Orion Legal Group business calls dashboard showing total calls, active AI agents, and recent call activity
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AI-Powered SaaS PlatformCalls · Appointments · CRM

AI Voice Assistant

AI Voice Agent for Calls, Appointments & Connected Business Workflows

Project Overview

A Voice AI Platform for Calls, Knowledge, and Business Workflows

AI Voice Assistant is an AI-powered SaaS platform that helps businesses manage voice-based customer interactions and connected business workflows. The platform enables a voice AI agent to handle calls, collect information, access business knowledge, book appointments, and connect with systems such as calendars and CRMs.

Product Type

AI-Powered SaaS Platform

Capabilities

Inbound & Outbound Voice · Knowledge · Integrations

Caller
Inbound callAny hour
Outbound campaignScheduled

Voice AI agent

Understands, answers, acts

Connected systems
Knowledge baseCalendarCRMActions

The Challenge

The Challenges of Scaling Always-On Customer Communication

Missed Calls = Lost Revenue

For industries such as healthcare, legal services, and property management, a missed call can mean a missed client.

Inconsistent Caller Experience

Human agents can vary in quality, availability, and knowledge, resulting in unpredictable customer experiences.

High Cost of Traditional IVR

Legacy IVR systems were expensive to set up, rigid to configure, and could create frustrating caller experiences.

Fragmented Tooling

Phone-captured leads were not always synced with CRMs, calendars were not updated in real time, and follow-ups remained manual and error-prone.

Project Objective

Building a More Reliable AI Voice Experience

01

Improve Call Handling

Enable the voice AI agent to manage inbound calls reliably and consistently.

02

Automate Information Collection

Help the AI call assistant capture caller details and respond using business knowledge.

03

Simplify Appointment Booking

Enable automated availability checks and appointment scheduling through connected calendars.

04

Connect Business Workflows

Integrate calls with CRMs, actions, and other systems for smoother end-to-end operations.

The Solution

Conversational AI, Configurable Voice Agents, and Connected Workflows in One Platform

Always-On Call Handling

To address missed calls and lost opportunities, the platform provides an AI answering service that can handle inbound calls beyond traditional business hours, providing continuous call coverage.

Consistent, Configurable Conversations

Businesses can configure a voice AI agent around their business information, goals, caller preferences, FAQs, and knowledge to provide more consistent customer interactions.

Conversational Alternative to Rigid IVR

Instead of relying on rigid menu-driven interactions, the platform provides an AI voice agent that can collect information, query business knowledge, transfer calls, send notifications, and perform configured actions.

Connected Business Workflows

The platform connects phone conversations with business systems, allowing AI agents to check calendar availability, book appointments, and create or update CRM records after calls.

Our Approach

Understand the Workflows, Close the Gaps, Validate the Whole Experience

To stabilize and enhance the existing platform, we focused on understanding its workflows, identifying functional gaps, resolving key issues, and validating the overall product experience.

01

Understand the Existing Product

We examined the existing product flows to understand how its core features, user journeys, and integrations were intended to work together.

02

Identify Functional Gaps

We reviewed key workflows to identify features, interactions, and dependencies that were not working as intended, including areas affecting the assistant experience.

03

Resolve & Refine

We addressed the identified issues to restore expected functionality across affected features and workflows, improving how individual capabilities worked together.

04

Validate the End-to-End Experience

We validated the relevant user journeys after implementing corrections to ensure that agent configuration, actions, integrations, and supporting capabilities worked together as intended.

How AI Voice Assistant Works

From Configuration to Connected Conversations

01

Onboard & Configure

Businesses provide their information, goals, voice preferences, languages, and caller requirements to configure the voice AI agent.

VoiceGen AI Business Information onboarding screen with a 5-step setup wizard
02

Build Agents & Knowledge

Create and manage agents, connect the knowledge base, and configure actions for notifications, API requests, call transfers, and system updates.

VoiceGen AI Create AI Agent screen with agent name, type, and system instructions
03

Connect Phone & Calendar

Connect business phone numbers and calendars so the assistant can check availability, book appointments, and manage calls automatically.

VoiceGen AI phone number and Google Calendar / Microsoft Outlook integration screen
04

Handle Inbound & Outbound Calls

The AI answering service manages incoming conversations, captures information, transfers calls when needed, and supports scheduled outbound campaigns.

VoiceGen AI Call Details screen showing an inbound call transcript and booked appointment outcome

Technical Architecture

Technical Architecture of an AI Voice Agent

The platform connects a configurable AI voice agent with business knowledge, actions, and external systems.

AI Agent Layer

Configures business information, goals, caller preferences, voice, and language. Built with React.js and Node.js/Express.

Knowledge Layer

Processes uploaded documents and retrieves relevant information through the Query Tool. PostgreSQL supports the underlying data layer.

Actions Layer

Enables notifications, API requests, call transfers, knowledge queries, and system updates through the REST API layer.

Business Integration Layer

Connects calendars and CRMs for availability checks, appointment booking, and record updates using Google Calendar, Outlook, and Zoho CRM.

Phone & Campaign Layer

Manages phone numbers and outbound campaigns, with Twilio powering calls, SMS, MMS, and number provisioning.

Business Impact

Every call answered, every enquiry captured, every follow-up connected

~62%

Of Small-Business Calls Go Unanswered

And 85% of callers who hit voicemail never call back.

~40%

Of Inbound Calls Arrive After Hours

AI voice support gives round-the-clock coverage so those calls still get answered.

~331%

ROI Over Three Years

Enterprise AI voice deployments show payback typically inside 3 months (IDC/Forrester TEI research).

Key Capabilities

What Businesses Get From an AI Voice Agent

Lead Capture & Revenue Protection

An estimated 62% of small-business calls go unanswered, and 85% of callers who hit voicemail never call back. AI voice agents close that gap by capturing every enquiry.

24/7 Customer Accessibility

Roughly 30–40% of inbound calls arrive after business hours. AI voice support gives round-the-clock coverage so those calls still get answered.

Faster & Consistent Customer Response

Conversational AI responds instantly and consistently, without the wait times or variability of traditional phone queues.

Measurable ROI

Enterprise AI voice deployments have shown 331–391% ROI over three years, with payback typically inside 3 months (IDC/Forrester TEI research).

AI Voice Assistant CTA background pattern

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