About the Client
Spinny is one of India’s fastest-growing digital platforms in the used car marketplace, redefining how consumers buy and sell cars through a full-stack, technology-led model. With a presence across 20+ cities and a robust supply chain spanning sourcing, refurbishment, logistics, and delivery, Spinny has built a trusted ecosystem for high-quality pre-owned vehicles. Backed by strong investor confidence and a customer-first approach, the company integrates data, technology, and operational excellence to deliver seamless, transparent, and scalable automotive transactions across India.
Workshop Objective
The objective of this program was to enable Spinny’s business and engineering teams to design, deploy, and scale workflow automation using n8n, driving operational efficiency and intelligent decision-making. The program aimed to help participants:
- Identify high-impact automation opportunities across business operations and product workflows
- Build end-to-end automation pipelines integrating multiple systems and data sources
- Leverage AI-driven automation (agents, RAG, and guardrails) to enhance operational intelligence
- Develop production-ready workflows with reliability, monitoring, and error-handling capabilities
- Reduce manual effort, improve accuracy, and accelerate execution across operational processes
Workshop Summary
This onsite program was designed as a highly hands-on, application-focused intervention, tailored separately for business operations and engineering teams. The workshop followed a structured progression—from foundational automation concepts to advanced AI-powered workflows—ensuring participants could build, test, and deploy real-world automations. With over 60% practical learning, the program emphasized building production-ready solutions aligned to Spinny’s operational use cases.
Key Highlights:
- Hands-on labs enabling participants to build 6–7 production-ready automation workflows across business and engineering use cases
- Real-world automation scenarios including lead management, data pipelines, approval workflows, and operations monitoring systems
- Practical exercises on integrating multiple systems (APIs, CRMs, spreadsheets, communication tools) into unified workflows
- Simulation-based workflows involving human-in-the-loop approvals, escalation logic, and operational decision-making
- AI-powered use cases including sentiment analysis, data extraction, AI agents, and RAG-based knowledge systems
- Engineering-focused exercises on building APIs, handling webhooks, and implementing fault-tolerant production workflows
- Implementation of monitoring systems, error handling, and automated reporting for production-grade reliability
- Clear roadmap for scaling automation initiatives across business and engineering functions
Workshop Details
- Mode: On-site
- Audience: Business Operations, Business Analysts, Product Operations teams, and Software Engineers
- Batch Size: 40–45 Participants
- Duration: 1-Day Workshop
- Customized Modules: Separate tracks for Business Operations (no-code automation) and Engineering (API, RAG, and AI systems)
- Certification: Certificates provided to all participants
Trainer Profile
- 16+ years of experience in AI, data science, and enterprise automation solutions
- Specialist in Generative AI, Agentic AI, RAG systems, and workflow automation using n8n and modern LLM frameworks
- Proven track record of transforming manual business processes into autonomous, AI-driven workflows across industries such as pharma, healthcare, manufacturing, and financial services
- Extensive expertise in building multi-agent systems, AI orchestration, and end-to-end enterprise automation architectures
- Strong experience in integrating APIs, data pipelines, and business systems for scalable automation
- Worked with leading organizations including HPE, TCS, JPMorgan Chase, Cognizant, and ITC Infotech
- Known for bridging business requirements with technical execution, enabling teams to move from experimentation to production-grade AI systems
- Focused on delivering highly practical, implementation-led learning interventions aligned to real business outcomes
