FMCG

Agentic AI-Powered IT Support Automation for a Leading FMCG Enterprise

How a Leading FMCG Enterprise Transformed IT Support Operations Through Enfin’s Agentic AI Automation Platform

Agentic AI-Powered IT Support Automation for a Leading FMCG Enterprise

How a Leading FMCG Enterprise Transformed IT Support Operations Through Enfin’s Agentic AI Automation Platform

Project Overview

Enfin Technologies helped a leading manufacturing enterprise modernize its IT support operations with an Agentic AI-powered IT support automation platform. The solution improved ticket triage, enabled self-service support, automated routine resolution workflows, and integrated with the client’s existing ITSM and collaboration systems. 

The platform helped the client achieve 70% automated ticket resolution, 80%+ first-contact resolution, 40% reduction in IT support costs, and 95% SLA compliance, while managing more than 10,000 support tickets every month. 

Client Overview

The client is a leading healthcare and lifecare manufacturing enterprise with 60+ years of contribution to India’s healthcare industry. The organisation has grown into an international business with a presence across 100+ nations, 7 manufacturing units, and a portfolio spanning pharmaceuticals, hospital products, contraceptives, vaccines, diagnostic kits, personal hygiene products, Ayurvedic products, and healthcare services. The client is also one of India’s leading healthcare manufacturing organizations, generating annual revenue of over ₹4,000 crore and maintaining a strong presence across global markets.

With operations across manufacturing plants, warehouses, distribution networks, and corporate offices, the client managed a large and distributed enterprise IT environment. As support requests increased across multiple locations, departments, and user channels, the organization needed a more scalable IT support model to improve response times, service quality, and operational efficiency. 

Managing 10,000+ support tickets every month required a smarter approach to enterprise IT support automation. Enfin partnered with the client to build an intelligent IT support system powered by Agentic AI. 

The Challenge

Scaling Enterprise IT Support Across a Distributed Business Environment

The client’s service desk was handling thousands of IT incidents and support requests every month across email, collaboration tools, ITSM platforms, and direct support channels. Manual ticket triage, assignment, and resolution workflows created delays, increased support costs, and made it difficult to scale IT support while maintaining SLA performance. 

Key challenges included: 

  • High volume of repetitive L1 and L2 IT support tickets
  • Manual ticket classification, prioritization, and routing
  • Support ticket routing delays across teams and locations
  • Limited employee self-service and knowledge deflection
  • Difficulty meeting SLA targets during demand spikes
  • Reactive incident management instead of proactive issue prevention
  • Rising IT support and service desk operating costs
  • Fragmented support experience across multiple user channels
  • Heavy dependency on manual remediation for routine issues

The organization needed more than a basic chatbot or rule-based automation tool. It required an enterprise-ready Agentic AI support platform that could classify tickets, automate routing, support self-service resolution, predict recurring incidents, and escalate complex issues with the right context.

The Solution

AI IT Support Automation Built for Enterprise Service Desk Operations

Enfin Technologies implemented an Agentic AI-powered IT support automation platform to streamline service desk operations across the enterprise. The platform combined AI ticket classification, intelligent ticket routing, self-service IT support, enterprise knowledge retrieval, autonomous remediation, and predictive incident management. 

The solution integrated with the client’s existing ITSM and collaboration tools, helping the organization automate support workflows without disrupting its current service desk operations. 

AI-Powered Ticket Triage and Routing 

The platform used AI-based ticket classification, prioritization, and routing to identify the issue type, urgency, category, and business impact of each support request. 

Tickets were automatically assigned to the right team based on predefined rules, SLA requirements, user context, and support queue availability. This reduced manual ticket triage, minimized routing delays, and helped support teams respond faster to critical issues.

Self-Service IT Support and Conversational AI 

The solution introduced a self-service IT support portal with conversational AI assistance. Employees could raise issues, ask questions, and get guided support through familiar channels. 

The AI used approved enterprise knowledge bases and support documentation to provide automated responses for common IT issues such as access requests, system errors, application support queries, and routine troubleshooting. This reduced repetitive support requests and improved employee support experience. 

