Voice agents · case study portfolio
Every missed call is a booked appointment someone else answered.
Eight industries, one pattern: high call volume, thin staffing, and revenue leaking through voicemail after hours. Here is how Sciquire deploys AI voice agents that qualify, book, and route in the time it takes a phone to ring twice.
The portfolio
Same technology. Eight very different phone problems.
A BPO measures success in cost-per-call. A recruitment agency measures it in time-to-first-contact. An insurance agency measures it in leads that never went to voicemail. The voice agent is the same core engine. What changes is the script logic, the systems it writes back to, and the metric it moves. Each case below maps a real operational bottleneck to a deployment pattern and the outcome it drives.
Cutting cost-per-call without cutting the client's CSAT
A mid-size outsourcing provider handled inbound support for three retail brands. Password resets, order-status checks, and store-hours questions ate roughly two-thirds of agent minutes: low-value work carrying a full labour cost, while complex escalations waited in queue and dragged satisfaction scores down with them.
- A front-line voice agent that answers on the first ring and resolves tier-1 intents end to end, with no menu tree in the way.
- Live intent detection and sentiment routing. The moment a caller needs a human, they are warm-transferred with full context attached.
- Automated after-call work: summaries, CRM updates, and case tags written back instantly, so human agents never touch a wrap-up form.
Agents stopped competing with the AI and started inheriting only the calls worth their time. Deflected volume freed headcount for the escalations that actually move a client's CSAT, which is the metric BPO contracts get renewed on.
The overflow line that never sends a caller to voicemail
An in-house support centre staffed for average volume, which meant every Monday, every promo, and every outage buried the queue. Abandoned-call rates spiked exactly when customer patience was thinnest, and hiring for peak was economically impossible.
- A voice agent sitting as an elastic overflow tier, catching calls the instant hold time crosses a threshold so nobody waits in silence.
- Unlimited concurrency. A hundred simultaneous callers get answered as fast as one, so peak surge stops being a staffing maths problem.
- Full after-hours coverage. The line that used to go dark at 6pm now qualifies, resolves, or schedules a morning callback.
Capacity became something you turn up rather than something you recruit for. First-call resolution and automation rate, the KPIs a modern centre lives by, moved without adding a single seat.
Screening 3,000 applicants before a competitor picks up the phone
A staffing agency filling high-volume warehouse and support roles received thousands of applications a month against a four-person recruiting desk. The best candidates took the first offer that moved, and the agency's 72-hour callback lag lost them by default.
- A voice agent that calls within seconds of application, runs a structured screen on availability, location, and knockout criteria, and scores the response.
- Results and transcripts written straight to the ATS, so a qualified candidate goes from Apply to a booked interview slot in under a minute.
- Overnight re-engagement of dormant pools. The agent works old databases while the office sleeps, surfacing credentialed silver-medalists for recruiter handoff.
Recruiters stopped spending the day on phone screens and started spending it on the shortlist. In a documented healthcare-staffing deployment, one agent worked 9,200 dormant leads in 30 days and surfaced 397 credentialed candidates, roughly the workload of 7.6 recruiters.
A booking desk that works across every timezone its travellers are in
A travel agency's phones ran hot with the same three calls: what is my itinerary, can I change my flight, what does the package include, while genuinely complex trip planning sat on hold. And a traveller stranded at a gate at 2am had nobody to call.
- A multilingual voice agent handling itinerary lookups, package questions, and quote requests around the clock, in the caller's own language.
- Booking modifications and rescheduling processed live: date changes, confirmations, and cancellation requests against real availability rules.
- Human consultants get only the high-value planning calls, arriving pre-qualified with destination, dates, and budget already captured.
Routine servicing stopped consuming consultant hours, and coverage extended to every hour travellers were actually travelling. A 9-to-5 desk became a genuine 24/7 service without a night shift.
Turning the 30% of calls that went to voicemail into qualified leads
A regional property and casualty agency with fifteen producers missed roughly a third of inbound calls at peak, and licensed agents burned about 2.5 hours a day each on admin: data entry, policy lookups, scheduling, instead of writing business.
