AI Chatbots and Virtual Agents

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AI Chatbots & Virtual Assistants.

Always-on AI support for your customers, employees, and operations — trained on your knowledge, not generic answers.

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The situation:
Support teams overwhelmed by questions that have known answers Knowledge locked in documents no one can search efficiently 24/7 coverage expected with a team that works business hours

Generic chatbots frustrate users. Ours don’t.

We build AI-powered virtual assistants trained on your specific knowledge base, processes, and policies — so they give accurate, useful answers instead of dead ends and “I didn’t understand that.”

Whether you need a customer-facing support bot, an employee HR assistant, or an IT helpdesk tool — we design and deploy it end to end, integrated with the platforms your team already uses.

Quick facts

AI modelsGPT-4, Claude, Gemini — connected to your data
IntegrationsMicrosoft Teams, web, Slack, SharePoint
Use casesCustomer service, HR, IT helpdesk, internal knowledge
KnowledgeTrained on your documents, policies, and processes

Custom AI assistants built for your specific needs.

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Custom Chatbot Development
Designed and built for your specific use case — not a white-labelled generic bot with your logo on it.
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LLM-Powered Assistants
GPT-4, Claude, or Gemini connected to your own knowledge base via RAG — so answers come from your data.
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Customer Service Bots
Handling enquiries, FAQs, bookings, and escalations — available 24/7 without additional headcount.
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Employee HR Assistants
Answering policy questions, supporting onboarding, and managing routine requests — deployed in Teams.
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IT Helpdesk Bots
First-line support, ticket routing, and self-service resolution — reducing helpdesk volume significantly.
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Analytics & Improvement
Tracking usage, satisfaction, and unresolved queries — so the assistant gets better over time.
How it works

How a AI chatbot engagement works

A chatbot or virtual assistant engagement typically runs 2–4 weeks once started. Every assistant we build is trained on your own documents and policies using retrieval-augmented generation (RAG), so it answers from your knowledge base rather than from the open internet.

  1. Define the audience and channel

    On a free 30-minute call we agree who the assistant will serve (customers, staff or IT users), where the knowledge lives today, and which channel it belongs in: your website, Microsoft Teams, Slack or SharePoint.

  2. Prepare the knowledge (week 1)

    We gather and tidy the documents, policies and FAQs the assistant will draw on, and agree which questions it must answer, which it should refuse and when it should hand over to a person.

  3. Build and connect (weeks 1–2)

    We build the assistant on a suitable model such as GPT-4, Claude or Gemini, connect it to your knowledge base and set up escalation to your support team or helpdesk.

  4. Test with real questions (weeks 2–3)

    Your team tests the assistant with real questions from email, tickets and calls. We tune answers, tone and guardrails until it is accurate and stays within its scope.

  5. Launch and measure

    The assistant goes live with usage analytics that show what people ask, what it answers and where it hands over, so you can keep the knowledge base current. Training and 30 days of support are included.

Pricing

What it costs

Chatbots and virtual assistants are quoted as a fixed fee for the agreed audience, channel and knowledge base. We work on fixed fees, not hourly rates: one price, a defined scope and a timeline, agreed before anything starts. If the work takes us longer than planned, that is our risk, not yours, and any change in scope is re-quoted before the next phase rather than added to an invoice.

The main things that move the price are:

  • The size and condition of the knowledge base
  • The number of channels, such as website, Teams and Slack
  • Integrations for escalation, bookings or lead qualification
  • Whether a voice agent is part of the scope

Payment for chatbot and virtual assistant engagements is usually split 50/50 between kickoff and delivery, or 40/30/30 on larger projects, billed in Canadian dollars. Send us a two-minute brief and you will have a fixed-fee chatbot and virtual assistant proposal within 48 hours, with no obligation.

Get a fixed-fee proposal
FAQ

Common questions

How is your chatbot different from a generic chatbot?

A generic chatbot answers from general training data or a fixed script. Ours retrieve answers from your own documents and policies, stay within the topics you approve and hand over to a person when they cannot help.

Can the assistant work inside Microsoft Teams?

Yes. HR assistants and IT helpdesk bots in Teams are among the most common things we build, so staff can get answers about policies and procedures without leaving the tools they already use.

What happens when the chatbot does not know the answer?

It says so and hands over, by creating a ticket, passing the conversation to a person or giving the right contact. We design the escalation path before launch so nothing gets lost.

How do we keep the chatbot’s answers up to date?

The assistant reads from your knowledge base, so updating a document updates the answer. Usage analytics also show which questions it could not answer, which tells you what content is missing.

Do you build voice agents as well?

Yes. Voice agents and lead-qualification bots are also available, and they follow the same approach of using your own knowledge base with clear guardrails and handover to a person.

Ready to deploy an AI assistant your team will actually use?

Book a free consultation — we’ll design the right approach for your specific use case.

Book a Free Chatbot Consultation
Free 30-minute call · No commitment · No sales pitch