How is an AI agent different from a chatbot?
A regular bot follows a script: buttons and pre-written answers. An AI agent understands free text and decides which tools to use: knowledge-base search, a CRM lookup, a calculation, an email. That is why it handles questions nobody planned for.
What can an AI agent do for a business?
- Customer support. Answers from your documentation 24/7 and hands tricky cases to a person.
- Sales and leads. Qualifies a lead, asks follow-up questions and adds it to the CRM.
- Documents. Reads contracts, invoices and reports and extracts the data you need.
- Internal assistant. Answers staff questions from your policies and knowledge base.
- Voice. The agent can talk: speech recognition and text-to-speech.
How much does an AI agent cost?
| Included in an AI agent from $800 | Why it matters |
|---|---|
| Chatbot or agent on your data | Answers from your documents, not "the internet" |
| Claude or OpenAI, voice and TTS | The model is picked for the task and budget |
| CRM, website and Telegram integration | The agent works where your customers are |
| Request cost control | Caching and limits keep the AI bill in check |
Besides development there is the model itself — you pay the provider per request. I build in caching, model routing by request complexity and limits from the start, so these costs stay predictable.
When does an AI agent pay off?
Fastest where people spend a lot of time on repetitive answers and copying data: support, lead handling, document work. Start with one process, measure the result, then extend the agent.
How does development work?
- Call: we map the process and the data you have.
- Prototype on your data — you see how the agent answers.
- Integrations: website, Telegram, CRM.
- Launch, monitoring and tuning on real conversations.