Outbound follow-ups, missed-call rescue, appointment confirmations, inbound qualification. The voice platforms shift every quarter. The capability to design, deploy and run them across your phone and CRM stack is the constant.
Calls happen whether you have someone to take them or not. We put a voice agent on the line so revenue does not depend on staffing the phone.
Clinics, salons, F&B, retail. The phone rings faster than the front desk can answer. Half your leads hit voicemail and go quiet.
Lead lists to dial, follow-ups to chase, no-shows to recover. Voice AI hits the same tone at 9am and 5pm without burnout.
Every missed call is a lead going to whoever picks up first. After-hours, lunch breaks, peak hour. The competitor wins by default.
Customers call in Mandarin, Bahasa, Tagalog, Vietnamese. Staffing native speakers across every shift is not a budget you have.
The platforms we use most often. New ones launch every quarter. We pick what fits your use case, not what we have the deepest discount with.
Anything with an API or a SIP trunk, we will plug in. The right platform depends on your call volume, languages, latency tolerance and budget.
Four use cases that recover the most revenue for the least build complexity. Most engagements start with one and expand.
The voice agent picks up where chat stalled. Light qualifying, soft re-engagement, booking link delivered in a follow-up SMS. Same tone at 9am and 5pm without the human energy drop.
The AI calls back instantly with context: which number was dialled, what time, any history. Recovers leads that would otherwise drift to whichever competitor picked up first.
Twenty-four hours before a booking the AI calls to confirm. If the customer can't make it, the agent reschedules on the spot through your calendar. No more silent no-shows eating the day.
Customers reach a voice agent that actually listens and decides where the call goes. Qualified into a booking, queued to the right human, or solved without one. No "press 1 for sales" menus.
These are starting points. Final scope is set in your scoping interview based on where your phone leak is biggest.
4 to 8 weeks from kickoff to live, depending on use case scope, languages, and existing telephony. Fixed scope, fixed quote.
One week. We audit your current call patterns, pick the use cases worth automating first, design the voice persona, draft the script library, and map compliance scope. Output: a written scope and a fixed implementation quote.
Two weeks. We pick the right voice platform for your use case, build the script library, tune the voice and persona, set up DIDs and caller IDs, and integrate the call data flow into your CRM. Dial-test rounds start internally.
Three to four weeks. Sandbox deployment first. Internal dial-test rounds against the top 30 failure modes. Edge case scripts. Escalation rules to human. Soft launch with a low-volume cohort, then ramp.
Ongoing. Weekly call review with sentiment trends, escalation reasons, and missed-intent flags. Monthly tune to refine scripts, add languages, fix what broke, and re-platform if a meaningfully better option lands.
Voice has variable per-minute infra cost the client owns directly with the provider. Setup depends on language count, integrations, and edge-case complexity. We will not post a number that misleads.
PDPA-aware standard build. Regional consent rules covered. Private deployment for regulated industries.
Standard build covers: recording disclosure at call start, DNC register check for Singapore outbound, regional consent compliance for international (TCPA in the US, GDPR in the EU, equivalents elsewhere), structured transcript and outcome logs into your CRM, role-based access on recordings, signed DPAs with sub-processors. Suitable for retail, F&B, e-commerce, fitness, beauty, education, professional services.
For regulated work (legal, financial advisory, insurance, healthcare, accountancy, IP-heavy SMEs): voice AI deploys through our Private AI patterns instead. On-premise, private cloud, or hybrid redaction. Same call quality with data never leaving infrastructure you control. See Private AI for the spectrum.
What we will not deploy: outbound to cold consumer lists without a permission-based basis. Voice AI is a force multiplier, not a regulatory shortcut.
The one that fits your use case, call volume, languages, latency tolerance and budget.
For high-volume outbound dialing we lean on Bland or Vapi. For natural-sounding inbound with deep persona work, ElevenLabs and Retell are usually the right call. For teams already on respond.io or GoHighLevel, the CRM-native voice modules keep the call data in one place.
We pick what fits, not what we have the deepest discount with. The decision is justified in writing in your scoping document.
Per-minute cost varies by platform, language, region and concurrency. A typical English inbound minute lands in the USD 0.05 to 0.20 range on most platforms today. Multi-language and high-concurrency setups cost more.
You own the infra account directly with the provider so there is no margin stacking from us on per-minute usage. We scope the expected monthly burn during the scoping interview based on your call volume so the number you commit to is the number you pay.
English, Mandarin, Cantonese, Bahasa Malay, Bahasa Indonesia, Tagalog, Vietnamese, Thai, Hindi, Arabic, and most Western European languages are well supported. Platform coverage varies.
ElevenLabs and Retell currently lead on naturalness for less common languages. We confirm language quality with a sample dial-test before you commit, so you hear what your customers will hear.
Every voice agent we deploy has hard escalation triggers built in: confidence drops below threshold, customer asks for a human, sensitive topic detected, or 3 turns without progress.
The call transfers to a human or drops to a structured callback with the transcript attached. We dial-test every script for the top 30 failure modes before the agent ever takes a real call.
Yes, and you will. The voice AI space moves every quarter.
The script library, persona spec, escalation rules, CRM mappings and dial-test cases live in version control on your side. Migrating to a new platform is mostly a re-wire of the same logic. The retainer covers a re-platform every 12 to 18 months if a meaningfully better option appears.
Yes. We provision DIDs through Twilio, Telnyx, or the platform's own number service. SIP trunking to your existing PBX if needed. Caller ID rules per region. Local porting paperwork.
For outbound, we also set up multiple caller IDs to avoid spam-flagging by carriers, plus the monitoring to swap them out when reputation degrades.
Recordings, transcripts and structured call outcomes flow into your CRM. You decide the retention window.
Standard build keeps recordings for 90 days, transcripts indefinitely, and a structured outcome record (intent, sentiment, escalation reason) permanently. Regulated industries route through Private AI for on-prem or VPC-only storage.
It depends on the jurisdiction. Singapore PDPA and the DNC register apply to outbound, plus a recording disclosure at the start of the call. The US has TCPA. The EU has GDPR consent rules.
Most countries treat AI-voiced calls as legal if the call carries clear identification, a recording notice, and the recipient is on a permission-based list: existing customers, opted-in leads, B2B with a legitimate-interest basis. We will not deploy outbound to cold consumer lists. Compliance scope is set in scoping.
Drop your details and a short note on where your calls happen today. The team will review, send back a written scope estimate, and book a 30-minute scoping call. NDA-first available on request.
The team will review your phone setup notes and reach out within 2 working days to book a 30-minute scoping interview.