Project

How an AI agent for service businesses works: from message to appointment

Technologies

Link:

An AI agent for a service business should not be limited to answering questions. Its useful job is to turn an unstructured conversation into a clear next step for the customer and the team.

The implementation running on this website follows a verifiable flow: it understands the goal, identifies the business and problem, gathers context, requests consent, records the lead, and offers real availability.

1. The visitor starts with a need

They can ask freely or choose a suggestion, such as capturing leads, answering after hours, booking automatically, or evaluating whether the agent fits their business.

2. The agent answers with approved information

The answer comes from a knowledge base with services, scope, indicative pricing, limits, and policies. If the information does not exist, the agent should acknowledge that or transfer the case, not fill the gap by inventing.

3. The conversation becomes qualification

The agent gathers only the data that helps determine the next step: goal, type of business, problem, inquiry volume, primary channel, and urgency.

4. Contact details are stored with consent

Before recording a name, email, or phone number, the system asks for permission. Qualification is stored in the CRM so the team receives context and does not force the lead to repeat the entire conversation.

5. Booking shows real times

When appropriate, the agent checks availability connected to the calendar. It does not promise a time written in a script; it presents available slots and records the selected appointment.

6. The system prepares follow-up

If the lead leaves their details with consent, the CRM keeps the activity and can generate scheduled follow-up. The goal is to prevent a useful conversation from disappearing in an inbox.

What the business needs before installing it

  • Services, areas, hours, policies, and pricing that are sufficiently clear.
  • A responsible person who approves answers and keeps information current.
  • Rules for when to answer, when to request data, and when to transfer to a person.
  • A definition of success: useful response, qualified lead, appointment, or reduced administrative work.

Try it before believing it

The agent on this website is the demo and the first living case study for the product. You can ask it a real question, go through qualification, and decide whether the flow makes sense for your business.

Technologies:

Playwright
Playwright
Node.js
Node.js
TypeScript
TypeScript
Web Scraping
Web Scraping
Automatización
Automation

Technologies:

ComfyUI
ComfyUI
SDXL
SDXL
Juggernaut XL
Juggernaut XL
WaveSpeed
WaveSpeed
Seedream
Seedream
Higgsfield
Higgsfield
Nano Banana
Nano Banana
Python
Python
IA Generativa
Generative AI

Technologies:

Hermes Agent
Hermes Agent
OpenClaw
OpenClaw
Telegram
Telegram
Python
Python
Cron
Cron
Obsidian
Obsidian
Notion
Notion
Tailscale
Tailscale
SSH
SSH
macOS
macOS

Technologies:

Swift
Swift
SwiftUI
SwiftUI
iOS
iOS
Xcode
Xcode
App Store
App Store
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