AI Agents

Voice agents built for real business conversations.

Rashid builds AI agents that can handle calls, answer common questions, qualify enquiries, collect details, book appointments and send structured data into the CRM or internal system.

Try Voice Agent → Discuss a Build

Call handling Lead qualification CRM handoff

What the agent can do

Designed to handle the parts of a conversation that slow teams down.

The goal is not to replace every human conversation. The goal is to handle the repeatable first layer properly, so the business receives cleaner information and fewer missed opportunities.

Answer common questions

The agent can respond to basic service questions, availability questions and common enquiry patterns using a controlled script and knowledge base.

Qualify enquiries

It can ask the right questions, collect key details and understand whether the person is ready to book, needs information or should be routed elsewhere.

Book or route the next step

The agent can guide visitors towards a booking path or pass the enquiry to the right team member with the context already captured.

Update the CRM

Call summaries, lead intent, contact details and booking status can be pushed into systems like GoHighLevel, HubSpot or a custom workflow.

Use cases

AI agents can support different parts of the customer journey.

Reception

AI receptionist

Handle first calls, capture the reason for enquiry and give the team a clear summary before anyone follows up.

Booking

Appointment support

Guide callers or website visitors towards the correct booking flow and reduce back-and-forth around basic details.

Sales intake

Lead qualification

Ask intake questions, understand fit, and send the lead into the right pipeline or follow-up path.

Selected buildAI Agent + CRM

Reply Angel AI receptionist system

Project

Built an AI receptionist flow where voice interactions became structured CRM data inside GoHighLevel. The system captured intent, call summary, responses, call ID, notes, booking status and next actions.

Build

When a booking happened, the CRM opportunity and confirmation flow were updated. If the visitor did not convert, the system could move them into a nurture path.

Result

AI conversation to CRM update, booking and follow-up flow.

Watch Loom Breakdown →

Build process

A clean process from conversation design to CRM handoff.

Map the calls

Define what the agent should answer, ask, collect and avoid.

Write the logic

Create the prompt, branches, qualification rules and handoff conditions.

Connect the tools

Connect the agent with CRM, calendar, webhook or automation flows.

Test the calls

Check the main routes before the agent is used on a live page.

Live voice agent

Test the voice agent on this page.

This demo has two modes. Visitors can ask who Rashid Akhtar is and what he builds, or they can test a sample AI agent conversation for enquiry handling, qualification and booking support.

Choose the conversation mode

Select a mode first, then start the call. The selected mode is sent to the backend with the Retell request.

AI agent build

Need an AI agent connected to your business workflow?

Rashid can help map the conversation, build the agent, connect it with the CRM and test the full route before launch.

Book a Call → [email protected]