How to introduce an AI voice agent at the start of a call
Introduce the assistant, bound the task and offer continuation without a fictional human identity.
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- Tigy AI team
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A voice agent's introduction should identify the assistant, explain its task and invite the caller's request. In Tigy AI, write a short opening in the instructions and test it aloud. The greeting should reflect configured capabilities and human-service paths without inventing employee identities or promising to solve every subject.
Voice-agent introduction: identity, task and question
An illustrative opening is: I am the company's virtual assistant and can help look up your order; how can I help? Use the actual service name and task. If lookup is not configured, describe only available guidance or collection. Let callers identify the assistant and begin their request without waiting through a full capability list.
Avoid lengthy capability lists or promises to solve anything. People need a recognizable route to their request.
Answer identity questions directly
Guide the agent to answer clearly when asked whether it is AI. Avoid invented employees, human roles or personal experiences.
Warmth works with accurate identification. Review prompts for examples encouraging fictional personal stories.
Explain process dependencies
For failed lookups, explain what could not be verified and next steps. Route unrelated tasks to responsible teams.
Do not claim humans are already following conversations unless operations provide that. Transfers and records require configured channels and integrations.
Test different opening situations
Validate identity questions, human-service requests, unexpected subjects and unavailable queries. Check concise, consistent responses.
This experience guide makes no legal-obligation claims. Verify openings on real channels and confirm offered continuation.
Compare openings using the same task
Compare a fictional long service list with a short help question using identical tasks, measuring useful information, interruption and repetition.
Test early speech and immediate human requests without repeated introductions.
Hold voice, documents and tools constant; a single preference is not universal evidence.
Explain identity and usefulness in a short opening
Useful openings explain who is answering and how they can help. Callers do not need platform architecture to begin. They need to recognize the organization, understand they are speaking with a virtual assistant and know what requests they can present. Identity and task scope support accurate expectations from the first turn.
In a fictional case, a branch agent explains that it helps with hours and reservation guidance. This bounds initial capability. Saying it can help with “anything” creates expectations incompatible with limited sources and tools. Opening claims should follow configured abilities rather than the broad range of subjects the model can discuss.
Use organization and branch names where they help confirm destinations. Correct introductions can also expose routing errors: callers may notice they reached a different location and correct this before giving information. Do not rely on greeting changes to fix routing, however; investigate the actual association if calls arrive incorrectly.
Avoid listing every service immediately. Simple questions let callers describe needs, while additional information can appear when it supports decisions. Keep openings short enough to hear without effort.
Test whether people identify the service and begin their requests. Pleasant voices do not compensate for lengthy openings leaving identity or capability unclear. Review what the caller understood rather than judging scripts only by their friendliness on paper.
Make promises match effective configuration
Introductions should reflect what agents can do now. If they only explain policies, do not say they modify reservations. If they collect preferences for staff review, describe that process without calling it automatic confirmation. Promises should correspond to implemented actions and their actual states.
In a fictional example, staff have not connected calendars. Agents may explain procedures and record requests where configured mechanisms exist. Opening statements do not create system access or permission to confirm times. Without request storage, even collection claims need to remain limited to what the conversation can actually provide.
Check selected tools and sources before publishing introductory changes. Resources available in workspaces may not be associated with agents. Instructions should preserve the same boundaries later because cautious greetings lose value if agents subsequently invent actions. Test whole conversations rather than approving opening sentences in isolation.
Avoid guarantees of human availability. Agents may answer after hours while staff are absent. Introductions and referrals should explain next steps according to actual processes. Do not imply immediate assistance or specific callbacks unless operational owners have established those commitments.
Review greetings when expanding scope. Add capabilities after verifying operations and exceptions. Do not use openings to anticipate features still awaiting implementation. Effective configuration and observed outcomes provide the basis for truthful presentation, even when a more ambitious statement would sound attractive.
Write for listening using recognizable terms
Sentences need to work in audio. Use words audiences recognize, reduce long clauses and ask one question at a time. Callers should be able to respond without retaining extensive option sequences. Listening tests help identify wording that seems concise visually but remains difficult to follow aloud.
In a fictional case, “I can explain opening hours or help with your request” is easier to follow than lists of internal departments. Subsequent questions can clarify service or branch when that changes guidance. Avoid collecting details before understanding what decision they support.
