Let customers ask.
Give your team a useful next step.
Voice AI adds a conversational interface to approved business knowledge. It can explain the offer, ask relevant qualification questions, confirm contact details and record the conversation for your team. Use it with your Aiden Business Brain or start with a Voice Growth Agent when the first need is qualification and connected lead actions.
// Voice AI sits inside your AI Growth System. Booking, transfers, phone answering, CRM and follow-up are included only when scoped, connected and tested.
Voice AI
Conversational knowledge & lead workflow
Conversation In.
Revenue Data Out.
Customer talks naturally
No rigid form. They explain the question, job, product need or problem in their own words.
Voice AI answers + guides
It uses the business knowledge you approve to answer useful questions and keep the conversation moving.
The opportunity is qualified
It asks for the details your team actually needs: fit, urgency, location, application, budget or requirements.
Details become sales data
Verified contact details, qualification context, transcript and next-step intent can be structured and sent into your systems.
The next action happens
Route the lead, alert the right person, trigger follow-up or move an appropriate prospect towards booking.
Approved knowledge
Into the conversation.
Voice is the conversation layer of your AI Growth System. Aiden, your Business Brain, provides approved knowledge, Content Engine uses it to create, and agreed automation connects the next action. Ordinary contact options and human handoff remain available.
// initial commercial use cases
Trades + Service
Qualify job type, urgency, location and callback intent before the lead hits your team.
Automotive
Collect vehicle details, fitment needs, product context and dealer or sales intent.
Technical + Industrial
Gather application requirements before a technical salesperson spends time on repetitive discovery.
Professional Services
Answer common questions, establish fit and move appropriate prospects towards a consultation or human follow-up.
Built Around Your
Actual Sales Process.
Map the conversation
We define what visitors ask, what the AI should know, what it should never claim and which questions actually qualify an opportunity.
Configure the business context
Approved website content, service information, product knowledge, FAQs, policies and sales rules form the working knowledge layer.
Connect the action layer
Lead capture, CRM, booking, routing, internal alerts and follow-up are connected according to the deployment scope.
Test real scenarios
We pressure-test normal questions, difficult questions, incomplete information, human-handoff requests and mobile voice behaviour.
Launch + optimise
Conversation data shows where people get stuck, what they ask most and where qualification or follow-up should improve.
What Business Owners
Actually Need To Know.
Is this just a chatbot with a voice?
No. The speech interface is only one layer. The commercial value comes from business knowledge, qualification logic and the actions connected behind the conversation.
Does it replace my sales team?
It is designed to handle the repetitive first conversation and prepare better context for your team. Human handoff remains part of the journey wherever it makes commercial sense.
Can it book appointments?
Yes, when a supported calendar or booking workflow is included, connected and tested. The walkthrough shows which actions are working and which require integration for your business.
Can it connect to our CRM?
Where your CRM supports the required connection. We agree the fields, lead routing and follow-up around your existing systems, then test the workflow before activation.
What if it does not know the answer?
The agent is given explicit boundaries. It should say when it does not know, avoid inventing facts and route the visitor towards a safe next step or a human.
Is every business a good fit?
No. The strongest fit is a business with valuable inbound enquiries, repeated customer questions, a qualification process, complex buying decisions or meaningful after-hours demand.
What should customers ask?
What should happen next?
We map what the AI needs to know, what it should ask, when it should capture, where the lead should go and which actions need a person. The proposal defines the first phase and the connections to test.