AI agent

It really depends on what kind of customer service you are running and at what scale. I have tested several AI agents for my luxury travel business, and here is what I found:

For website chat and basic inquiries:
- Tidio with AI is solid for small to medium businesses. Easy to set up, handles FAQs well, and the handoff to human agents is smooth.
- Intercom with Fin AI is more powerful but expensive. Best if you have a higher volume of support tickets and need advanced routing.

For email-based customer service:
- Freshdesk with Freddy AI works well for ticket categorization and suggested responses. It learns from your past replies and gets better over time.

For WhatsApp and messaging platforms:
- WATI or Respond.io if your customers primarily communicate through WhatsApp, which is very common in Southeast Asian markets.

What I learned from implementing AI in customer service:

1. Do NOT let AI handle complex or high-value customer interactions without human oversight. For my yacht charter business, a booking inquiry worth thousands of dollars should never be fully automated. AI handles the initial qualification, then a human takes over.

2. Train the AI on YOUR specific data. Generic ChatGPT prompts are not enough for professional customer service. You need to feed it your product information, pricing, policies, and common scenarios.

3. Always provide an easy path to reach a human agent. Nothing frustrates customers more than being stuck in an AI loop when they have a real problem.

4. Monitor AI responses regularly, especially in the first few weeks. AI will sometimes give confidently wrong answers that can damage your reputation.

The best approach is a hybrid model: AI handles the repetitive stuff like business hours, basic pricing, and FAQs, while humans handle anything that requires judgment or empathy.
 
Honestly, there’s no single “best” AI agent for customer service. For most businesses, I’d go with Intercom Fin. It handles FAQs, customer conversations, follow ups, and can hand complicated cases to a human.

If you already use Zendesk, their AI agent makes more sense because it integrates directly with your existing support system.

For me, the most important thing isn’t the AI model itself. Good knowledge base + CRM integration + proper human handoff = a much better customer service setup.
 
Yeah @AnonimusJRS a raw gpt prompt is going to get you wrecked when it starts giving out fake discount codes or hallucinating refund policies lol. intercom fin is okay like @cooldeimon said but that per-resolution pricing is a total rip off if you have any real volume. if you want something flexible without paying enterprise tax look at voiceflow or maybe dify. you can hook them up to your own api, upload your kb docs, and set up a webhook to telegram or slack when a human needs to jump in. much cheaper and you actually control the system prompt so it doesn't go off the rails.
 
yeah @Voxlane is right about the intercom pricing, those per-resolution fees get insane fast if you have decent traffic. voiceflow is cool but if you want something even cheaper and easier to hook up to a custom db, look at coze or just building a basic flow in make.com using gpt-4o-mini. costs pennies compared to intercom and you can scrape your own site for the knowledge base in like ten minutes. just make sure you set up a fallback to slack or telegram so you can jump in when the bot starts looping... raw chatgpt prompts like @AnonimusJRS suggested is just asking for someone to prompt inject your bot into selling a $1000 service for $1.
 
After trying some well known tools, i decide to build it myself... and it's working flawlessly. Some weeks on claude code added to some days without sleeping, the result is agents that passively and actively answer and calls clients on phones, whatsapp and telegram. There are many github repos with foundations, just research a little and build your own solution bro!
 
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