01
Enquiry and intake
Capture the reason for calling, gather relevant details and route the request to the right team.
Conversational Voice AIMake every conversation
Make every conversation
lead somewhere useful.
We implement voice AI for enquiries, service requests and routine customer conversations. It connects to the records needed to help, completes the actions in scope and transfers complex conversations with their context intact.
Customer service · aftercare · contextual handoffs
2 to 4 weeksto a focused working proof
Senior engineeringresponsible for the implementation
Magus.VOICE / PRODUCT AFTERCARE
Product aftercare / Voice AI
Example01
IdentifyConfirm order and model
02
UnderstandUse applicable product guidance
03
Hand offFault context for the specialist
The next person receives the details, not just the call.
Confirm the order and capture the reported fault.
01 · THE WORK
Built for the work your business needs
We implement voice AI for enquiries, service requests and routine customer conversations. It connects to the records needed to help, completes the actions in scope and transfers complex conversations with their context intact.
02 · THE IMPLEMENTATION
Where it can make a difference
02
Customer service
Answer supported status questions, handle routine requests and prepare useful aftercare records.
03
Scheduling and coordination
Arrange appointments or agreed followups using current availability and business rules.
03 · THE IMPLEMENTATION
What we implement
01
Conversation design
Map intents, interruptions, uncertainty and the points where a human should take over.
02
Records and actions
Connect the order, customer, case or scheduling systems needed for a useful response.
03
Testing and operation
Evaluate real conversation patterns, transfer quality and failure recovery before expanding the scope.
IMPLEMENTATION EXAMPLE
Voice aftercare that starts from the product and the fault
A customer calls about a fault with a purchased product.
THE EVIDENCE
What the system needs
- Caller verification and order reference
- Product model, reported symptom and purchase history
- Approved troubleshooting steps and warranty process
THE CHECKS
What this example checks
- Capture the fault in the customer’s words and confirm key details.
- Retrieve guidance for the actual model; stop or escalate unsupported situations.
- Prepare the evidence needed for technical support or a warranty review.
THE WORKING RESULT
What reaches the team
A structured fault record and contextual handoff, with the agreed supported steps recorded.
The decision boundaryTechnical staff handle uncertain or safety sensitive faults. Warranty approval, replacements and refunds follow the business’s authorised process.
WHAT THIS EXAMPLE WOULD TEST
Test conversations with interruptions, wrong order details and ambiguous symptoms. Measure capture accuracy, unsupported guidance and handoff completeness.
Illustrative implementation scope. This describes a possible build, rather than a claimed client result.
05 · THE WORK
From a useful proof to daily use
Test successful and difficult calls, including ambiguous requests and unavailable systems. Compare resolution quality, capture accuracy and the completeness of the handoff.
A focused proof of concept ships in 2 to 4 weeks. We use the findings to scope production integrations, access, monitoring, rollout and support.
DELIVERED THROUGH OUR SERVICES
The work behind the solution.
YOUR NEXT STEP
Which conversations could your team handle better?
Bring us one workflow, real examples and the people who know the work. We’ll identify a practical first build.