Powered by CoderFlow · Profound Logic
Most IBM i transformations stop when the engagement ends.
With CoderFlow and Agentic Futurization, the engagement is just the beginning.
Most firms bring consultants with AI tools. Profound brings CoderFlow, a purpose-built Agentic Futurization Platform that outlasts every engagement.
40% - 70%
Shorter Transformation Projects
4-5x
Increase In Regression Testing Velocity
5-10x
Developer Productivity On The Platform
The Problem
Every IBM i firm now has an AI story. Few have a purpose-built AI orchestration platform. And ours didn’t just start with AI, it started over 25 years ago.
AI accessibility turned every IBM i services company into a transformation expert overnight. CoderFlow is backed by 25 years of purpose-built algorithmic conversion tools and IBM i, specific software. The difference shows up in delivery, not the sales deck.
01 - The Determinism Problem
AI gives you "probably the same." Your business logic requires exactly the same
Generic AI tools produce probabilistic output. For futurizing RPG or COBOL programs that have run your operations for decades, probable correctness is not enough. Mathematical verification is. That is the foundation CoderFlow is built on.
Business Logic Risk
02 - The Dependency Problem
Most firms won't tell you this
When the engagement ends, the consultants move to their next client. So does your momentum. CoderFlow is not a staffing model. It is a platform that keeps running inside your infrastructure after every consultant has left.
Platform vs. People
03 - The Completeness Problem
Code conversion alone is not transformation
Converting code is one step. Without futurized CI/CD, automated testing, API enablement, and agentic orchestration in a single platform, you end up with modernized code running inside a legacy operating model. That is not transformation. That is a half-finished project with an AI label on it.
Half-Measure Risk
The Journey
Every phase. One platform. Multiple entry points.
Start where it makes sense. Enter at any phase and work forward. CoderFlow stays with you long after the project ends.
01/
Discover
02/
Document
03/
Convert
04/
Futurize
05/
Connect
06/
DevOps
07/
Orchestrate
08/
Automate
CoderFlow Platform
Runs inside your infrastructure across all platform enabled phases. Does not stop when an engagement ends.
System Analysis
Entry 01 – Discover
Automated deep-dive into your codebase. Dependencies, business logic complexity, conversion risk, and effort estimates. Best for IT and Business leaders who want to understand what they’re dealing with before committing.
Pre-Commitment Scoping
Best For
Discovery Engagement
Entry 02 – Document
A structured engagement that maps business processes, identifies quick wins, and builds a roadmap aligned to business outcomes. Right for organizations that need executive buy-in and a phased business case first.
Executive Alignment
Best For
Organizations needing executive buy-in first
Agentic Coding Starter
Entry 03 – Convert
Working CoderFlow environment. RBAC and governance configured. Git migration complete. Team trained and running autonomously. Upon completion you own a live agentic development environment, not a report.
10 weeks to live capability
Featured
Best For
Teams ready for immediate agentic capability
Full Futurization Program
Entry 04 – All Phases
End-to-end transformation spanning any combination of phases. Scoped to your objectives. Structured to deliver measurable ROI at each phase boundary, not at the end of a multi-year commitment.
Enterprise transformation
Best For
Technical Differentiator
Algorithmic first. AI second. Why the order matters.
Most approaches expose your most critical business logic to non-deterministic AI output. We don’t.
Phase 01
Algorithmic
Mathematically verified transformation
All the logic entrusted to the IBM i platform, including implicit loops, indicator management, file behavior, and memory management, is materialized as explicit, linear open code.
Run the same input 1,000 times, get the same output every time. One verified rule, applied consistently at scale. That is not a nice-to-have. It is the entire foundation of trust.
Result
Complete, functionally verified, platform-independent code. Ready for AI. No approximations.
Phase 02
AI Refactoring
Operating on clean input
By the time AI touches your code, the hard work is already done. AI works on code that is complete, in a language AI models understand deeply (Java or Node.js, not RPG or COBOL), and architecturally neutral.
AI output is faster, cleaner, and trustworthy because the business logic correctness was guaranteed in phase one. Approaches that skip phase one are gambling on AI getting your critical logic right the first time.
Result
Transformation at speed, without compromising on business logic fidelity.
Full Capability
Not just code conversion. The complete platform.
