Can the AI agent integrate with our existing support tools?

Yes, we build custom integrations with your existing systems. Our AI agents connect to email platforms (Gmail, Outlook), CRM systems (HubSpot, Salesforce, Zendesk), analytics platforms (Amplitude, Mixpanel), payment processors (Stripe, PayPal), and your internal backend systems. Deep backend sync ensures user data is always present and valid during case processing. Additional channels like Instagram and website widgets can be added.

How do you prevent the AI from giving wrong or harmful responses?

We implement multiple safety layers: policy compliance rules that prevent responses violating your refund or support policies, human-in-the-loop review where complex cases are escalated to your team, response testing across hundreds of scenarios before launch, confidence thresholds that trigger human review for uncertain cases, version-controlled prompt templates for rollback if needed, and continuous monitoring of AI responses with alerts for unusual patterns. Every response follows your approved conversation guidelines.

What happens if the AI can't answer a customer question?

The AI agent escalates to human support when: it lacks sufficient context (subscription status, missing data in database), actions require approval (refunds, cancellations, discounts, email changes), or the customer is angry, threatening, or highly frustrated. The CRM ticket includes full conversation history, previous interactions (even from before AI launch), and a proposed response recommendation for your team.

How much does it cost to run an AI support agent per month?

Operating costs depend on conversation volume and LLM usage. For a fitness app handling thousands of daily conversations, costs typically range from $0.01 to $0.05 per conversation using GPT-4. A system handling 10,000 conversations monthly would cost approximately $100-500 in LLM API fees, plus hosting infrastructure ($50-200/month). Our admin dashboard provides real-time token usage tracking to monitor and optimize spending.

Can the AI agent handle conversations in multiple languages?

Yes, modern LLMs like GPT-4 support 50+ languages. We can configure your AI agent to detect the customer's language automatically and respond in the same language while following your English-language policies. This is particularly useful for businesses serving international customers without hiring multilingual support staff.

How do you train the AI on our specific support policies?

We work closely with your support department to crystallize business processes, SOPs, and knowledge base — brainstorming how to handle edge cases together. The AI is trained on your policies, successful conversation history (including pre-AI launch data), escalation rules, retention scenarios, and brand voice. We provide a prompt template editor in the admin panel for testing and updating responses without coding.

What data security measures are in place for customer information?

We implement comprehensive security: PII stripping that removes sensitive data before sending to LLM, end-to-end encryption for data at rest and in transit, secure API authentication for all integrations, encrypted database storage for conversation history, automated security updates and vulnerability patching, compliance with SOC 2 and GDPR data handling requirements, and regular security audits and penetration testing. Customer data is never used to train public AI models.

AI Support Agent admin panel showing automated email conversations and real-time monitoring

AI Agent Development

Support Automation

$0.02/Conversation

AI Support Agent for Fitness App

Q: How much does it cost to build an AI support agent?

AI support agent development costs vary based on integration complexity, training data requirements, and automation scope. A basic agent with email integration and refund automation typically ranges from $20,000 to $50,000. Complex systems with CRM integration, multi-channel support, and advanced analytics can range from $50,000 to $120,000+. We offer free consultations to provide accurate estimates based on your support volume and requirements.

Q: What types of customer inquiries can an AI agent handle?

AI agents can handle refund requests with policy compliance, subscription cancellations with retention offers (trials, discounts), technical troubleshooting, billing questions, account management, feature questions, and general FAQs. When a message contains multiple questions, the agent combines relevant SOPs to address each one. It automatically categorizes tickets, detects duplicates, filters spam, and responds in the customer's language while following your policies.

Q: How long does it take to build an AI support agent?

Development timelines depend on integration complexity and training data preparation. A basic AI agent with email integration takes 2-3 months, while complex systems with CRM integration, analytics platform connectivity, and multi-channel support typically require 4-6 months. We use agile methodology to deliver a working prototype within the first month, allowing you to test AI responses and refine conversation flows throughout development.

AI support agent that processes tickets from customer support system via webhooks, handling refund and cancellation requests instantly at scale. Currently email-based, with Instagram and website widget planned. Prevents chargebacks through 24/7 responses, intelligently escalates complex cases, and retains customers with personalized offers. Built with GPT-4 at $0.02 per conversation.

Fitness & Health

AI Agent Development

Backend Development

CRM Integration

Admin Dashboard

Results

24/7

Response Time

1000s

Daily Users

$0.02

Per Conversation

4h → 1m

Reply Time

Goal & Outcome

Goal

A fitness app with thousands of daily users faced a critical chargeback problem. Their Ukraine-based support team couldn't respond fast enough to US customers requesting refunds. When responses took 4+ hours due to time zones, frustrated customers filed chargebacks instead of waiting — costing the company lost revenue, processor fees, and potential account restrictions.

Manual 24/7 support wasn't financially viable. The solution needed to check refund eligibility based on usage data, provide policy-compliant responses, and create tickets for human review — all while responding in seconds to prevent chargebacks.

Outcome

We built a production-ready AI support agent that receives tickets from the customer support system via webhooks. The agent uses GPT-4 to analyze requests, syncs deeply with internal backend systems to validate user data, and intelligently escalates complex cases to humans while auto-resolving simple inquiries. We worked closely with the client's support department to crystallize business processes, SOPs, and knowledge base — brainstorming how to handle edge cases and retention scenarios. Our backend development team built an admin panel with conversation monitoring, cost tracking, and prompt management. The system handles thousands of conversations daily at $0.02 per conversation.

