AI chatbot development

Chatbots that answer accurately, then step aside

We build AI chatbots grounded in your own documentation and data, so they answer customer and staff questions accurately, capture leads and hand over to a person when the question needs one.

The problem

Why most chatbots frustrate people

Scripted bots cannot handle real questions, and unguarded AI bots can make things up.

Rigid decision trees

Users are forced through menus that never match their question.

Made-up answers

AI bots without grounding invent policies and prices.

No way to a person

Customers get stuck in a loop with no handover.

Disconnected from systems

The bot cannot look up orders, bookings or accounts.

Our approach

Grounded, connected and supervised

Our chatbots answer from approved sources, connect to the systems that hold the answers and know when to escalate.

What you get

  • Answers grounded in your documentation, with sources
  • Clear limits on topics the bot should not handle
  • Lookups in your CRM, store or booking system
  • Smooth handover to your team with full context
  • Conversation review and continuous improvement

Capabilities

What our AI Chatbot Development work covers

Pick one capability or combine several. Each is scoped, estimated and delivered with the same engineering standards.

Website chatbots

On-site assistants for pre-sales and support questions.

Lead capture and qualification

Collect details and route qualified leads to sales.

Help desk assistants

Chatbots in Zendesk, Intercom or Freshdesk that deflect routine tickets.

WhatsApp and Slack bots

Assistants on the messaging channels your customers and staff use.

Quality review

Conversation logs, feedback and regular accuracy checks.

In practice

Automation patterns we build

Business event, AI processing, system action, notification. Select an example to see how it runs.

  1. Leadform.submitted
  2. AI Agentqualify + enrich
  3. CRMdeal.created
  4. Slack#sales notified

How we work

How we deliver AI Chatbot Development

  1. Scope

    Which questions the bot should answer and which it should hand over.

  2. Prepare content

    Gather and structure the sources it will answer from.

  3. Build and test

    Build, test with real questions and tune.

  4. Launch and review

    Go live and review conversations regularly.

Technology

Technology we use

Chosen for reliability, maintainability and fit with your existing stack.

Models

  • OpenAI
  • Anthropic Claude

Channels

  • Website widget
  • WhatsApp Business Platform
  • Slack
  • Microsoft Teams

Help desks

  • Zendesk
  • Intercom
  • Freshdesk

Data

  • pgvector
  • Vector databases
  • n8n

Use cases

Where teams put this to work

Common starting points. Your process will have its own details, which is why every engagement starts with discovery.

  1. 01

    Pre-sales assistant

    Answers product questions and books calls.

  2. 02

    Support deflection

    Resolves routine questions before they become tickets.

  3. 03

    Order status bot

    Looks up orders and deliveries on request.

  4. 04

    Staff help bot

    Answers HR and IT questions from internal policies.

Industries

Built for operational teams across industries

The patterns carry across sectors. What changes is the data, the systems and the rules, and we learn those first.

  • E-commerce & retail

    Order, inventory and customer-service automation connected to your store and ERP.

  • SaaS & technology

    Product engineering, integrations and AI features for software companies.

  • Education

    Admissions, learning platforms and administrative automation.

  • Real estate

    Lead handling, listings and transaction workflows for brokerages and property teams.

  • Professional services

    Automated intake, document workflows and client reporting for agencies, consultancies and firms.

FAQ

AI Chatbot Development questions

Straight answers to the questions that come up in first calls.

Ask us directly
How do you stop the chatbot making things up?

We ground answers in your approved content, instruct the bot to say when it does not know, limit the topics it handles and review conversations. For sensitive topics it hands over to a person.

Can the chatbot work on WhatsApp?

Yes. We can deploy the same assistant on your website, WhatsApp and internal tools such as Slack.

What is the difference between a chatbot and an AI agent?

A chatbot mainly answers questions in conversation. An AI agent takes actions in your systems to complete a task. Many projects combine both.

Related services

Most engagements touch more than one discipline. The same team can take you from strategy to production.

01

AI & Automation

AI agents and workflow automation that remove manual work across your tools.

  • AI agents
  • n8n, Zapier & Make
  • CRM automation
  • AI integrations
02

n8n Automation

n8n workflows, self-hosting and migrations from Zapier or Make, built and maintained for you.

  • n8n workflows
  • Self-hosted n8n
  • Zapier & Make migration
  • AI agent nodes
03

AI Agent Development

Custom AI agents that qualify leads, triage support and process documents, with human oversight.

  • Lead qualification agents
  • Support triage
  • Document extraction
  • Guardrails & evaluation

Start a project

Tell us what is slowing your team down

Share the workflow, product or team challenge. We will come back with a clear recommendation and next steps.

Intro call · Fixed-scope proposal · No obligation