AI Chatbot Development

What our chatbots do

Where your chatbot runs

Where a chatbot helps

• Customer support: the everyday questions your team handles, answered from your approved content, including outside office hours, with anything that needs a person passed to your team.
• Enquiries: collecting what a prospect needs before passing the enquiry to the right person.
• Bookings: answering questions about availability, preparation and policies before and after an appointment.
• Order and request status: looking a record up in your systems. Once a chatbot changes things in your systems as well, it becomes an agent; see AI agent development.
• Internal helpdesk: IT, HR and policy questions from staff, answered inside Microsoft Teams.
• Product questions: comparing options and pointing people to the right item in your catalogue.

Keeping answers accurate and safe

• The chatbot is set up to answer only from content you approve and to show its sources, so people can check what it says.
• Before launch, the chatbot is tested on a set of questions your customers or staff actually ask, with the answers you expect; the same set runs after every change.
• When the content does not cover a question, the chatbot is set up to say so and offer a person rather than guess, and the test set checks that it does.
• By default, Microsoft’s guardrails on Azure OpenAI chat models block hateful, sexual, violent and self-harm content rated medium severity or above, in questions and in answers, and screen questions for jailbreak attempts (messages written to make the model break its rules). They reduce harmful output rather than guarantee against it, so our test set also includes questions the chatbot must refuse.
• Once it is live, we go through the questions it had no answer for and fill those gaps in your content or in its instructions.

What a chatbot costs to run

• A smaller, cheaper model for simple turns, and a larger one only where the answer quality needs it.
• Giving the model only the handful of passages that answer the question, so each request stays short.
• Reusing answers to questions that come up again and again.
• A monthly budget agreed with you, with alerts sent as spending nears it, so a sudden jump in conversations is spotted mid-month rather than on the invoice.

Chatbot, agent or Copilot Studio?

How we build one

1. 1

   Agree what it may answer

   We list the questions it should handle, the content it may use, the tone it should take and the moments it must hand over to a person.

2. 2

   Prepare the content

   We collect the approved material, remove what is out of date and index the rest so the right passage can be found for each question.

3. 3

   Build and test on real questions

   We build the chatbot and run it against your test questions until the answers meet the standard we agreed.

4. 4

   Pilot with a small group

   A few staff or customers use it first. We read the conversations and fix the gaps before a wider launch.

5. 5

   Launch and keep it current

   We switch it on for everyone, then keep its content and test questions in line with your current products and policies, as needed or on a monthly retainer, Monday to Friday, 9 AM–6 PM IST.