An AI phone agent built to take the next step.
Truvoca handles business calls around a defined operational outcome. Configure what the agent may ask, which context it can use, what result it should record, and when your team should take over.
The platform is phone-first. It can support outbound workflows you already run, and inbound workflows after their routing, system access, schedule, and handoff behavior are configured and tested.
30 minutes over Google Meet. Times are shown in Eastern European Time (GMT+03:00). Scheduling runs on Google Calendar, so choosing a time takes you into Google’s service.
AI phone agent, voice agent, or AI receptionist?
The label matters less than the work completed after the call.
AI phone agent and AI voice agent describe the broader product category. AI receptionist usually describes a front-desk role such as answering common questions, capturing a request, or routing a caller.
Truvoca is positioned around the workflow rather than one job title. The call begins with approved context and rules, then ends with a reviewable outcome, a verified system action, or a defined path to a person.
- AI phone agent the primary product category
- AI voice agent a common category synonym
- AI receptionist one role-specific use of the product
- Truvoca phone-first workflows designed around a completed next step
Choose a call with a clear purpose
Start with one outbound or inbound workflow.
The best first workflow has a known trigger, a limited set of questions, defined outcomes, and an owner for exceptions. Each call type is scoped separately so a working confirmation flow is not presented as proof for every other use case.
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Appointment confirmation Tested
outbound workflow verified end to end; telephone delivery in setup.
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Inbound request capture Configurable
caller details, reason for calling, and an agreed destination.
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Frequently asked questions Configurable
approved answers with explicit out-of-scope rules.
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Appointment rescheduling Gated
requires verified availability and a two-way scheduling update.
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After-hours answering Gated
requires schedule, urgency, routing, fallback, and monitoring tests.
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Lead qualification or follow-up Gated
requires approved questions, consent rules, CRM fields, and ownership.
During and after the call
Design the conversation and the next action as one workflow.
A natural-sounding conversation is useful only when the operational result is clear. Truvoca connects the call logic to the action that follows it.
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Trigger and context
start from an approved event, record, list, or inbound call.
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Approved questions
use the information and prompts defined for the workflow.
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Decision or action
classify the response or perform only the verified action.
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System update or handoff
pass the outcome to the connected process or agreed team route.
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Reviewable result
retain the approved call fields needed to inspect what happened.
Use the systems behind the call
Give the agent the context it needs—and no more.
A Truvoca workflow can be connected to the system that starts the call and the system where the result belongs. The connection is scoped around specific objects, fields, permissions, and actions rather than a broad promise to sync everything.
For an appointment-confirmation flow, that might mean reading an approved appointment record and returning a defined confirmation outcome. The actual system, fields, write-back action, and error behavior are named only after they are verified.
- Identify the source-of-truth record
- Map the minimum fields the call requires
- Separate permitted reads from permitted writes
- Test duplicate, unavailable, and partial-update cases
- Document the owner of reconciliation and support
Rules for the agent. Judgment for your team.
Define where automation stops before the first live call.
Your team decides which questions are allowed, which information is available, what counts as a valid outcome, and which responses leave the automated path.
A handoff is not a generic promise. Depending on the tested workflow, an exception may create a callback task, send an approved notification, or transfer the call. Truvoca names the mechanism and context passed to staff only after both have been verified.
- Explicit in-scope and out-of-scope topics
- Approved response and disclosure rules
- A destination for sensitive, urgent, or ambiguous cases
- Fallback behavior when a person or system is unavailable
- A named owner for the next step
Review what happened
Inspect outcomes and exceptions—not just call volume.
The review model should answer whether the call ran, what outcome was recorded, what action followed, and where a person was needed. Truvoca's launch scope includes call history, outcomes, completed actions, and review of handoff points.
Recordings, transcripts, summaries, dashboards, filters, retention, and access controls are shown only in the exact form supported by approved product evidence and the customer's call-recording rules.
- Call status and time
- Approved outcome or disposition
- Completed or attempted next action
- Handoff or exception point
- Searchable history and basic trend review within verified product scope
The workflow we have built and tested
See an appointment confirmation call reach a recorded outcome.
Truvoca has a tested outbound appointment-confirmation workflow, with telephone delivery in setup. This is the proof-led example for the AI phone agent page because it can show a defined call purpose, a structured response, and the next step in the connected process.
The public demonstration must use approved or anonymized material. It should not invent a customer result or disclose the clinic, patient information, system name, transcript, or field-level write-back without permission.
- Approved appointment context
- Outbound confirmation conversation
- Recorded outcome
- Connected next step
- At least one exception or failure path
A practical way to begin
Bring one call, one system path, and one measurable outcome.
Discovery starts with the job the call must complete. We map the trigger, conversation rules, data, system action, human exceptions, security needs, and review criteria. Then we prepare a tailored demonstration and recommend a pilot or implementation scope.
Timing depends on the workflow, access method, integrations, test cases, legal review, and proof requirements. The page does not promise an instant or universal setup.
- Define the call and business owner
- Map systems, fields, and permissions
- Agree outcomes, exceptions, and test cases
- Review a tailored demo
- Scope the next implementation step
See an AI phone agent working inside your process.
Tell us whether the workflow is inbound or outbound, which systems are involved, what the caller needs, and what should happen after the conversation. We will use that context to prepare a relevant Truvoca demo and identify the proof required before launch.
FAQ
FAQ
What is an AI phone agent?
An AI phone agent handles defined inbound or outbound call workflows using approved context and conversation rules. In Truvoca, the workflow also defines the outcome to record, the permitted system action, and the point where a person takes over.
How is an AI phone agent different from an AI receptionist?
The terms overlap. AI phone agent is the broader product category; AI receptionist usually describes a role such as answering common questions, capturing requests, or routing calls. Truvoca can be configured for role-specific work while keeping the completed next action at the center.
Can Truvoca make outbound calls?
Yes — a tested outbound appointment-confirmation workflow, with telephone delivery in setup. Other outbound scenarios require their own data, conversation, consent, timing, outcome, and exception rules before they are presented as production capabilities.
Can Truvoca answer inbound calls?
Inbound workflows can be configured. The questions, schedule, caller identification, routing, system access, exception behavior, and handoff must be scoped and tested before a specific inbound workflow is described as live.
What can the agent update after a call?
The update depends on the connected system and verified workflow. We map the exact object, fields, permitted action, duplicate protection, error path, and reconciliation method before naming a write-back capability.
When does a person take over?
Each workflow defines responses and topics that require staff judgment. The handoff may be a tested transfer, callback task, or notification, with the real destination and available context documented during implementation.
Which languages does Truvoca support?
Language support is published from the tested list for the specific voice, workflow, and production environment. We do not claim every language or automatic language switching without evidence.
Are calls recorded or transcribed?
Recording and transcription depend on configuration, legal and customer rules, disclosure or consent, access, retention, and deletion settings. A page or demo should show only the media and controls that have been verified.
How long does implementation take?
Timing depends on workflow complexity, system access, connector work, test cases, security and legal review, and the required proof. Truvoca provides an estimate after discovery rather than a generic setup promise.