Capability 01
Ready-made RPG, COBOL RAG pipeline
A ready-made code and documentation digesting pipeline for RPG and COBOL so teams can start with a working, grounded RAG base immediately.
Code -> · AI
SOFEEi:
IBMi AI DEV RAG framework
Move to AI-assisted IBMi coding
in weeks instead of months
SOFEEi gives you a production-ready RPG and COBOL DEV (code) RAG foundation.
SOFEEi EYE gives you a visual control layer to tailor and manage your pipelines and run ingestion and inference flows transparently.
Launch real use of Copilot, Claude Code, Project Bob, and internal AI-agent workflows in weeks, not quarters.
Who this is for
Best fit: IBM i organizations with large RPG/COBOL landscapes (around 1M+ LOC), outdated or fragmented documentation, senior-knowledge concentration, and frequent change pressure from regulation or business demands.
- 1M to 20M+ LOC and 1000+ source members
- Change risk is high and manual impact analysis is slow
- Need repeatable, governed AI-assisted delivery workflows
sofeei // ai-dev acceleration fabric · real-time
SOFEEI
rag_core · ingestion & inference
Transition to AI-assisted DEV on IBMi
Main benefit: reduced transition time and fewer operational steps
6-9 months
without SOFEEi
Typical time to reliable rollout: 6-9 months
1
Explore tooling and architecture options
2
Prototype custom RPG and COBOL ingestion
3
Tune retrieval quality and guardrails
4
Build operational controls and governance
5
Onboard teams to scripts and runbooks
6
Scale after multiple pilot cycles
4-8 weeks
with SOFEEi
Typical time to reliable rollout: 4-8 weeks
1
Start from ready-made IBM i RAG foundation
2
Configure ingestion and inference visually
3
Connect preferred copilots and AI agents
4
Move teams to productive AI-assisted delivery
Single benefit: SOFEEI removes custom setup friction so IBM i teams reach AI-assisted development significantly faster.
01b · SOFEEI brings
Two practical capabilities that accelerate AI-assisted development on IBM i
Capability 02
Visual tool to tailor and operate RAG flows
SOFEEI-EYE: A visual, practical tool to tailor the predefined RAG pipeline and to manage ingestion flows and inference flows.
02 · Problem
AI-assisted development on IBMi may stall before it scales
Most teams can demo AI quickly, but struggle to operationalize it across real RPG and COBOL delivery workflows.
ERR_001
LLMs lack grounded IBM i context
Copilots and agents guess when RPG and COBOL semantics are not packaged into a trusted retrieval layer.
ERR_002
Pilots never reach production
Teams prove a concept once, then fail to scale ingestion, governance, and inference operations across environments.
ERR_003
Fragmented AI toolchain
Retrieval scripts, prompts, and vector stores live in separate silos, so delivery quality depends on manual coordination.
ERR_004
Security and residency blockers
Without an IBM i-native architecture, teams cannot satisfy data boundaries and governance requirements for enterprise AI.
ERR_005
Slow developer onboarding to AI workflows
Engineers spend weeks just learning custom prompts and ingestion scripts before they can ship AI-assisted changes.
ERR_006
No measurable adoption path
Leadership cannot tie AI initiatives to velocity and quality outcomes, so programs slow down or get deprioritized.
03 · IBM i + AI stack connection
Connect IBM i systems to modern AI-development workflows quickly
SOFEEI links your RPG and COBOL landscape to copilots, agents, and enterprise tooling through one governed RAG core.
IBM i / AS400
COBOL
RPG ILE
DB2
CL Scripts
SOFEEI RAG Core
Copilot
Claude Code
Project Bob
Internal AI Agents
REST API
04 · Acceleration path
From IBM i source to AI-assisted delivery in one continuous flow
No rewrite program needed. SOFEEI operationalizes ingestion, grounding, and inference so your teams can ship faster with confidence.
input layer
IBM i Source Landscape
ingestion
Code + Docs Digesting
core engine
SOFEEI + SOFEEI-EYE
output layer
Grounded RAG Context
consumer
AI-assisted Delivery
RPG / COBOL
DB2 / AS400 Files
CL Programs
SOFEEI RAG + Orchestration Engine
Vector + Graph Context
Governed API Layer
Prompt Gateway
Copilots
AI Agents
Dev Teams
05 · Solution
Production-ready foundation for AI-assisted development on IBM i
SOFEEI packages ingestion, retrieval, orchestration, and governance into one stack so engineering teams can move from pilot to production fast.
