Contextual Self-Service
AI that resolves common issues by guiding users through steps.
Customer Experience AI - Hyper-Personalized Support Agent
Scale your support team without increasing headcount using empathetic AI
Customer Support Automation
SaaS companies, E-commerce giants, Service-based startups
$10,000 – $15,000
Customer Service
Industry
AI Conversational Platform
App Type
3–4 weeks
Timeline
Web Widget, WhatsApp Integration, API Support
Platforms
Project Overview
1
What We Built
- An end-to-end support orchestration layer that connects to your CRM, knowledge base, and ticketing system to provide unified AI assistance.
- Drastically improves CSAT (Customer Satisfaction Score) while reducing support costs by up to 60% within the first month.
- Ideal for: High-growth startups, D2C brands, Enterprise support teams
2
The Challenge
- Traditional chatbots are frustratingly rigid, while human support is expensive to scale and slow to respond 24/7.
- Long wait times
- Repetitive explanations
- Inaccurate automated answers
3
Our Solution
- Deploy a large language model (LLM) fine-tuned for customer empathy and grounded in specific company data to ensure accuracy and brand alignment.
- Real-time multimodal chat
- Automated ticket triage and routing
4
Results & Impact
- Reduced median response time from 4 hours to 0 seconds for a major D2C brand.
- Proved AI Empathy
- High ROI automation
- Significant support scale
Key Features & Scalability
Essential features and scalability measures that make this MVP powerful, user-friendly, and ready to grow.
Proactive Engagement
Detect frustrated users and intervene before they submit a ticket.
Multilingual Support
Support customers in 100+ languages with perfect fluency.
Auto-scaling cloud cloud functions to handle huge surges in support traffic effortlessly.
Initial infrastructure setup designed for growth and expansion.
Scaling Strategy
Multi-region deployment, Database clustering
Optimized for 100,000+ active conversations per day.
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
Knowledge Base Ingestion
Connecting and indexing company docs, FAQs, and Slack history.
02
Conversation Flow Design
Creating a natural, non-robotic user journey for all support paths.
03
Integration Layer Build
Connecting AI to existing CRM (Zendesk, Salesforce, etc.).
04
Design System
Friendly, approachable UI with clear visual cues.
05
Wireframes
User-centric chat designs focusing on accessibility and speed.
06
Handoff Process
Handoff with detailed conversation tree animations and specs.
Core Product Modules
1
User App
- Intelligent Chat Widget
Fast, responsive AI chat that can be embedded on any site or app.
- Brand Voice Config
Customize the AI's personality, tone, and empathy levels.
2
Admin Panel
- Insight Dashboard
Real-time analytics on ticket resolution and customer sentiment trends.
- Live Agent Handoff
Seamlessly transfer complex cases to human agents with full AI context.
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.
nextjs
Learn more about nextjs technology
tailwind
Learn more about tailwind technology
typescript
Learn more about typescript technology
nodejs
Learn more about nodejs technology
fastapi
Learn more about fastapi technology
python
Learn more about python technology
supabase
Learn more about supabase technology
redis
Learn more about redis technologyPerformance & Security
Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.
Frontend Performance
Lightweight widget payload, Optimistic UI response
Backend Performance
Semantic caching for frequent queries, Edge-based worker deployment
Database Performance
Optimized session storage, Read-replicas for analytics
Authentication
Secure API-key based widget integration.
Data Protection
Encrypted chat histories, Secure data sync with CRMs
Security Best Practices
PII redaction in logs, Strict data isolation
Performance & Security
Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.
Frontend Performance
Lightweight widget payload, Optimistic UI response
Backend Performance
Semantic caching for frequent queries, Edge-based worker deployment
Database Performance
Optimized session storage, Read-replicas for analytics
Authentication
Secure API-key based widget integration.
Data Protection
Encrypted chat histories, Secure data sync with CRMs
Security Best Practices
PII redaction in logs, Strict data isolation
Project Timeline
1
Discovery & Data
1 week
- Data map
- Personality profile
2
Development
2 weeks
- AI Engine
- Widget UI
- Connectors
3
Launch
1 week
- Beta testing
- Live integration
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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.