Voice assistants and customer enquiry handling
Clear scope, practical recommendations and delivery shaped around your environment.
AI Voice Assistants & Agents
AI voice assistants that turn conversations into next steps
Help customers find answers, qualify enquiries and support your team with AI assistants grounded in your products, services and approved knowledge.
HOW WE CAN HELP
From the right idea
to real implementation.
Knowledge integration and lead qualification
Clear scope, practical recommendations and delivery shaped around your environment.
Human handover, testing and ongoing refinement
Clear scope, practical recommendations and delivery shaped around your environment.
Give every customer a fast, consistent and on-brand response.
Your AI assistant should sound like your business, understand what you sell and know when to involve a person. Evo Technologies combines conversation design, your approved business knowledge and secure integrations to create assistants that are useful from the first interaction.
Tell us how your customers reach you →Built around your business
Not a generic chatbot with your logo added.
We shape each assistant around a defined role, trusted knowledge and measurable outcome. The result is an agent that understands your offer and fits the way your team operates.
Practical use cases
One intelligent front line across sales, service and operations.
Never leave a qualified enquiry waiting.
Sales & lead qualification
Answer initial questions, understand customer needs, qualify opportunities, capture details and schedule the right next step for your sales team.
Always-on support with a clear route to a person.
Customer service
Resolve common requests using approved knowledge, create support tickets and transfer conversations with full context when human help is needed.
Turn conversations into completed actions.
Appointments & follow-up
Book, confirm or reschedule appointments, send reminders and record outcomes in your calendar or CRM without repetitive manual entry.
Give teams a faster way to find trusted answers.
Internal knowledge agents
Help staff retrieve product, policy and process information, draft responses and complete routine work using approved company knowledge.
01
Discovery
Define the audience, conversations, tasks, systems, guardrails and business outcome for the first assistant.
02
Build & training
Prepare trusted knowledge, design behaviour, connect tools and test with realistic calls and customer scenarios.
03
Launch & optimisation
Deploy in stages, monitor quality and task completion, review exceptions and improve the agent using real outcomes.
Common questions
What businesses ask before building an AI assistant.
- Can it use our phone number?Yes. We can connect a suitable existing or new business number and configure routing, transfers and escalation.
- How does it learn our brand?We organise approved product, service, policy, script, FAQ and tone guidance, then test the agent against realistic conversations.
- Can it work with our current software?Depending on the platform, it can connect with CRM, calendars, email, helpdesk, websites, databases and internal APIs.
HOW WE WORK
A clear path from
challenge to delivery.
No guesswork about what happens next. We agree the priorities, the plan and the people responsible.
Understand the challenge
We listen, review your current systems and define the outcome that matters to your business.
Design the right approach
Compare options, agree scope and map a practical sequence around your budget and timeline.
Deliver. Then keep improving.
Build, test and hand over with clear documentation, ownership and support arrangements.
BEFORE WE BEGIN
Let’s get
clear on the details.
Can an AI assistant hand over to our team?
We design escalation and handover around your workflow. The discovery session establishes what the assistant can handle and where a person must take over.
What happens during the first session?
We discuss your priorities, current systems and timeline, assess whether we can help and agree the next step. No completed technical brief is required.