Managed multilingual voice operations
Managed multilingual AI voice agents answer peak demand, resolve approved requests, and write structured call records.
Live calls
How can I help with your appointment today?
I need to move it to Tuesday morning.
I found a 9 a.m. time. Would you like me to make that change?
Yes, please book it.
Every deployment runs on controls your team approves and can inspect.
The fields written for every call.
What a person receives on transfer.
Sign-off state per deployment language.
Owner and version for each control.
The pressure
Teams staff to an average while callers arrive in peaks. Some abandon a long wait; others call after hours or reach a shift without the language coverage they need.
A caller who disconnects before sharing the request may leave your team with a queue event and too little context to route follow-up or report demand.
Your team approves the controls for each layer. The Delivery lead keeps each control and its expected output together in the deployment record.
Conversation Engineering defines permitted actions and transfer conditions for each approved intent. Voice Platform Engineering builds the call path, and Integration Engineering maps the final record.
01
The agent opens with an AI disclosure and selects a validated deployment language.
02
The agent maps the request to the approved catalogue or marks the scope boundary.
03
The agent uses approved knowledge and connected systems for each configured action in scope.
04
The receiving person gets the transcript, captured fields, transfer reason, and destination.
05
The scoped integration writes the outcome to the customer system assigned to the intent.
Call transcript
Routing
Human route
The receiving person sees the transcript, captured fields, transfer reason, and destination before taking the call. Your team defines the trigger and the next route when a destination does not answer.
Transfer packet
Delivery pod
Avant names all eight responsibilities on every deployment. The ten operating functions assign specialists to the pod according to scope and stage.
The deployment plan, decision log, dependencies, and launch controls.
The operating boundary, call-flow design, and technical decisions.
Telephony, routing, provisioned concurrency, and failover behavior.
Intent behavior, approved knowledge use, disclosure, and escalation.
Customer-system actions, field mapping, and integration tests.
Terminology, formats, disclosure wording, and language sign-off.
Evaluation scripts, test execution, evidence, and acceptance scoring.
Operating priorities, review records, action ownership, and change decisions.
Solution patterns
Choose one queue, interval, language set, or intent family. Use the pilot record to compare its baseline with outcomes from the pilot route.
Cover one overflow branch and one interval outside rostered capacity.
02Handle qualification, booking, or routing on one tracked number or lead queue.
03Test booking changes on one service line and scheduling workflow.
04Validate one market or approved language set on a shared number.
05Start with one routine intent family and a written transfer boundary.
Pilot sequence
The Delivery lead ties the first deployment to a measured baseline, written acceptance line, and reversible routing decision.
Measure offered volume, abandonment, transfers, and record quality for the selected queue.
Test approved intents, language behavior, boundaries, transfer rules, and record mapping.
Route one production branch under written acceptance and rollback controls.
Customer Operations records the decision to widen, hold, or reverse the route after customer review.
Works with your operating stack
Show us the interval, intent, or language gap you want to measure. We will define the baseline and the smallest pilot that can test it.