The Problem
The AI Gap Is Growing And Your IBM i Systems Are Caught in the Middle
Your IBM i platform runs mission-critical operations with a reliability your competitors envy. But while your core systems hold decades of proprietary business logic, they remain largely disconnected from the AI capabilities now reshaping every industry.
You’re feeling this pressure from multiple directions at once:
The retiring developer crisis
The developers who understand your RPG and COBOL applications—the business rules, the custom workflows, the institutional knowledge—are retiring. Finding replacements who understand both legacy platforms and modern AI isn’t just difficult. It’s becoming impossible.
The backlog that won't quit
Projects sit waiting not because they lack business value, but because your team lacks the capacity to execute them. Meanwhile, every month of delay is a month competitors pull further ahead.
The AI expectations gap
Business leaders need intelligent features this quarter. Customers expect real-time decision support, intelligent automation, and predictive capabilities. Your current systems can’t deliver—not because they lack value, but because they haven’t been connected to modern AI.
The cost of standing still is accelerating daily. The question isn’t whether to add AI to your IBM i environment. It’s which path gets you there fastest.
The Options
Two Paths to AI Enablement. Each Built for IBM i
There’s no single “right way” to bring AI to your IBM i environment. The right starting point depends on whether your biggest constraint is developer capacity and productivity, or the intelligence and capabilities of your applications themselves. Most enterprises need both. Here’s how each path works:
Path 01
Agentic Coding with CoderFlow
For teams that need to do more with the developers they have
If your backlog is growing, your team is stretched, and you’re worried about what happens when your most experienced developers retire, agentic coding is your answer.
CoderFlow deploys autonomous engineering agents that execute complete development cycles inside your infrastructure—writing, compiling, testing, validating, and fixing code without constant human prompting. Your developers shift from doing the work to orchestrating it: defining objectives, reviewing verified outcomes, and approving production-ready results.
Unlike IDE-based AI assistants that offer incremental productivity gains,
CoderFlow delivers 5–10x productivity improvements
by handling the entire development loop autonomously.
Best for: Development teams managing large backlogs, technical debt reduction, RPG/COBOL refactoring, and preparing for developer retirement.
Path 02
Application-Side AI with Profound AI
For teams ready to add intelligent capabilities directly to existing applications
If your goal is to enhance what your IBM i applications actually do—making them smarter, more responsive, and more competitive—Profound AI is your starting point.
Profound AI is the only solution that fully integrates with IBM i, enabling you to build AI-powered agents that access IBM i data, call IBM i programs and procedures, and even run IBM i commands directly. No deep AI expertise required. No rip-and-replace.
Natural language interfaces
Predictive analytics
Intelligent automation
Real-time decision support
Best for: Adding conversational AI, automating routine decisions, enabling data-driven insights, and delivering AI-powered user experiences without rebuilding your applications.
Not sure which path fits your situation?
Most enterprises benefit from both. Talk to an expert who understands IBM i and modern AI.
Profound Logic's Solution
AI Enablement Built for the Realities of IBM i Enterprises
Profound Logic has spent 25 years helping enterprises get more from their IBM i investments. We understand that your systems aren’t liabilities, they’re strategic assets. Our AI enablement solutions are built to add intelligence without disrupting what works.
CoderFlow
Agentic Coding for Complex Enterprise Systems
CoderFlow is not an AI coding assistant. It’s an autonomous engineering platform that runs complete development cycles inside your own infrastructure.
Autonomous agents compile, test, validate, and fix code in isolated containers—evaluating their own output against concrete success signals like successful builds and expected runtime behavior, not just generated text. Multiple agents can explore solutions in parallel, with automated comparison surfacing the strongest result. Developers review verified, production-ready outcomes rather than debugging AI fragments.
CoderFlow runs on-premises or in private cloud, integrates with your existing Git, JIRA, and CI/CD workflows, and supports IBM i natively—including RPG, COBOL, CL, 5250, and Rich Display Files—alongside modern stacks like Node.js, Java, and Python.
