Human Handoff
Automatically detects frustration and connects to a human agent.
Enterprise AI Multi-Lingual Support Agent
Bespoke LLM agents automating 60% of enterprise support tickets.
AI Integration
Customer Success Leads, CTOs, Product Managers
$10,000 – $18,000
Enterprise Software
Industry
AI Implementation & Integration
App Type
2–3 weeks
Timeline
Web, API
Platforms
Project Overview
1
What We Built
- An intelligent support layer integrated with Zendesk and Intercom.
- Provides 24/7 instant support without scaling human headcounts.
- Ideal for: SaaS companies with high ticket volume, E-commerce retailers
2
The Challenge
- Support teams are overwhelmed by common repetitive queries, leading to slow response times and low CSAT scores.
- Waiting hours for simple answers
- Poorly handled multi-lingual requests
3
Our Solution
- Implemented Retrieval-Augmented Generation (RAG) to ground the AI's responses in the client's validated documentation.
- Switching to GPT-4 for better reasoning
- Vector embedding for fast knowledge retrieval
4
Results & Impact
- Achieved 60% ticket deflection and improved NPS by 25 points within 30 days.
- Instant 24/7 support
- Automatic language translation
- 60% cost reduction per ticket
Key Features & Scalability
Essential features and scalability measures that make this MVP powerful, user-friendly, and ready to grow.
Multi-Lingual Resolution
Fluently supports 50+ languages with high accuracy.
Context-Aware Memory
Remembers previous user interactions for personalized support.
AWS Lambda with high concurrency limits.
Initial infrastructure setup designed for growth and expansion.
Scaling Strategy
Clustered vector search, Edge inference
Handles 50,000+ support queries daily.
Traffic handling capability for high-volume concurrent users.
How We Built It
Our step-by-step development process from concept to deployment, ensuring quality and efficiency at every stage.
01
Data Indexing
Cleaning and vectorizing company documentation.
02
Prompt Engineering
Tuning the AI's persona, tone, and safety guardrails.
03
Integration
Connecting the AI agent to existing support tools like Slack/Zendesk.
04
Design System
Component-based architecture for easy branding updates.
05
Wireframes
Minimalist chat interface focusing on accessibility.
06
Handoff Process
Fully documented API schemas and UI specs.
Core Product Modules
1
User App
- Live Chat Widget
Bespoke UI that handles natural language conversations.
- API Layer
Connect any platform to the AI support agent.
2
Admin Panel
- Knowledge Base Manager
Upload PDFs and URLs to train the AI instantly.
- Conversational Analytics
Track AI resolution rates and human escalation triggers.
Technology Stack
We use modern tools to build AI apps that grow with you. We pick the best tools for each project, like React, Next.js, Python, and Go.
react
Learn more about react technology
typescript
Learn more about typescript technology
tailwind
Learn more about tailwind technology
python
Learn more about python technology
fastapi
Learn more about fastapi technology
nodejs
Learn more about nodejs technology
supabase
Learn more about supabase technology
mongodb
Learn more about mongodb technologyPerformance & Security
Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.
Frontend Performance
Streaming AI responses, Skeleton loaders
Backend Performance
Semantic caching, Parallel chunking
Database Performance
Vector indexing, Sharding
Authentication
Client-specific API keys and JWTs.
Data Protection
Encrypted knowledge storage, VPC-only API access
Security Best Practices
No data storage in LLM providers, Strict data isolation
Performance & Security
Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.
Frontend Performance
Streaming AI responses, Skeleton loaders
Backend Performance
Semantic caching, Parallel chunking
Database Performance
Vector indexing, Sharding
Authentication
Client-specific API keys and JWTs.
Data Protection
Encrypted knowledge storage, VPC-only API access
Security Best Practices
No data storage in LLM providers, Strict data isolation
Project Timeline
1
Knowledge Vectorization
1 week
- Vector DB
- Embedding Pipeline
2
Bespoke Agent Tuning
1 week
- Prompt Engineering
- Safe Launch
Explore Related Content
Discover more case studies, services, and insights
Case Study
Enterprise AI Knowledge Assistant
Connect your company's data and chat with your legacy knowledge base
Case Study
Customer Experience AI - Hyper-Personalized Support Agent
Scale your support team without increasing headcount using empathetic AI
Technology
Firebase
Google's comprehensive app development platform with backend services. Firebase provides authentication, real-time database, cloud storage, hosting, and analytics for building mobile and web applications.
Technology
Supabase
Open-source Firebase alternative built on PostgreSQL. Supabase provides authentication, database, storage, and real-time subscriptions with a developer-friendly API and dashboard.
Blog
Best AI App Development Tools in 2025: Empowering Smarter and Faster Applications
Discover the top AI app development tools revolutionizing mobile and web app creation in 2025. Learn about cutting-edge frameworks, AI coding assistants, no-code platforms, and automation tools to accelerate your development process.
Blog
Cursor AI Autonomous App Development Platform: Revolutionizing Software Creation
Discover how Cursor AI’s autonomous app development platform is transforming software engineering by automating coding, debugging, and deployment with AI-driven intelligence.
Ready to Build Your MVP?
Schedule a complimentary strategy session. Transform your concept into a market-ready MVP within 2-3 weeks. Partner with us to accelerate your product launch and scale your startup globally.