What separates Agentic Futurization from every approach that is code conversion and UI modernization only.
Exclusive
Profound Atomated Testing
Records interactions against the original application and replays them against refactored versions to detect any discrepancies. Purpose-built for large-scale code refactoring. Our competitors do not have this.
Unique Approach
Agentic Staff Augmentation
ur experts bring the platform with them. When CoderFlow consultants embed with your team, they are not just adding headcount, they are installing a permanent capability. The platform stays when the engagement ends. That is not how any other services firm operates.
Automated RPG-to-Git migration built into CoderFlow. Customers move off legacy source management onto a modern, AI-ready DevOps foundation as part of the platform, not a manual add-on.
AI agents write green screens directly in HTML, CSS, and JavaScript. No widget ceiling. Fully responsive across desktop, tablet, and mobile. No changes to the RPG application underneath.
IT-enabled agents that automate business processes beyond development. The platform extends from code futurization into the broader operational workflows that depend on IBM i systems.
Expose IBM i business logic via modern APIs. Part of the platform stack, not a bolt-on second vendor relationship. API enablement is the Futurize phase, not an afterthought.
Legacy and modern systems run side-by-side throughout the entire transformation journey. No big-bang cutover risk. The first platform to offer coexistence that scales across multiple disparate systems.
Database transformation runs alongside code conversion, not as a separate workstream. Complete transformation, not futurized code on top of a legacy data layer.
Move to cloud or hybrid at your own pace. Platform-independent output from the algorithmic phase ensures no vendor lock-in on the target architecture.
Standalone engagements available before full commitment. Technical or business-stakeholder focus, scoped to produce actionable insight rather than a generic assessment report.
Why CoderFlow Wins
What you are left with when the engagement ends, that is what separates us
Every other firm hands you a project. We hand you a platform that keeps running
Traditional IBM i Services Firms
Agentic Futurization with CoderFlow
Post-engagement operating model
Project ends, momentum stops
CoderFlow runs continuously inside your infrastructure
Business logic verification
AI output only; probabilistic fidelity
Algorithmic phase one guarantees mathematical correctness before AI touches code
Automated regression testing
Manual testing at scale; slow and incomplete
Profound Automated Testing integrated into the workflow
Customer participation during transformation
Wait for the project to finish
Teams operate on CoderFlow while transformation is still underway
Git migration
Manual services add-on
Automated, built into the platform
Governance for AI-generated code
Variable; depends on services team configuration
RBAC, audit trails, approval gates, isolated containers at platform level
IBM i depth
Generalist firms learning on your project
25+ years of IBM i futurization expertise behind every technical decision
Timeline
3 to 5 years
18 to 30 months, with measurable ROI at each phase
The Numbers
9-month project delivered in one month, by a single IBM i developer using Agentic Futurization
Regression testing completed 4–5x faster. Timeline cut by half. Validated by project actuals.
Primary stat: 18 months minimum transformation timeline
Traditional large-scale IBM i transformation: 3 to 5 years. Agentic Futurization, powered by CoderFlow: 18 to 30 months. The compression applies at any scale, with measurable ROI at every milestone.
4–5x
faster
Regression testing velocity Profound Automated Testing completes regression cycles 4 to 5 times faster than manual testing at scale. That is not a benchmark. It is a result from live transformation projects.
ROI
Phase
Measurable at every milestone Structured to deliver quantifiable business value at each phase boundary. Not a multi-year commitment with a single payoff at the end.
1
Day
Customer participation starts immediately Teams operate on CoderFlow from the first week of a Full Futurization Program. You are not waiting for a handoff that never feels complete.
25+
years
IBM i expertise behind every decision Profound Logic’s depth means no generalist firm learning curve on your most critical systems. Every CoderFlow architectural decision was built for enterprise IBM i environments.
Where to Start
You don't have to do everything. You just have to start
Four customer scenarios. Every one leads somewhere real.
Scenario 01
We need our green screens futurized
Enter at Futurize. Agentic Display Files let CoderFlow agents write screens directly in HTML, CSS, and JavaScript. Immediate, meaningful UX transformation. Fully responsive. No changes to the RPG application underneath.
