Enterprise AI adoption continues to accelerate. According to IBM’s Global AI Adoption Index, 47% of organizations have already deployed AI, while many others are actively evaluating where it can deliver measurable business value.
For IBM i organizations, however, the conversation shouldn’t begin with AI tools. It should begin with AI readiness.
The success of AI-powered IBM i solutions depends on how well your applications, business logic, documentation, and development practices are prepared for AI-powered IBM i modernization.
At Integrative Systems, we use AI to accelerate application understanding, modernization planning, development, and knowledge discovery, but only where it creates measurable value.
Every AI-assisted insight is validated by our IBM i specialists, helping you modernize existing IBM i investments while building an AI-ready foundation for continuous innovation.
AI is Changing IBM i Modernization. How You Apply it Matters More.
AI can help speed up application analysis, technical documentation, development, and delivery across IBM i ecosystem.
Perhaps, AI adoption shouldn’t mean simply automating existing tasks. The real opportunity is in applying AI for initiatives that create measurable value.
Such as AI-powered IBM i modernization.
We leverage AI throughout the IBM i modernization lifecycle to –
- Understand business logic
- Produce & validate documentation
- Decode application dependencies
- Expedite development & deliveries
- Devise and customize modernization planning per changing business needs
Before sharing any AI-assisted insight with you, our IBM i specialists ensure it matches your business priorities, IBM i application behavior, and long-term modernization objectives.
We use AI to build a personalized modernization strategy that focuses on retaining years of business logic and building upon it for what’s next.
Why CTOs are Leaning Toward AI-Powered IBM i Solutions
CTOs are leaning toward AI-powered IBM i solutions to modernize mission-critical IBM i workloads faster, seize the growing IBM i talent gap, and futureproof their operations. All of it while keeping their applications & data secure.
CTOs who think of AI-powered IBM i solutions as a replacement for their IBM i talent are mistaken by the hype of AI.
Pragmatically, AI is here to help accelerate mundane tasks that consume costly man-hours, not replace the resources.
When paired with seasoned IBM i expertise, AI can help modernize more efficiently without disrupting business-critical operations.
Amidst modernization initiatives, AI can help resolve challenges such as –
- Decoding complex IBM i applications
- Identifying modernization opportunities
- Ramping up application assessment and modernization planning
- Minimizing time spent analyzing legacy RPG code and business logic
Our Approach – AI Strengthens Expertise. It Doesn’t Replace It.
We use AI to improve delivery and not replace proven IBM i practices.
Our IBM i specialists leverage AI to speed up –
- Application understanding
- Analyze business logic
- Improve documentation
- Support development
- And identify modernization opportunities
Each AI-assisted insight you get is verified against your operational priorities and long-term modernization goals.
Assess Your IBM i Environments’ AI-Readiness Before Investing in AI
AI adoption is not a mere tool stack addition. It will affect your applications and data more than you think.
Our IBM i experts make a conscious AI-readiness assessment effort to –
- Understand application complexity
- Architecture dependencies
- Documentation gaps
- Modernization opportunities
As a result, you get insights into the best use cases where AI adoption can add measurable value.
Schedule Your Complimentary AI Readiness Assessment Now
How We Apply AI Across the IBM i Modernization Lifecycle
We pair AI with seasoned IBM i expertise to ramp up IBM i modernization journeys.
We don’t swear by the best of AI tool stacks. Instead, we focus on the best of use cases where AI can add measurable value to your IBM i modernization journey.
We use AI to –
- Understand IBM i application complexity & dependencies
- Validate high-impact modernization decisions
- Ramp up development & delivery
Beyond AI-assisted insights, we trust human judgement. Before sharing any AI-assisted insights with you, our IBM i specialists ensure it aligns with your modernization priorities.
We Leverage AI to Understand Applications Faster
Understanding decades of RPG, CL, DDS, and custom IBM i applications is often the biggest challenge in any modernization initiative.
We use AI-powered IBM i solutions to accelerate application discovery by –
- Analyzing RPG, CL, DDS, and database objects to accelerate application discovery
- Mapping application dependencies across IBM i programs and workflows
- Identifying embedded business rules and undocumented application logic
- Generating technical documentation from legacy IBM i applications
- Building application inventories to support modernization planning
Our IBM i specialists spend more time building a well-knit modernization strategy that aligns with your business priorities. They save time spent on understanding your IBM i applications by using AI.
We Use AI to Build Better Modernization Strategies
Clarity on which IBM i applications need to be preserved, integrated, enhanced, and modernized lays a foundation for a successful IBM i modernization.
We map AI-assisted insights with our decades of IBM i modernization experience to –
- Assess application complexity and modernization readiness
- Identify technical debt, obsolete code, and modernization blockers
- Map application dependencies to prioritize modernization initiatives
- Develop modernization roadmaps aligned with business objectives
- Recommend phased modernization strategies with minimal disruption
We pair AI with seasoned IBM i human expertise to help you modernize your IBM i
environment, while preserving the value of your IBM i investments.
We Use AI to Strengthen IBM i Development
AI-powered IBM i development is all about improving delivery without compromising on application reliability.
Our IBM i developers use AI to accelerate routine development activities while continuing to follow proven engineering practices.
