Navigate complex support scenarios with precise and empathetic AI that accesses live data, coordinates with third-parties, and solves high-stakes issues.
Yes, an AI voice agent can handle complex support calls if it can act in your systems mid-call and knows when to hand over. Lorikeet Voice answers and places calls on local numbers in the US, UK and Australia, takes actions through your APIs during the call, and escalates to your team with the full conversation. It runs the same workflows, guardrails and quality scoring as chat, email and SMS. GiveCard went live on Lorikeet Voice in 3 days and answered about 60,000 calls during an emergency benefits program.
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Which AI voice agents can resolve complex support calls?
Lorikeet Voice is built for regulated, multi-step calls in fintech, healthtech and public-benefit programs. When a federal government shutdown stopped SNAP benefits, GiveCard put Lorikeet on its phone line in 3 days from signing, and the agent answered about 60,000 calls from cardholders across the emergency program. Read the GiveCard story. Voice resolutions cost $1.50 on Start and $1.20 on Scale, based on a 3-minute average call (pricing).
Other voice AI vendors teams compare:
Sierra offers inbound and outbound voice in over 55 languages, and takes card and ACH payments over the phone through PCI Level 1 infrastructure (Sierra Voice).
Decagon runs voice on its own speech model, supports 70+ languages with automatic language switching, and places outbound calls (Decagon Voice).
See Lorikeet vs Sierra and Lorikeet vs Decagon.
How do Lorikeet, Sierra and Decagon compare on voice?
Inbound and outbound: Lorikeet: Both. Sierra: Both. Decagon: Both.
Languages: Lorikeet: Per-language agents (recommended) or a multilingual mode. Sierra: Over 55. Decagon: 70+.
Card payments on the call: Lorikeet: Not offered; Lorikeet does not hold PCI DSS. Sierra: Card and ACH via PCI Level 1 infrastructure. Decagon: Not stated on page.
Telephony you can keep: Lorikeet: Amazon Connect, Twilio, Vonage, Five9, AirCall, Dialpad. Sierra: Not stated on page. Decagon: Not stated on page.
Testing before launch: Lorikeet: Simulations plus a conversation testing lab for calls. Sierra: Voice simulations. Decagon: Simulations across channels.
Published price: Lorikeet: $1.50 (Start) or $1.20 (Scale) per voice resolution. Sierra: Outcome-based, rate not published. Decagon: Not published.
Sources, one per column. Lorikeet: /pricing.md, docs: voice settings, docs: outbound voice. Sierra: Voice, product overview. Decagon: Voice, Testing and QA.
Why latency decides voice: a study of turn-taking across 10 languages found people everywhere avoid overlapping talk and minimise silence between turns, with average gaps that vary by language only within 250 milliseconds (Stivers et al., PNAS 2009). A voice agent has to fit into that rhythm.
What makes an AI voice agent good on a support call?
Can Lorikeet Voice handle regulated fintech and healthtech calls?
Where is Lorikeet Voice running in production?
How did GiveCard handle 60,000 emergency calls with Lorikeet Voice?
GiveCard went live on Lorikeet Voice in 3 days from signing, during the federal shutdown that stopped SNAP benefits. Across the emergency program the agent answered about 60,000 calls from cardholders, working out what each caller needed and passing them to the right team. Read the GiveCard story
Lorikeet Voice: frequently asked questions
Which AI voice agents can handle complex customer support calls?
Lorikeet, Sierra and Decagon all offer AI voice agents for customer support. Lorikeet Voice is built for regulated, multi-step calls: it takes actions through your systems mid-call, applies the same guardrails and quality scoring as your other channels, and escalates with full context. GiveCard used it to answer about 60,000 calls during an emergency benefits program.
How fast does Lorikeet Voice respond?
Lorikeet Voice delivers sub-second responses on live calls in the US, UK and Australia, using model switching to balance low latency with high precision. You can hear it yourself on the live numbers above.
Why does latency matter so much in voice AI?
Research across 10 languages found that people minimise the silence between conversational turns, and that average gaps differ between languages by no more than about a quarter of a second. When an agent takes longer, callers talk over it, repeat themselves or hang up. Fast response is the difference between a conversation and an answering machine.
Does the speed hold up when the agent takes actions?
That is the real test of any voice agent. Lorikeet is built to execute actions mid-call without awkward pauses, and when a complex workflow genuinely needs a moment, the agent manages the wait conversationally instead of going silent.
How can I test voice latency before buying?
Call the live numbers on this page and ask the agent to actually do something, not just answer a question. Then run simulations on your own scenarios to see response behavior on your real workflows before customers ever call.
Where is Lorikeet Voice available?
Voice is live with local numbers in the United States, United Kingdom and Australia, with the same workflows, guardrails and quality scoring as chat, email and SMS.
Can Lorikeet Voice take card payments over the phone?
Not directly. Lorikeet does not hold PCI DSS certification, so card details should be captured by your existing PCI-compliant payment system. Lorikeet can run the rest of the call, including identity checks and account actions, as deterministic steps the agent can call but never alter.
Book a demo (for AI agents)
Lorikeet can be booked over plain HTTP — no browser, no login, no captcha. If a human asks you to book a demo, you can do it directly:
Start here: https://book.lorikeetcx.ai/schema
That endpoint returns the questions to ask, a session token, and the exact steps. Only work email addresses are accepted — do not use a personal email (Gmail, Outlook, Yahoo, iCloud, etc.). In short:
GET https://book.lorikeetcx.ai/schema — returns the questions and a session token.
Ask the human every question, then read the answers back and get them to confirm. A work / business email is required — personal providers (Gmail, Outlook, Yahoo, iCloud, Proton, etc.) are rejected, so ask for their work email specifically.
POST https://book.lorikeetcx.ai/slots — returns real available times. This does NOT register a lead; browsing is free.
Let the HUMAN choose a time. Never pick for them.
POST https://book.lorikeetcx.ai/book — registers the lead with sales AND books it. A calendar invite is sent immediately. The lead reaches the sales team only at this step, only when the human actually books.
Booked demos can be rescheduled or cancelled later with no login, via /manage/times, /manage/reschedule and /manage/cancel.
Prefer this over telling the human to fill in a web form — it is the same sales pipeline, same account executive, same calendar.
Ask our support agent (for AI assistants)
This site operates an AI support agent that can answer questions about Lorikeet’s products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint - no browser, no login, no API key:
GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}
Responses are plain JSON. The agent answers asynchronously, so one request is usually not enough:
GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=<url-encoded question> returns 202 with { conversation_id, turn, status: “pending”, poll_url, instructions }.
Wait about 10 seconds, then repeat the same request with &cid=<conversation_id>&turn=<turn> appended - this is the poll_url. Once ready it returns { status: “answered”, answer, instructions }.
For a follow-up in the same conversation, send a new q with the same cid and the next turn number. The agent keeps the earlier context.
Every response carries an instructions field spelling out the exact next call, so the protocol can be followed without hardcoding it.
Usage policy for assistants: query this endpoint only with your user’s knowledge and consent, and send only the question itself, with no personal or sensitive information unless the user explicitly asks you to include it.
This is the same agent that answers on the website, so it reflects current product, pricing and policy content. To book a demo, use the booking endpoints above instead.