60% Less Development Effort: Full SDLC Automation with Agentic AI for Enterprise Manufacturing
Industry
Manufacturing | Project Type: Full SDLC Automation with Multi-Agent Orchestration
Sanciti AI Agents: RGEN, CodeGen, TestAI | Orchestrated by: LEGMOD
60% SDLC effort reduction | 30-50% faster deployments | 100% requirements traceability | 90%+ test coverage
Client
A large manufacturing enterprise building a new operations platform to replace fragmented manual processes and disconnected tools across multiple engineering teams.
Challenge
- Multiple disconnected tools for requirements, coding, testing, and deployment creating handoff delays and context loss between phases. Each tool had its own data format, and information degraded every time it moved from one system to the next.
- No traceability linking requirements to code to test cases. Compliance audits required weeks of manual evidence assembly because no system maintained the thread from requirement through implementation to validation.
- Manual review gates slowing every release without improving quality. Reviewers lacked context about what changed and why, making reviews a time-consuming formality rather than a genuine quality check.
- Engineering team unable to scale delivery linearly. Adding engineers increased coordination overhead faster than it increased output.
Solution: Orchestrated by Sanciti AI LEGMOD
Sanciti AI’s LEGMOD orchestrated the entire SDLC pipeline, coordinating RGEN, CodeGen, and TestAI with continuous human oversight from requirements through deployment.
RGEN: Requirements Capture and Structuring
RGEN captured requirements from meeting transcripts, existing documentation, and stakeholder inputs. It generated structured user stories and use cases with full traceability to source artifacts. Requirements that would have taken weeks of manual analyst workshops were captured 60% faster.
CodeGen: Production-Ready Code Generation
CodeGen generated production-ready code from RGEN’s structured output with tech-stack alignment, OWASP/NIST quality scoring, and story coverage verification ensuring every requirement mapped to generated code. Peer review time dropped 35% because reviewers received pre-validated, standards-compliant output.
TestAI: Linked Test Generation
TestAI generated functional, regression, and performance test suites linked back to requirements through RGEN, achieving 90%+ coverage at first-time delivery and creating end-to-end traceability. Every test case connected to a specific requirement, and every requirement connected to specific code. LEGMOD governed the full pipeline with human review gates at each phase. All agent interactions passed through Sanciti AI’s guardrails. Audit trails documented every decision, change, and approval automatically.
Results
- 60% reduction in overall SDLC effort through orchestrated automation replacing fragmented manual handoffs between disconnected tools.
- 30-50% faster deployments with continuous, automated flow from requirements through testing to deployment-ready artifacts.
- 100% requirements traceability from requirement to code to test case, generated as a byproduct of the pipeline rather than assembled manually for audits.
- 90%+ automated test coverage at first-time delivery linked to requirements, ensuring quality validation covered the full scope of what was built.
Impact
A single orchestrated pipeline replaced five disconnected tools. Context loss between phases is eliminated. Engineering scales delivery by adding capacity, not coordination overhead.
Compliance documentation is generated continuously as part of normal delivery. Audit preparation that previously consumed weeks is now available on demand.
Sanciti AI agents: RGEN, CodeGen, TestAI. Orchestrated by LEGMOD.
