AI agent development · chatbots · AI receptionist AI agents that answer, qualify and book — while you sleep.

AI agent development for small businesses in the US and Australia: we build agents and chatbots that answer, qualify and book. They answer from your own documents, handle lead qualification, book the call and hand off to a person when it matters. We've done this before — you won't have to think about the moving parts.

Get a free agent plan See what we build
  • Answers 24/7
  • Cites your documents
  • Hands off to a human
Sound familiar?

The questions don't stop when you do

  • “We miss leads after 6pm.”

    Most enquiries arrive when the office is closed. By morning, they've booked someone else.

  • “My team answers the same 20 questions every day.”

    Pricing, hours, availability, 'do you do X?' — hours a week of copy-paste replies.

  • “We can't paste client data into ChatGPT.”

    You want AI's speed without sending confidential information to someone else's servers.

How we see it

Four steps from inbox chaos to an agent that works

This is our routine, not an experiment. Each step is small, visible and yours to approve.

  1. Step 01

    Listen

    We read a few weeks of real enquiries — chats, emails, calls — and find the questions that eat your time and the moments a human must step in.

  2. Step 02

    Map

    We map every answer to its source (website, PDFs, price list) and write the rules: what the agent may say, when it books, when it hands off.

  3. Step 03

    Build

    We connect the agent to your website and WhatsApp, your knowledge, and your CRM and calendar — then test it against the real questions from step one.

  4. Step 04

    Run

    Each week we review transcripts, fix weak answers and add new ones. You get a short report: resolved, booked, handed off.

What we build

Seven AI agents we build for small businesses

Our AI agent development and AI chatbot development work comes down to these seven. Pick one or combine them — each runs on infrastructure you control and comes with a weekly review.

Project 01

Lead-qualifying AI agent

Answers questions on your website and WhatsApp, handles lead qualification and books the call — then hands off to your team with the full conversation.

  1. New chat: pricing question
  2. Lead scored 82 · fits your criteria
  3. Booked Tue 10:30 · CRM updated
You get
Agent on web + WhatsApp, CRM and calendar sync, weekly report
Live in
Typically 2–3 weeks
  • n8n AI agent
  • Typebot
  • Your CRM

Project 02

Knowledge chatbot (RAG chatbot)

A chatbot trained on your own documents that cites the source for every answer and says 'I don't know' instead of guessing.

  1. Q: What's the refund window?
  2. Found in policies.pdf · section 4
  3. Answered with source link
You get
Chatbot, document pipeline, answer-quality checks
Live in
Typically 1–2 weeks
  • RAGFlow
  • Docling
  • Open WebUI

Project 03

AI receptionist (voice)

Answers the phone 24/7 in a natural voice, books appointments and texts your staff a summary of every call.

  1. Call 7:42pm · new patient
  2. Booked Thu 9:00 · SMS confirmation
  3. Summary sent to front desk
You get
Phone number, voice agent, booking, call summaries
Live in
Typically 3–4 weeks
  • Pipecat
  • Cal.diy
  • n8n

Project 04

Private ChatGPT for your office

A ChatGPT-style assistant on your own server — your team gets AI speed, and client data never leaves your network.

  1. Staff login with company SSO
  2. Draft reply from case notes
  3. Nothing sent to outside AI
You get
Install, single sign-on, usage policy, staff guide
Live in
Typically 1 week
  • Ollama
  • Open WebUI
  • AnythingLLM

Project 05

Document data extraction

Invoices, forms and contracts read automatically — the fields land in your spreadsheet or CRM, with a human check for anything unsure.

  1. Invoice received by email
  2. Supplier, total, due date extracted
  3. Added to accounts · 1 flagged for review
You get
Extraction flow, review queue, export to your tools
Live in
Typically 2 weeks per document type
  • Docling
  • Paperless-ngx
  • n8n

Project 06

Browser automation agent

For portals without an API: an agent logs in, downloads the report or fills the form on schedule, and alerts you if anything changes.

  1. 06:00 · login to supplier portal
  2. Report downloaded · 3 new orders
  3. Posted to Slack · no errors
You get
Scheduled agent, error alerts, run history
Live in
Typically 1–2 weeks
  • browser-use
  • Playwright
  • n8n

Project 07

AI data labelling with human QA

Training data for your own AI: the model pre-labels, a person checks, and you get a clean dataset with a quality score.

  1. 5,000 items pre-labelled by AI
  2. Human review on low-confidence items
  3. Dataset exported · quality 97%
You get
Labelled dataset, QA report, labelling guide
Live in
Depends on volume
  • Label tooling
  • Python
  • Human QA
Under the hood

Proven parts, assembled for you

No experimental black boxes. Open-source tools used by thousands of teams, set up so you own the result.

Your data stays yours

Agents run in your cloud account or on your own server. Private setups use local models — nothing goes to outside AI.

Answers you can trace

Every answer points to the document it came from. If the agent isn't sure, it says so and hands off.

Watched, not abandoned

Conversation logs, cost tracking and a weekly review keep the agent accurate after launch.

Built on: n8n (208k★) · Ollama (185k★) · Open WebUI (157k★) · RAGFlow (93k★) · Docling (70k★) · Pipecat (17k★)

How it sounds

What the first call sounds like

  1. Clinic owner

    We lose calls after hours and my front desk is drowning in the same questions.

  2. Ruhan

    That's the most common one we see. Send us a few weeks of enquiries — we'll show you which questions an agent can take and where your team still needs to step in.

  3. Clinic owner

    What about patient data? I can't have it going to OpenAI.

  4. Ruhan

    Then it won't. We'll run the model on a server you control. You'll get a written plan and a fixed price before anything is built.

An example of a typical first call.

Working together

Three ways to start

Questions

AI chatbot development, answered

What does AI agent development include?
Our AI agent development covers the whole job: reading your real enquiries, mapping answers to your documents, connecting your website, WhatsApp, CRM and calendar, testing, and weekly reviews after launch.
How much does an AI chatbot cost for a small business?
It depends on the channels and systems involved. After a free assessment you get a fixed price in writing for the setup, plus an optional monthly plan for reviews and updates.
Will the AI agent make things up?
We limit it to your approved documents, make it cite the source for every answer and tell it to hand off when it isn't sure. Weekly reviews catch weak answers early.
Can the agent book appointments and update our CRM?
Yes. It connects to common calendars and CRMs, books the slot, saves the lead and passes the full conversation to your team.
Can we use AI without sending client data to OpenAI?
Yes. A private setup runs open-source models on a server you control, so confidential information never leaves your network.
Do you build on n8n?
Often, yes — n8n handles the connections between the agent, your CRM, calendar and messaging. We choose the tools that fit your systems, not the other way round.
Next step

Tell us the questions your team is tired of answering.

Send a few examples. We'll reply within one business day with what an agent could take off your plate.

Opens your email app with your message ready to send.

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