Controlled inputs
Users work from functional requirements, selected EBX data context, and reusable prompt tools.
Governance, quality, and enterprise control
AISP is positioned as a governed delivery accelerator, not an uncontrolled AI coding shortcut.
Enterprise AI must be controlled.
For EBX delivery, the risks of generic AI are not abstract. A wrong lifecycle method, an invented API, or an inconsistent package structure can become a real implementation defect. AISP reduces that risk by placing control points around the AI generation process.
- Version-aware guidance for EBX, Java, and application server constraints.
- Structured component selection before code is generated.
- Reusable organizational guidance and project-specific standards.
- Validation before output is delivered to the team.
- Traceable artifacts that fit development workflows.
Governed AI execution
AISP supports a delivery model where AI accelerates expert work without bypassing engineering discipline.
Appropriate transparency
AISP provides transparency through the artefacts it delivers. Each output is structured, versioned, and traceable, giving customers clear visibility alongside consistent delivery value: controlled interpretation, EBX-aware guidance, validation, packaging, and dependable, production-ready results.
Controlled execution
The system guides the AI process toward the correct EBX architecture and coding standards.
Controlled outputs
Artifacts are structured for development use and aligned to project conventions.