Shams Ullah BaigShams Ullah Baig
AI · Case study

Agentra by Valour AI

Custom AI agents that learn a business's own documents and handle customer conversations around the clock: answering questions, screening prospects and booking appointments straight into the calendar.

Screenshot of Agentra by Valour AI, a AI agent platform by Shams Ullah Baig

Overview

Agentra builds an AI agent for a business, trained on its own material: price lists, opening hours, policies and FAQs. The agent works 24/7 across channels, so small businesses such as clinics and service providers stop missing enquiries outside office hours.

I worked on Agentra as part of the remote ValourAI team, collaborating with international stakeholders through code reviews, async standups and agile sprints.

What I built

  • Interfaces for setting up and previewing a business's AI agent, built in React
  • Conversation flows for the agent's core jobs: answering questions, capturing leads and booking appointments
  • API work connecting the front end to the agent and booking back end
  • Responsive, fast-loading pages for the product and marketing site

Key features

  • AI agent trained on the business's own documents
  • Appointment booking directly into the calendar
  • Answers about services, hours, insurance and location
  • Lead capture so no enquiry is missed, 24/7

Results

  • Live product serving businesses at agents.valour.ai
  • Agents answer and book without staff involvement, around the clock

Need something like this? See my AI agent development service, or get in touch.

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