- Movate
How Movate Built an AI Pod for SDLC Automation with Lyzr
The problem statement
-
Limited
visibility
Engineering teams had to manually trace dependencies across multiple systems to understand the impact of code changes. This slowed reviews and introduced risks across services, APIs, and test cases.
-
Slow
test creation
QA teams spent hours turning user stories into test cases. Incomplete context and scattered information made the process inconsistent and heavily manual.
-
Fragmented
knowledge
Requirements, code, documents, and tests lived in different platforms. Teams struggled to form a unified view, slowing delivery and increasing the chance of misses.
- How Lyzr solved it ?
- A unified SDLC automation system was deployed using Lyzr Agent Studio, bringing context, structure, and automation into daily engineering workflows.
- Ingested Jira, GitHub, SharePoint, TestRail, and Rally into a single relationship-aware data layer.
- Automatically identified affected services, APIs, tests, and dependencies.
- Produced complete test scenarios from requirements and user stories.
- Delivered semantic code search and pattern discovery
- Orchestrated requests, maintained context, and coordinated specialized agents.
The outcome
- Higher engineering velocity
25–35% faster impact checks, 30–40% quicker test preparation, and consistent code patterns enforced automatically.
- Cross-team clarity
A shared knowledge graph replaced scattered data, reducing duplicated work and improving alignment across engineering and QA.
- Governed automation
OAuth-based authentication, role-based access, complete audit trails, and private AWS connectivity ensured secure, controlled automation at scale.
The outcome
Behind the scenes: How Lyzr builds enterprise AI on AWS
How Lyzr handled security for a leading AI & automation research firm
- Complaince
Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, ensuring enterprises can run their critical workloads safely.
- Data Residency
The data resides within the customer's own cloud, ensuring100% ownership and adherence to data residency requirements.
- Reflection
Lyzr's reflection module reduces the chances of hallucination. This feature is enabled in most critical applications for higher accuracy.