- A voice agent that answers every call, qualifies the prospect against intake criteria, and books the appointment directly on a producer's calendar.
- First-notice-of-loss and policy-servicing intake: verification, billing questions, simple endorsements, captured conversationally and logged to the AMS.
- Renewal and payment-reminder outreach running proactively, warming policyholders before a licensed advisor steps in to close.
The model is not to hide the AI. It is to make sure every producer's time goes to relationships and complex decisions, with the agent handling triage and qualification so no lead hits voicemail again.
Compliant, verified support that scales with a growth curve
A fintech's support volume grew faster than it could hire, and much of it was identity verification, transaction disputes, balance and status queries, and payment reminders: repetitive, sensitive, and unforgiving of inconsistency or compliance slips.
- A voice agent running conversational identity verification and authentication against the customer database before any account action.
- Routine servicing automated: balances, transaction status, card actions, and dispute intake, on infrastructure aligned to SOC 2 and GDPR-grade controls.
- Structured collections and reminder outreach delivered consistently, with every interaction transcribed and auditable for compliance review.
Financial services is the largest adopter of conversational AI for exactly this reason: the agent delivers the same verified, policy-consistent conversation on call one and call one million, and the audit trail is built in rather than bolted on.
Answering where is my shipment so dispatch can move freight
A freight forwarder's dispatch team was buried under track-and-trace calls, carrier check-in updates, and delivery-window questions: a constant interruption that pulled coordinators off the actual work of moving loads and solving exceptions.
- A voice agent handling real-time track-and-trace, so callers get shipment status and ETAs pulled live without a coordinator picking up.
- Automated carrier check calls. The agent dials drivers for location and status updates on a schedule and logs them to the TMS.
- Exception triage and routing: routine questions resolved outright, genuine delays and disputes escalated to a human with context attached.
Status communication is high-frequency and low-judgement, exactly the work that should not consume a skilled coordinator. Offloading it lets the human team concentrate on capacity, exceptions, and the relationships that keep freight flowing.
Filling shifts and confirming visits before the day falls apart
A home health agency juggled patient intake calls, last-minute caregiver staffing, and visit confirmations against a coordination team stretched thin, while hiring up to hundreds of caregivers a month against a screening backlog that stalled every placement.
- A voice agent running patient and referral intake, capturing details, insurance, and needs conversationally, then routing to the right coordinator.
- Caregiver screening and shift-fill outreach. The agent screens applicants around the clock and dials the available roster to cover open visits fast.
- Automated visit confirmations and reminders to patients and caregivers, cutting the no-shows and gaps that disrupt continuity of care.
A leading home-health organisation hiring up to 1,800 people a month across 200 locations saw application-to-offer time fall from 6.1 to 2.7 days and a 21% lift in hires, with 40% of screenings completed on evenings and weekends the phones used to miss entirely.
How Sciquire ships it
Live in under three weeks, not two quarters.
Every deployment follows the same path. We do not sell a demo and disappear. We map the workflow, wire the integrations, and stay on the line while the agent learns from real traffic.
Call audit
We listen to your actual inbound mix and pick the bounded, high-volume intents where an agent wins fastest.
Script and wire
Conversation logic, objection handling, and write-back into your CRM, ATS, AMS, or TMS. No rip-and-replace.
Live traffic
The agent goes live on real calls with human escalation paths in place from day one. Nothing gets dropped.
Feedback loop
We watch transcripts, sentiment, and resolution rates, then refine. The agent gets sharper every week.
Named client deployments
Two live builds, written up in full.
The sector playbooks above describe deployment patterns. These two are named clients with the implementation detail attached.
Shreepad Group
Inbound voice operations were limited by staff availability and inconsistent qualification coverage. We built an AI voice flow with intent capture, qualification scoring, and route-to-owner escalation.
Velizaa
WhatsApp conversations were triaged by hand, creating delays and fragmented routing. We built decision-tree flows with intent routing, CRM sync, and stage-specific follow-up triggers.
Which of these calls is your team still answering by hand?
Tell us your busiest inbound intent and your current staffing. We come back with the deflection maths and a two-week pilot scoped to prove it on your own traffic.