Autonomous Remediation and Incident Prevention 

For approved scenarios, the platform triggered autonomous remediation workflows to resolve known issues without manual intervention. These workflows supported routine fixes, access-related actions, system checks, and recovery steps for recurring incidents. 

The platform also supported predictive incident management by identifying repeated issue patterns before they escalated. This helped the IT team move from reactive incident handling to proactive issue prevention.

Enterprise Integrations and Security Controls 

The platform integrated with ServiceNow, Jira, Zendesk, Microsoft Teams, Slack, Email, and Active Directory to connect support requests, ticket updates, escalations, communication, and user identity management. 

It also included enterprise-grade security controls such as SSO, role-based access control, audit logging, encryption, and compliance-ready governance. This ensured that automation remained secure, traceable, and controlled across the organization. 

Multi-Agent Support Workflow Automation 

For complex support scenarios, the platform used multi-agent orchestration for IT support workflows and escalations. Different AI agents handled tasks such as ticket understanding, knowledge retrieval, workflow execution, escalation decision-making, and incident pattern analysis. 

This helped the client automate not only simple requests, but also multi-step support workflows that required context, routing, action, and human approval where needed.

How the Platform Improved IT Support Operations 

The platform helped the client move from reactive ticket handling to proactive IT support. 

It automated routine requests, routed tickets faster, supported employees through familiar channels, triggered approved remediation actions, and detected recurring issues before they affected users. 

This reduced support workload, improved employee experience, and gave leadership better visibility into cost, performance, and service efficiency. 

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Measurable Results

The Agentic AI-powered support platform delivered measurable gains in service desk efficiency, cost optimization, SLA performance, and employee support experience. 

Impact AreaResult
Support tickets resolved through automation70%
First-contact resolution across supported scenarios80%+
Reduction in IT support operating costs40%
Platform uptime99.9%
Monthly tickets managed through the platform10,000+
SLA compliance achieved95%
Increase in L1 and L2 support productivity70%

These outcomes helped the client reduce manual L1 and L2 workload, improve support responsiveness across channels, and scale enterprise IT support without proportionally increasing headcount. 

Business Impact

The platform shifted the client’s IT support model from manual, reactive service desk operations to a more automated and scalable enterprise support function. Routine requests were handled faster through self-service, AI-assisted workflows, and autonomous remediation.

This reduced pressure on L1 and L2 teams, improved service consistency across support channels, and strengthened employee experience with faster access to IT support.

With better SLA adherence, predictive incident detection, and improved visibility into ticket trends, the client built a stronger foundation for long-term IT operations efficiency and enterprise support modernization.

Why This Matters for Enterprise IT Teams

Enterprise IT teams are under increasing pressure to manage higher ticket volumes, deliver faster employee support, and maintain SLA performance without continuously expanding support headcount. 

This case study shows how Agentic AI for IT support can help organizations modernize service desk operations with AI ticket classification, self-service IT support, intelligent routing, autonomous remediation, and predictive incident management. 

For enterprises using tools such as ServiceNow, Jira, Zendesk, Microsoft Teams, Slack, and Active Directory, Agentic AI can work as an automation layer across existing systems. It improves 24/7 support availability, reduces manual workload, and helps IT teams deliver faster, more consistent service while maintaining governance, security, and human oversight.

Key Technologies

The solution was built using a modern enterprise AI support stack designed for scalability, security, automation, and integration with existing IT support systems. The architecture supported use cases such as ServiceNow AI automation, Jira IT support automation, AWS-based AI support infrastructure, and FastAPI-powered Agentic AI workflows. 

Technology AreaStack Used
AI & AutomationClaude AI, Agentic AI Workflows, Multi-Agent Orchestration, Predictive Analytics, Autonomous Remediation
Backend ArchitecturePython, FastAPI, PostgreSQL, Redis
Frontend ExperienceReact, TypeScript
Cloud & InfrastructureAWS, Kubernetes, Docker, Terraform
Enterprise IntegrationsServiceNow, Jira, Zendesk, Microsoft Teams, Slack, Email, Active Directory
Security & GovernanceEnterprise SSO, Role-Based Access Control, Audit Logging, Encryption, Compliance Frameworks

 

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