- Ready-made RPG and COBOL code + documentation digesting RAG pipeline
- SOFEEI-EYE visual controls to tailor ingestion, chunking, retrieval, and prompts
- Managed inference flows for copilots, agents, and custom AI applications
- IBM i-compatible deployment options for on-prem and cloud programs
- Built-in governance controls for secure enterprise rollout
- API-first integration with developer and delivery platforms
06 · Process
Four steps to operational AI-assisted delivery
Start in read-only mode, then scale safely. Each step is designed to shorten time-to-value for IBM i engineering teams.
01
Connect Sources
Connect RPG, COBOL, CL, and DB2 assets with secure read-only access and environment-aware controls.
02
Digest & Ground
Run the ready-made code and documentation digesting pipeline to produce grounded retrieval context for LLMs.
03
Tailor Visually
Use SOFEEI-EYE to tune chunking, retrieval settings, and prompt patterns for each team and use case.
04
Run Inference Flows
Deploy managed inference workflows to copilots, AI agents, and developer tools with measurable quality and velocity gains.
07 · Benefits
Measurable outcomes for AI-assisted IBM i delivery
Faster AI rollout
Move from experimentation to production AI-assisted development in weeks with a ready-made foundation.
Higher coding confidence
Grounded context reduces hallucinations and improves the quality of AI-generated suggestions and changes.
Governed enterprise usage
Control ingestion and inference flows with governance guardrails suitable for regulated enterprise environments.
3x faster team enablement
Give developers a consistent AI workflow so onboarding and day-to-day delivery become significantly faster.
Lower modernization risk
Use AI-assisted planning and implementation with grounded IBM i context to de-risk modernization roadmaps.
Trackable business impact
Measure gains in delivery speed, review cycles, and code quality to prove ROI of AI-assisted programs.
08 · Use cases
Where SOFEEI accelerates AI-assisted delivery now
01
Grounded coding copilots for IBM i teams
Provide Copilot or Claude Code with reliable RPG and COBOL context so developers can implement changes faster.
02
AI-assisted modernization sprints
Use retrieval-backed insights and managed prompts to speed up refactoring, modularization, and migration preparation.
03
Test generation and impact checks
Generate stronger test candidates and assess likely change impact with grounded context before deployment windows.
04
Onboarding accelerator for new engineers
Give every developer a consistent AI-assisted workflow so they become productive on IBM i projects much sooner.
05
Faster incident triage with AI agents
Route incidents through managed inference flows so support teams can troubleshoot and respond with better context.
06
Portfolio-wide AI governance
Standardize ingestion and inference patterns across teams while preserving flexibility for specific domain requirements.
09 · Audience
Built for teams scaling AI-assisted development on IBM i
CTO / VP Engineering
Scale AI-assisted development across portfolios
- Set a standardized rollout model for IBM i AI programs
- Track velocity and quality outcomes by team and initiative
- Enforce governance without blocking innovation
- Turn AI initiatives into measurable delivery gains
Senior Engineer / Architect
Ship faster with grounded copilots and agents
- Work with retrieval-backed coding assistance for RPG and COBOL
- Tune ingestion and retrieval behavior visually in SOFEEI-EYE
- Operationalize prompts and inference flows by use case
- Reduce rework caused by weak or missing context
Platform / DevOps
Operate secure, reliable AI pipelines on IBM i
- Deploy managed ingestion and inference workflows with guardrails
- Control environments and data boundaries for enterprise compliance
- Integrate AI services into CI/CD and release practices
- Expose controlled APIs for internal tools and agents
10 · Get access
Get in touch
1 - Learn more - get in touch with us
2 - Try together with us - save even more time: connect SOFEEI in a non-production on-premise or cloud environment and see a working ingestion-to-inference flow tailored to your teams.
No credit card. No production write access required. Response within 1 business day.