Customer Service & Support

Intelligent Customer Support Automation with AI Agent

An AI-powered customer support solution delivered 24/7 assistance and reduced customer response time by 60% through intelligent automation.

softreetechnology.com/case-studies
ai
0
Customer support availability
0%
Reduction in response time
Faster
Ticket classification and routing

Client Profile

A growing North America–based enterprise customer service organization handling high-volume customer requests across multiple channels needed to automate repetitive support activities while maintaining human oversight for complex cases. Softree Technology helped the organization implement an AI-powered customer support solution with an intelligent AI Agent, knowledge-grounded responses, automated ticket routing, and workflow integration, enabling 24/7 customer assistance and reducing response time by 60%.

Use Cases
AI Agents, Customer Experience, Customer Support Automation, Process Automation
Industry
Customer Service & Support
Project Type
AI-Powered Customer Support Automation
Scale of Operation
High-volume customer support operations across multiple channels with 24/7 AI-assisted support.
End Users
Customer Support Teams & Customers
Service Provided
AI Agent DevelopmentCustomer Support AutomationGenerative AIKnowledge ManagementWorkflow AutomationSystem Integration
The Client Challenge

Business Process Challenges

The organization was handling a high volume of customer requests across multiple channels, requiring support representatives to spend significant time answering repetitive questions, searching internal documentation, categorizing requests, and manually routing tickets. As customer interactions increased, maintaining fast and consistent support became increasingly difficult.

Customers often had to wait for responses to common questions, while support teams repeatedly searched knowledge bases and internal documents for relevant information. Manual ticket classification and routing also created delays and increased the workload for support representatives.

Key challenges included:

  • High volume of repetitive customer questions
  • Slow manual ticket classification and routing
  • Information distributed across multiple knowledge sources
  • Inconsistent response times and answers
  • Increased workload for support representatives
Our Approach

Our Strategic Approach

Softree Technology designed an AI-powered customer support platform centered around an intelligent AI Agent. Customer requests first pass through a conversational interface, where the agent identifies the customer's intent and gathers the context required to respond appropriately. LangChain connects the agent with enterprise tools, while LangGraph manages multi-step reasoning and decision flows.

The agent uses Retrieval-Augmented Generation (RAG) with a Vector Database to retrieve relevant information from approved knowledge sources such as FAQs, product documentation, policies, troubleshooting guides, and internal support content. This allows responses to be grounded in enterprise knowledge rather than relying only on general model knowledge.

For requests requiring operational action, MCP Server provides access to approved business tools and services. FastAPI supports the backend API layer, while n8n connects ticketing, notification, CRM, and workflow systems. Amazon Bedrock provides enterprise model access, AWS AgentCore supports the agent runtime, and Azure AI Foundry can support model evaluation and controlled AI testing where Microsoft-based AI services are required.

The resulting solution could automatically resolve routine requests, create and route tickets when necessary, and escalate complex or sensitive conversations to human support teams when confidence, policy, or business conditions required human judgment.

Our Solution Architecture

How we delivered it.

AB
Amazon Bedrock
Integrated Amazon Bedrock layer in the solution architecture.
AA
AWS AgentCore
Integrated AWS AgentCore layer in the solution architecture.
AAF
Azure AI Foundry
Integrated Azure AI Foundry layer in the solution architecture.
L
LangChain
Integrated LangChain layer in the solution architecture.
L
LangGraph
Integrated LangGraph layer in the solution architecture.
R
RAG
Integrated RAG layer in the solution architecture.
VD
Vector Database
Integrated Vector Database layer in the solution architecture.
F
FastAPI
Integrated FastAPI layer in the solution architecture.
MS
MCP Server
Integrated MCP Server layer in the solution architecture.
N
n8n
Integrated n8n layer in the solution architecture.
Visual Proof

Explore the Solution Through visuals

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The Outcome

What changed for the client.

The intelligent support workflow reduced repetitive support activity while making assistance available beyond traditional business hours. Customers could receive automated responses to routine requests, while complex issues remained visible to human support teams for appropriate handling.

Key outcomes included:

  • 24/7 customer support availability
  • 60% reduction in response time
  • Faster ticket classification and routing
  • More consistent knowledge-based responses
  • Reduced repetitive workload for support teams

The solution transformed customer support from a primarily manual response process into a connected AI-assisted operation. Support representatives could focus more on complex issues requiring human expertise, while the organization gained a scalable foundation for expanding AI support across additional customer service processes and channels.

Results & Business Impact

The numbers behind the rollout.

01
Customer support availability
24/7
02
Reduction in response time
60%
03
Ticket classification and routing
Faster
Reference Tech Stack

The full integration layer.

Amazon Bedrock
AWS AgentCore
Azure AI Foundry
LangChain
LangGraph
RAG
Vector Database
FastAPI
MCP Server
n8n
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FAQ

Frequently asked questions.

Softree delivers custom solutions across AI and automation, Power Platform, SharePoint customization, full-stack web and SaaS engineering, and data analytics.
We combine modern software engineering standards, secure cloud configurations, pre-built accelerators, and agile delivery methodologies to produce governed, scalable applications.
Our agile delivery model typically produces scoped initial MVPs in 4 to 8 weeks, with comprehensive enterprise deployments completed in 10 to 12 weeks.
Yes. We design and build secure custom API gateways, REST connectors, and database bridges to ensure our custom solutions integrate seamlessly with your existing legacy infrastructure.

Build faster with a reliable offshore engineering partner.

Partner with Softree to accelerate product delivery, modernize enterprise systems, and scale with confidence.

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What we offer

Enterprise Integration
Cloud Architecture
AI & Automation
Microsoft Solutions
Offshore Engineering

Offices

  • Bengaluru

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