We apply AI to support –
- Legacy RPG and CL code analysis
- Automated technical documentation updates
- Code quality reviews and impact analysis
- Test case generation and regression testing support
- Knowledge transfer across IBM i development teams
- Faster onboarding for new IBM i developers
We pair Git, VS Code, free-format RPG with modern DevOps practices. AI helps us deliver enhancements while maintaining application integrity & performance.
We Use AI to Support Modernized IBM i Environments
Deployment isn’t the end. A modernized IBM i environment requires ongoing monitoring and support to sustain across changing workloads and business priorities.
We leverage AI to help you –
- Maintain application documentation synced with code changes
- Collect institutional knowledge from legacy IBM i applications
- Ramp up onboarding through AI-assisted knowledge discovery
- Simplify collaboration with standardized technical documentation
- Support user training and organizational change management
We ensure you get an IBM i environment that’s easy to understand, maintain, and prepared for what’s next.
“AI doesn’t replace IBM i expertise. It amplifies it. By combining AI-assisted analysis with decades of modernization experience, we help clients understand applications faster, make better modernization decisions, and preserve the business knowledge their operations depend on.”
~ Stephanie Rabbani | Engagement Manager – IBM i, Integrative Systems.
Why Our AI-Led Approach Delivers Better IBM i Modernization Outcomes
AI, sure, accelerates IBM i modernization.
But AI can’t make critical modernization decisions, and it shouldn’t either!
Your IBM i applications contain decades of custom business logic, tightly coupled dependencies, and operational nuances that need a technical validation beyond AI-generated recommendations.
At Integrative Systems, we use AI to accelerate application analysis, dependency mapping, documentation, and code assessment.
Every AI-assisted insight is reviewed by our IBM i specialists to validate business rules, assess modernization feasibility, and align recommendations with your application architecture and long-term technology strategy.
This combination of AI-assisted analysis and IBM i expertise helps reduce modernization risk, improve implementation accuracy, and preserve the value embedded within your existing IBM i applications.
Where We Apply AI and Where Our Expertise Makes the Difference
AI improves speed and visibility across modernization initiatives. Our IBM i specialists provide the business context and technical judgment required to turn those insights into successful outcomes.
| We Use AI To… | Our IBM i Specialists Ensure… |
| Analyze applications and dependencies | Modernization decisions reflect business priorities |
| Generate technical documentation | Business rules are accurately validated |
| Accelerate development and testing | Application quality and reliability are maintained |
| Identify modernization opportunities | Recommendations support long-term business goals |
| Improve developer productivity | Every enhancement aligns with operational requirements |
By combining AI with proven IBM i expertise, we help organizations modernize efficiently without compromising the reliability of their business-critical applications.
“AI creates the greatest value when it’s integrated into an experienced modernization practice. It helps us move faster, uncover deeper application insights, and deliver modernization initiatives with greater confidence, while ensuring every decision is grounded in real business context.”
~ Stephanie Rabbani | Engagement Manager – IBM i, Integrative Systems.
Is Your IBM i Environment Ready for AI?
Successful AI adoption begins with understanding how prepared your IBM i environment is for AI-powered modernization. Our AI Readiness Assessment helps you identify where AI can create the greatest value, before you invest in modernization initiatives.
Our AI Readiness Assessment helps you evaluate –
- AI readiness of your IBM i applications
- Modernization priorities across your application landscape
- Documentation and knowledge gaps that need attention
- Opportunities to accelerate modernization with AI
- Development readiness for long-term AI adoption
The outcome? A prioritized roadmap that helps you modernize your IBM i environment and maximize the value of every AI initiative.
Schedule Your Complimentary AI Readiness Assessment
Frequently Asked Questions
1. What are AI-powered IBM i Solutions?
AI-powered IBM i solutions combine artificial intelligence with IBM i expertise to improve application understanding, accelerate modernization, strengthen development, and preserve business knowledge. At Integrative Systems, we use AI to enhance modernization services while validating every recommendation with experienced IBM i specialists.
2. How does AI support IBM i Application Modernization?
We use AI to analyze IBM i applications, identify dependencies, generate documentation, and uncover business logic before modernization begins. This reduces manual effort, improves planning, and accelerates IBM i application modernization with lower implementation risk.
3. What is AI Readiness for IBM i?
AI readiness evaluates how prepared your IBM i applications, data, documentation, and development practices are for AI adoption. Assessing readiness beforehand helps define modernization priorities and ensures AI delivers measurable business value.
4. Can AI Replace IBM i Developers?
AI helps speed up code analysis, documentation, and repetitive development activities. Perhaps experienced IBM i developers remain pivotal for validating business logic, designing modernization strategies, and making architectural decisions.
5. What is IBM Project Bob? How does it help IBM i Development?
IBM Project Bob is an AI-assisted development framework that supports IBM i modernization through automated builds, testing, and modern DevOps practices. It complements experienced IBM i developers by improving delivery efficiency and development consistency.
6. Why should You Assess AI Readiness before Adopting AI?
An AI readiness assessment identifies application complexity, documentation maturity, modernization opportunities, and development readiness before AI initiatives begin. This helps you prioritize investments and adopt AI with greater confidence.
With over 20 years of experience in IBM i (AS/400) development, modernization, and integration, Stephanie brings a unique combination of technical expertise, leadership, and customer partnership to the team.
She has led multiple modernization projects across global customers – helping them transform legacy systems into agile, cloud-ready, and future-focused environments.
