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Movate Built an AI Pod for SDLC Automation with Lyzr
Case Study · Movate

Movate Built an AI Pod for SDLC Automation with Lyzr

Unified SDLC automation Context-aware engineering Centralized AI pod
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About the company

Movate is a global technology services and engineering firm managing a large, distributed software development ecosystem. Their teams work across Jira, GitHub, SharePoint, TestRail, and Rally, handling high-volume releases, complex dependencies, and extensive QA cycles. As workloads grew, fragmentation across systems made consistency and velocity difficult to maintain.

The challenge

The problem statement

01

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.

02

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.

03

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.

04

The approach

How Lyzr solved it

A unified SDLC automation system was deployed using Lyzr Agent Studio, bringing context, structure, and automation into daily engineering workflows.

Unified knowledge graph

Ingested Jira, GitHub, SharePoint, TestRail, and Rally into a single relationship-aware data layer.

Impact analysis agent

Automatically identified affected services, APIs, tests, and dependencies.

Test case generator

Produced complete test scenarios from requirements and user stories.

Code intelligence agent

Delivered semantic code search and pattern discovery

Results

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.

How Lyzr builds enterprise AI on AWS
Behind the scenes

How Lyzr builds enterprise AI on AWS
Security

How Lyzr handled security

01

Compliance

Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, ensuring enterprises can run their critical workloads safely.

02

Data Residency

The data resides within the customer's own cloud, ensuring100% ownership and adherence to data residency requirements.

03

Reflection

Lyzr's reflection module reduces the chances of hallucination. This feature is enabled in most critical applications for higher accuracy.

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