How It Works

1.Get Customer Message

AI agent receives tickets via webhooks from the customer support system. Currently email-based, with Instagram and website widget channels planned. Spam is filtered and duplicate tickets are detected automatically.

2.Analyze & Categorize

System categorizes tickets according to company SOPs, sets appropriate tags, and syncs with backend to validate user data (subscription status, usage history). Previous conversation history — even from before AI launch — is loaded for context.

3.Generate Response

GPT-4 generates a response following SOPs and conversation guidelines. If the message contains multiple questions, the agent combines relevant prompts to address each one. Responses are sent in the customer's language.

4.Resolve or Escalate

Simple inquiries are resolved automatically. Cases are escalated to humans when: context is insufficient, actions require approval (refunds, cancellations, discounts), or the customer is frustrated or angry. CRM ticket includes full history and AI recommendation.

Need AI-Powered Customer Support??

Get a free consultation and fixed-price estimate in 48 hours. No commitment required.

What We Built

🔌CRM Webhook Integration

Receives tickets from customer support system via webhooks. Currently email-based, with Instagram and website widget channels planned.

🚨Smart Escalation

AI escalates to humans when context is missing, actions need approval (refunds, discounts, email changes), or customer is frustrated or angry.

🏷️Auto-Categorization

Automatically categorizes and tags tickets based on company SOPs. Detects duplicate tickets and filters spam messages.

💰Retention Flow

Proactively offers trials and discounts to retain customers considering cancellation. Personalized offers based on user history.

⏰Automatic Follow-ups

Schedules follow-up messages based on business logic to activate users or complete unfinished conversations.

🧩Multi-Intent Processing

When a message contains multiple questions, AI combines relevant SOPs to craft a comprehensive response addressing each one.

🌍Multi-Language Support

Automatically detects customer language and responds accordingly while following company policies.

🕐Historical Context

Loads previous conversation history — even from before AI agent launch — to provide context-aware responses.

🔗Deep Backend Sync

Real-time sync with internal systems ensures user data is always present and valid during case processing.

📝Prompt Templates

Manage templates for cancellations, technical issues, feedback, and more with version control support.

📊Token Usage Dashboard

Monitor LLM token consumption, analyze spending, and predict future API costs.

🔒Data Privacy

Sensitive user data is stripped before sending to LLMs, ensuring compliance and security.

Under the Hood

AI-Driven Full-Stack Architecture

Modern full-stack architecture powered by NestJS and TypeScript, with PostgreSQL and Redis for data handling, React for frontend, and OpenAI GPT-4 for advanced AI capabilities.

NestJS

TypeScript

PostgreSQL

Redis

React

OpenAI GPT-4

The Team Behind

Bohdan

Full-Stack Developer

Built the entire MVP alone in 3 months.

Victoria

QA Engineer

Testing and quality assurance.

FaQ

How much does it cost to build an AI support agent?

AI support agent development costs depend on integration complexity and automation scope. Basic systems range from $20,000 to $50,000, while advanced platforms with CRM integrations and analytics cost $50,000 to $120,000+. Get a free consultation .

What types of customer inquiries can an AI agent handle?

AI agents handle refunds, cancellations, billing, technical issues, account management, and FAQs. They can combine multiple requests, detect duplicates, filter spam, and respond in the customer’s language while following your policies.

How long does it take to build an AI support agent?

Basic AI agents take 2–3 months, while advanced systems with CRM integrations and multi-channel support require 4–6 months. A working prototype is typically delivered within the first month.

Can the AI agent integrate with existing support tools?

Yes, we integrate with email platforms, CRMs, analytics tools, payment systems, and internal backends. Additional channels like website widgets and social media can also be connected.

How do you prevent incorrect or harmful AI responses?

We use policy rules, human review workflows, response testing, confidence thresholds, and continuous monitoring to ensure safe and accurate AI behavior aligned with your guidelines.

What happens if the AI cannot answer a question?

The system escalates to human support when context is missing, approval is required, or the situation is sensitive. Full conversation history and suggested responses are provided to agents.

How much does it cost to run an AI support agent?

Operating costs depend on usage, typically $0.01–$0.05 per conversation. A system handling 10,000 conversations monthly may cost $100–500 in AI usage plus $50–200 for infrastructure.

Can the AI handle multiple languages?

Yes, modern AI models support 50+ languages and can automatically detect and respond in the user’s language while following your business rules.

How is the AI trained on our support policies?

We train AI using your SOPs, historical conversations, escalation rules, and brand voice. Admin tools allow you to update prompts and refine responses without code.

What security measures protect customer data?

We implement encryption, secure APIs, PII masking, GDPR and SOC 2 practices, and regular audits. Customer data is never used to train public AI models.

Risk-Free Start

Your Free Trial Sprint

Week 1

Meet your team

Slack channel, assigned developer, daily standups. First code committed to your GitHub.

Week 2

Working prototype delivered

Technical spike or prototype complete. Architecture + budget roadmap for the full build.

You keep everything. Zero cost. Zero commitment.

Oleg Kalyta

Founder & AI Lead

What happens next:

1.You submit—We review within 24 hours
2.15-minute scoping call—We align on trial goals
3.Developer assigned—Within 48 hours
4.Working code in your repo—By end of Week 1