Enter at Futurize
Scenario 02
We need to get off RPG or COBOL entirely
Start with System Analysis or Discovery Engagement to scope the work, then enter Convert. Full two-phase algorithmic plus AI conversion with Git migration included. CoderFlow orchestrates ongoing development post-transformation.
Enter at Convert
Scenario 03
We want to stay on IBM i and move faster with AI
Agentic Coding Starter Engagement. CoderFlow live, RBAC configured, Git migration complete, team trained and running autonomously at the end of week 10. Not a report. A working agentic development capability.
Agentic Coding Starter Engagement
Scenario 04
We have COBOL and need to futurize for cloud
Start with Discovery Engagement to align business and IT on the target state, then enter Convert. Two-phase conversion to Java or Node.js. Cloud-ready, platform-independent output. CoderFlow manages ongoing agentic development.
Enter at Discovery · COBOL
Ready for agentic futurization?
Start Your Futurization Journey Today
While your competitors wait years for a transformation to finish, your teams could already be operating on CoderFlow. Most firms hand you a report. We hand you an AI-native agentic orchestration platform.
Frequently Asked Questions
Get answers to common questions about our services
What is Agentic Futurization?
Agentic Futurization is a proprietary IBM i transformation methodology developed by Profound Logic and powered by CoderFlow. It goes beyond code conversion and UI modernization by integrating AI-driven automation, agentic orchestration, modern API architecture, automated testing, and futurized DevOps into a single platform. Unlike traditional transformation approaches, Agentic Futurization does not end when the engagement ends, CoderFlow continues running inside your infrastructure.
What is the difference between IBM i modernization and Agentic Futurization?
IBM i modernization typically addresses technical debt — updating interfaces, reducing liability, and stabilizing a platform. Agentic Futurization, Profound Logic’s unique methodology, goes further. It transforms IBM i into a future-ready competitive asset by integrating AI readiness, agentic coding, modern API connectivity, and automated testing into a platform that evolves continuously. Modernization closes the gap. Agentic Futurization builds the advantage.
What is CoderFlow?
CoderFlow is a purpose-built Agentic Futurization Platform developed by Profound Logic for IBM i transformation. It is not a generic AI tool or a consulting engagement. It is a platform that installs inside your infrastructure and keeps running after every engagement ends. CoderFlow covers the full transformation journey: Git migration, UI futurization, algorithmic code conversion, AI refactoring, automated regression testing, API enablement, and agentic business automation.
How is CoderFlow different from other IBM i AI tools?
Most IBM i transformation tools apply AI directly to RPG or COBOL, producing probabilistic output that may not match the exact behavior of your original programs. CoderFlow uses a two-phase approach: an algorithmic phase that mathematically verifies business logic correctness first, followed by AI refactoring on clean, verified code. The result is transformation at speed without compromising fidelity. CoderFlow also includes Profound Automated Testing, automated Git migration, and agentic orchestration — capabilities most IBM i firms cannot offer.
How long does an IBM i transformation take with CoderFlow?
Traditional large-scale IBM i transformation takes three to five years. Agentic Futurization with CoderFlow compresses that to 18 to 30 months, with measurable ROI delivered at each phase boundary — not a single payoff at the end of a multi-year commitment. Teams begin operating on CoderFlow from day one of a Full Futurization Program.
Do we have to do a full transformation to use CoderFlow?
No. CoderFlow offers multiple entry points depending on where you are. Organizations can start with a standalone System Analysis, a Discovery Engagement, an Agentic Coding Starter Engagement, or a Full Futurization Program. You can enter at the phase that fits your situation and work forward from there.
What happens to CoderFlow after the engagement ends?
CoderFlow runs continuously inside your infrastructure regardless of engagement status. This is one of the core distinctions between Agentic Futurization and traditional IBM i services. When the consultants leave, the platform stays. Your team continues operating on it, with RBAC, audit trails, approval gates, and governance already configured.
What is the difference between CoderFlow and a traditional IBM i services firm?
Traditional IBM i services firms deliver a project. When the engagement ends, momentum stops. CoderFlow delivers a platform. It installs inside your infrastructure, governs AI-generated code, automates regression testing, manages Git migration, and orchestrates ongoing agentic development — independently of any active engagement. Profound Logic also brings 25+ years of IBM i-specific expertise, meaning no generalist learning curve on your most critical systems.