AI Chatbot Development

AI chatbots for customer support and lead capture

We build AI chatbots for websites, apps and messaging channels. They answer from your approved content, collect the details your team needs and hand the conversation to a person with full context. No canned decision trees and no invented answers.

  • Cites its sources
  • Writes leads to your CRM
  • Clean human handoff
Help center assistantIllustrative

Can I return an item after 30 days?

Our policy allows returns within 30 days of delivery. After that, our team reviews requests case by case. Would you like me to open a request for you?

Source citedHelp center · Returns & refunds policy

Yes please, order 10482.

Done. I've passed this to a support agent with your order details and our conversation. You'll get an email reply.

Handoffticket created · priority: normal · transcript attached

Four assistants, one standard of quality

Support

Customer support assistants

Product, policy, shipping and how-to answers from your help center, linked to the source article.

Sales

Lead capture and qualification

Your qualification questions, answers recorded in your CRM, a booking link for qualified visitors.

Accounts

Order and account helpers

Order status or appointment details through an authenticated integration.

Internal

Knowledge assistants

Staff find answers in policies, SOPs and documentation (retrieval-augmented generation).

What makes a business chatbot useful

  • Grounded answers: responses come from approved content, and the bot says when it doesn't know.
  • Structured outputs: names, emails, budgets and intent captured as fields, not buried in transcripts.
  • Clean handoff: the conversation moves to your help desk or sales inbox with a summary.
  • Brand fit: styled to your site, lightweight and accessible.
  • Measurement: resolution rate, handoff rate, leads captured and unanswered questions feed the next content update.

How a lead-capture bot routes visitors

Example rules evaluated in your browser. In a real project we agree your criteria and write them into your CRM.

When does the buyer want to start?
Does the stated budget fit your offer?
Are they the decision maker?
Routing result

Hot lead

  • Alert the account owner by SMS now
  • Offer the booking link in the chat
  • Create CRM deal: stage “Qualified”

Example rules running in your browser. Nothing is sent or stored.

From top questions to live assistant

  1. 01

    Audit

    Your top questions and the content that should answer them.

  2. 02

    Boundaries

    Fill content gaps and define what the bot must never answer alone.

  3. 03

    Build

    Retrieval index, conversation design and integrations.

  4. 04

    Test & launch

    Real past questions first, then a share of live traffic.

  5. 05

    Improve

    Weekly transcript reviews in month one.

Channels

  • Website widget
  • In-app chat
  • SMS
  • Messaging apps

Integrations

  • Zendesk
  • Intercom
  • Gorgias
  • HubSpot
  • Salesforce
  • Shopify
  • Slack
Will the chatbot make up answers?

We design against it. The bot answers from approved sources, is instructed to say when information is missing and is tested on real questions before launch. Sensitive topics are routed to people.

Can it book appointments or create leads in our CRM?

Yes, through your CRM and calendar APIs. Fields, duplicate handling and routing rules are agreed in the scope.

Should we use an off-the-shelf chatbot tool instead?

Sometimes, yes. If a packaged tool covers your channels and integrations, it can be faster. Custom development makes sense when you need specific integrations, data control or behavior those tools don't support.

Next step

Plan a chatbot your customers trust

Tell us about the workflow or product you have in mind. In a free 30-minute call we confirm fit, risks and a sensible first milestone, with a written scope before any work begins.

Discuss your AI project Request a project estimate

Free call · Scope agreed before work starts · US, UK, CA, AU