// AIFLOW — AI Legacy Modernization

Develop faster with AI.
Your company sets the rules.

From analysis to hypercare, AI does the work, and key results move forward only after a person signs off.

Stages

Analysis, AS-IS sign-off, conversion & build, testing, UAT and hypercare. AI takes on the repetitive work at every stage, from reading legacy code to supporting the system after launch.

Suites

Each suite is built for one kind of legacy system. SAP EP, SAP ABAP and DB (Oracle) are available today, all on the same platform with the same sign-offs and standards.

Human

Sign-off

AI does the work, but key results move to the next stage only after the person in charge approves them. There’s no way to skip the check.

Your

Standards

Your coding standards and design system are built into the AI. Code that breaks them is blocked automatically at every GitLab push and in CI.

Customer reference

A global manufacturing group
is already using AIFLOW

SAP EP modernization and an SAP ABAP project are underway on AIFLOW today.

In progress

SAP EP modernization

SAP EP Suite

In progress

SAP ABAP project

SAP ABAP Suite

Validated in live demos at every level, from consultants to executives

Consultants
Project managers
Team leads
Executives

Problem

Why is legacy modernization so hard?

Systems that have run the business for decades can’t simply be rewritten.

Maintenance is running out

Mainstream maintenance for SAP NetWeaver 7.5 — the foundation of SAP EP — ends in 2027, and ECC is moving to S/4HANA. Modernization can’t wait.

→ AI takes the repetitive work, so the timeline shrinks

No documents, no experts

Business logic is buried in JSP, ABAP, RPG and PL/SQL written decades ago, and the people who wrote it have moved on.

→ We pull the business knowledge out of the code and write it down

External AI is blocked

Security policies block external LLMs, so off-the-shelf AI coding tools can’t touch core systems.

→ Connect your in-house LLM by configuration, within the limits you set

How we work

Speed from AI. Judgment from people. Rules from your company.

Three principles behind every suite.

Repetition to AI, judgment to people

Reading code, documenting it, rebuilding screens and rerunning tests is high-volume, rule-bound work. AI does it fast and without gaps, so your people spend their time deciding what to keep and what to change.

· Every screen, event and interface extracted from legacy code
· Screens rebuilt as they were, then moved to a new UI
· Test cases generated, regression runs automated

AI works only within the bounds you set

Your company decides which tools and systems AI can touch. Key results move on only after a person signs off.

· Every AI call goes through one in-house gateway
· SAP changes made under personal accounts, with approval and audit records
· Sensitive data kept out of AI’s reach

Your way, inside your walls

The AI follows your coding standards and design system as written, and code that breaks them is stopped at push. Development happens in an isolated browser workspace per user, connected to your in-house LLM.

· Standards built into dedicated AI agents
· Enforced at GitLab push and in CI
· An isolated workspace for every user

How It Works

Six stages. People decide at every one.

At each stage, AI takes the repetitive work and people make the calls that need business judgment.

StageWhat AI doesWhat people decide

01
Analysis
What AI doesExtracts every screen, event, interface and SQL statement from the code and writes a guide for each screen.
What people decideConfirm the business process map.
02
AS-IS sign-off
What AI doesLays out the evidence and proposes how portal-specific features should be replaced.
What people decideDecide what to keep and what to change.
03
Conversion & build
What AI doesRebuilds screens, converts them to the new UI, generates project scaffolds and code, and verifies the build.
What people decideReview the results and approve changes to SAP.
04
Testing
What AI doesGenerates and fills in test cases, turns one SAP GUI recording into an E2E test, and reruns regression every night.
What people decideAccept or reject test cases.
05
UAT & acceptance
Planned
What AI doesTakes in issues, links each one to its fix and tracks the retest.
What people decidePass or fail the retest and approve out-of-scope requests.
06
Hypercare
Planned
What AI doesTracks post-go-live issues and their retests.
What people decideConfirm before changes reach production.

Skip a check, and the next step stays closed

AS-IS can’t be signed off until portal-specific features are decided.
No DB conversion code is generated without a workflow a person has confirmed.
With approval turned on, no SAP change lands without a second person’s sign-off.
When code changes, earlier test passes are voided automatically.

AIFLOW Suites