Test proper names and abbreviations with configured voices. Text may be accurate while pronunciation makes organizational identity hard to recognize. Presentation adjustments should preserve truthful identity instead of replacing names with confusing descriptions. Check what listeners understand rather than assuming the voice reads every name as intended.
Consider other languages. Translate meaning and capability, not only individual words. Natural Portuguese expressions may become awkward English formulations. Test each language with representative questions and voice conditions. Maintain equivalent limits so translation does not accidentally expand promises.
Avoid technical jargon irrelevant to callers. Openings need not mention models, APIs or processing when the purpose is service. Such details belong in product explanations where they help configuration decisions, not necessarily in agents' first spoken turns. Clear everyday wording can support confidence without exaggerating capabilities or requiring callers to understand implementation.
Prepare for callers speaking before the opening ends
Not every caller waits for introductions to finish. People may already have requests, correct destinations or ask for staff. Review configured interruption and turn behavior on the channel being used. Do not assume opening scripts control every aspect of audio interaction independently of conversation settings.
In a fictional example, callers interrupt with a Saturday-hours question. Agents should address current questions using available sources. Repeating complete greetings may increase effort without helping decisions. Preserve relevant identity information while avoiding unnecessary restarts after the caller has already supplied a clear request.
If interruptions reveal incorrect branches, clarify destinations and use approved alternatives. Do not change agent identity to agree with expectations. Repeated wrong-destination calls require routing investigation. Greeting wording can expose this problem but cannot establish which external route caused it.
Include silence and repetition requests. Agents should offer understandable questions without automatically interpreting missing speech as agreement. Next steps should follow available configuration and processes. Test callers who hesitate because they did not understand the opening, distinguishing that from technical absence of audio where evidence allows.
Use telephones when they are final channels. Text supports content review but does not establish audio, interruption or transfer. Record expected and observed behavior to distinguish introduction problems from technical delivery issues. Repeat representative cases after changes instead of approving a revised script from its written appearance alone.
Provide a truthful path for people requesting staff
Openings may mention human service where it exists. Conversations should explain available paths and limits. Do not promise immediate connection simply to sound welcoming. Staff availability and compatible transfer are operational conditions, not properties established by a friendly greeting.
For transfer, check supported channels, configuration and destinations. Direct transfer in Tigy does not automatically deliver context. If staff need records, validate separate mechanisms before claiming they already received the account. Test discovery and usability as well as technical delivery.
In a fictional case, callers request named employees after hours. Agents may explain contact channels or record preferences through authorized processes. This does not guarantee that particular people will answer or return calls at specified times. Keep preference collection distinct from accepted commitments.
If current scope lacks transfer, explain that clearly and offer guidance matching real service. Do not invent telephone destinations from names mentioned during conversations. User requests do not establish permitted routes or individual access.
Evaluate whether callers understand final states: connected, waiting, recorded requests or directed to other channels. Introductions shape expectations, while conclusions should confirm only actual outcomes. Include unavailable-path cases during review so the agent remains truthful when ideal next steps cannot occur. An attractive opening should never imply capabilities that the rest of the interaction cannot substantiate.
Evaluate understanding and continuation as well as style
Introduction tests should check whether callers identify who is answering, understand capabilities and begin requests. Preferences for friendlier phrasing do not replace these criteria. Evaluate comprehension through observed continuation rather than asking reviewers only which script they like.
Compare revisions using the same intents: simple questions, incomplete requests, wrong destinations and requests for staff. Include voice interruption and silence. Record repetition, uncertainty and unsupported promises alongside perceived naturalness. Distinguish content problems from channel conditions affecting what callers can hear.
In a fictional case, shorter openings lead people to request unavailable actions. Corrections may clarify scope in a few words rather than restore long scripts. Use outcomes to choose changes. Extra detail is valuable when it resolves a recurring misunderstanding, not merely when it makes introductions appear more comprehensive.
Review subsequent conversation for coherence. If openings say agents provide guidance, conclusions should not announce reservations without integrations. Promises should remain tied to capabilities throughout journeys. Check tool results and external records where actions are claimed.
Update openings when organizations, branches or scope change. Save, test and publish through project processes, then verify new conversations on real channels. Introductions should follow effective service and remain understandable to first-time callers. Preserve representative confusion cases for later reviews so new capabilities or branding changes do not reintroduce ambiguity that earlier revisions resolved.
