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Saksoft
Case Study · AI Multi-Agent Automation

Saksoft

Operational Cost Reduction Productivity Boost Improved Accuracy & Experience
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About the company

Saksoft is a global IT services company with over 1,300 employees across 20 countries. Focused on digital transformation, Saksoft supports enterprise clients with innovative solutions across cloud, data, automation, and product engineering.

The challenge

The problem statement

01

Scattered HR Operations

75% of HR time lost to repetitive queries, causing 48-hour delays across global teams.

02

Development Bottlenecks

Developers lost 40% productivity due to code search inefficiencies, leading to 6-month release cycles.

03

Manual Testing Overhead

8-week QA cycles with only 60% test coverage, causing post-release bugs and client dissatisfaction.

04

The approach

How Lyzr solved it

Saksoft implemented a centralized Lyzr Multi-Agent System built on AWS and powered by Claude 3.5 
Sonnet via Amazon Bedrock, enabling automated, intelligent, and scalable operations across teams.

Unified Multi-Agent Architecture

Three AI agents (HR, Coding, Testing) operate within a shared knowledge base. Context-aware responses via Retrieval-Augmented Generation (RAG). Seamlessly integrated into existing systems using AWS-native tool.

HR Agent Automation

Ingests HR policies, benefits, and payroll data into a searchable knowledge base. 24/7 employee query resolution via natural language chat. Connects with HRMS APIs for real-time info (payroll, leave, benefits). Escalates complex issues with full context to HR reps.

Coding Agent Intelligence

Analyzes GitHub repositories to extract architecture, functions, and code patterns. Enables natural language code search with smart suggestions. Auto-generates code aligned with project conventions. Deploys sub-agents for repo analysis, code snippet generation, and search.

Testing & QA Agent Orchestration

Converts user stories into detailed test cases. Auto-generates API, DB, security, and story-based tests. Integrates with CI/CD pipelines for continuous testing. Sends actionable QA insights to dev teams in real-time.

Results

The outcome

Operational cost reduction

Saved $2.8M annually with a 60% cut in operational costs through automation.

Productivity boost

Freed 5 HR FTEs, boosted dev velocity by 50%, and cut QA time from 8 weeks to 2.5 weeks.

Improved accuracy & experience

Achieved 95% HR query resolution, 92% test coverage, 35% fewer bugs, and 45% faster feature releases.

How Lyzr builds enterprise AI on AWS
Behind the scenes

How Lyzr builds enterprise AI on AWS
Security

How Lyzr handled security

01

Data Residency

The data resides within the customer's own cloud, ensuring 100% ownership and adherence to data residency requirements.

02

Compliance

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

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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