What You Get
Containerized agentic execution platform that runs inside your infrastructure
Parallel multi-model orchestration (Claude, OpenAI, Gemini, IBM Bob) with automated output comparison
IBM i-native AI tools for compiling, testing, and validating native objects
Templates for conversion, refactoring, and documentation
Automated UI and regression testing for 5250 and Rich Display Files
Full CI/CD and Git-based approval workflows
Role-based access controls, complete audit trails, and developer approval gates
Your development capacity scales. Your institutional knowledge is preserved. And your team focuses on outcomes, not execution.
Profound AI
Intelligent Capabilities for IBM i Applications
Profound AI brings the power of generative AI directly into your IBM i applications—without rebuilding them and without deep AI expertise on your team.
As the only AI solution with full IBM i integration, Profound AI allows your AI agents to access live IBM i data, call IBM i programs and procedures, and execute IBM i commands directly. This means AI enhancements can leverage your existing business logic rather than replicating it—preserving the institutional knowledge built into your systems while extending what those systems can do.
Using no-code agent creation, your team can design and deploy intelligent agents through natural language instructions. Profound AI connects to leading commercial and open-source LLMs—including OpenAI, Anthropic’s Claude, and Google Gemini—and remains model-agnostic, so you’re never locked into a single provider.
Capabilities you can add to existing IBM i applications
Natural language interfaces and AI-powered virtual assistants
Predictive analytics and real-time decision support
Intelligent automation of routine tasks and workflows
Data-driven insights surfaced directly within existing applications
Multi-language support for global user bases
New AI capabilities are added in days, not months without disrupting the systems your business depends on.
Frequently Asked Questions
Get answers to common questions about our services
Do I need to replace or rewrite my IBM i applications to use these solutions?
No. Both CoderFlow and Profound AI are designed to work with your existing IBM i systems. CoderFlow operates inside your infrastructure, running autonomous agents against your current codebase, repositories, and development environment. Profound AI integrates directly with your IBM i applications, accessing data and calling existing programs without requiring a rewrite. Enhancing what you have is the point.
How is CoderFlow different from AI coding assistants like GitHub Copilot?
AI coding assistants help developers write code more efficiently, but humans still drive every compile, test, debug, and validation step. CoderFlow handles the entire development cycle autonomously. Agents compile, test, detect failures, retry, and converge on validated results without constant developer intervention. Developers orchestrate objectives and review finished outcomes instead of debugging AI-generated fragments. That’s the difference between incremental productivity gains and 5–10x throughput improvement.
Is Profound AI really the only AI solution that integrates with IBM i?
Yes. Profound AI is the only solution that provides full IBM i integration—including the ability to access IBM i data, call IBM i programs and procedures, and execute IBM i commands directly. Other AI platforms require you to expose your data through APIs or middleware layers. Profound AI speaks IBM i natively, which means your AI agents can leverage existing business logic rather than requiring you to rebuild it.
How does CoderFlow handle security? Our data can't leave our environment
CoderFlow is designed with enterprise security as a foundation, not an afterthought. It runs on-premises or in your private cloud, and all execution—compiling, testing, validation, Git operations—stays inside your network. Only the minimal code context required for reasoning is sent to cloud LLMs. Full repositories, credentials, and production data never leave your environment. Agent execution happens in isolated containers with least-privilege access, and complete audit trails provide full visibility into every AI action.
Where should we start—agentic coding or application-side AI?
It depends on your most pressing constraint. If your development team is overwhelmed, your backlog is growing, and you’re concerned about developer retirement, CoderFlow addresses capacity and productivity first. If business leaders are asking for AI-powered features in existing applications—intelligent automation, predictive analytics, natural language interfaces—Profound AI adds those capabilities quickly without disrupting operations. Many enterprises pursue both in parallel. Our team can help you map the right sequence for your situation.
Ready to Bring AI to Your IBM i Environment?
Talk to an IBM i AI expert who can help you map the right strategy for your situation — whether that’s agentic coding, application-side AI, or both.