rules, and plan data-led modernization strategies. Your team knows what needs to be preserved, what needs to be modernized, and what needs to be replaced before the modernization initiative begins.
AI for IBM i developers can prove helpful in understanding, reviewing and explaining legacy RPG code. It can also be helpful in consistent documentation, test case generation, and establishing profound application understanding.
IBM AI Project Bob is a modern-day development environment and intelligent pair programmer. Bob acts as an AI assistant for IBM i developers to help devise complex tasks and coordinate across code, documentation, tests, and the deployment pipeline. It supports diligently in refactoring & modernizing legacy applications.
AI readiness assessment allows you to assess your IBM i applications, environment, development maturity, data accessibility, document quality, and modernization readiness before investing in AI. In simple words, it helps you understand where you are at today, and what you must prioritize before adopting AI.
The success of adoption of AI on IBM i systems depends on how well your IBM i applications, data, and development practices respond to it. And, not on the tooling itself.
We help you visualize where your IBM i environment stands today and what you must do before beginning with an AI initiative.
Get a clear view of what to address, what to prepare, and where to start.
Fill this form, let your IT story unfold,
Via the details, our solutions behold.