E-commerce, customer care

How an e-commerce retailer replaced a tired IVR and cut a 6-person call team to 1

Phase 2 of an e-commerce engagement. The old IVR was losing callers in menus. We replaced it with a voice agent that searches a 4,000-page product catalog live during the call and texts the buyer a link to the right product. A team of six dropped to one. Roughly $225,000 in annual savings. Still running in production 18 months later.

Annual savings

~$225,000

Call-handling team

6 → 1

Successful transfers (5 mo)

~13,000

Time in production

18 months

Fortune 200, outbound sales

How a Fortune 200 outbound team turned cold lead lists into $500K of pipeline in 15 days

An outbound campaign that would have taken a human team 500 days closed in 15. The AI calling infrastructure cost about $3,000 and produced a conservative $500K+ in additional revenue.

Additional pipeline (conservative)

$500,000+

Calling infrastructure cost

≈ $3,000

Completion rate

27.5%

Calls placed

36,000

E-commerce, peak operations

How a high-volume e-commerce team handled 15,000 peak-season calls without expanding the team

Refunds and replacements at peak ran 15,000 calls a month. The human team was burning two to five minutes per call on intake before they ever got to the actual problem. We built an agent that ran the full intake itself, resolved the simple cases end to end, and handed humans pre-populated context on the rest.

Peak monthly calls handled

~15,000

Refunds/replacements resolved end-to-end

~3,000/mo

Intake time reclaimed

2 to 5 min per call

Callback context

100% structured

B2B SaaS, communications

How a messaging SaaS shipped a voice AI feature in weeks without hiring a voice team

An SMS-first SaaS wanted to let their customers add voice AI to outbound flows in three clicks. They had the engineering team. They didn't have the voice expertise. We embedded for the build.

Time from kickoff to GA

8 weeks

Internal voice hires required

None

Customer-facing setup

3-click voice agent

Vendors evaluated

5

Telecom, multilingual inbound

How a Swiss mobile-subscription comparator handled 4,000+ German-language calls a month with one voice agent

A German-language voice agent for a Swiss mobile-subscription comparison service. About 1,000 calls a week, most of them either tech routing questions or purchase intent. The agent identified intent in the first 30 seconds, then either pointed the caller at the right provider, sent an SMS link to buy directly, or handed the complex cases to a human specialist with context already captured.

Inbound calls per week

~1,000

Monthly call volume

~4,000+

AI success rate (completed calls)

95.9%

Callback data capture

91.1%

Government services, recruitment

How a Fortune 500 contractor reactivated 46,000 candidates from a backlog the team could never reach

A Fortune 500 government services contractor was getting 5,000 to 10,000 applications a month and could not respond to most of them. We built an outbound voice agent that worked the backlog, qualified the candidates who were open to other roles, and routed the qualified ones to human recruiters. 46,000 candidates reactivated, 95,000 calls placed, 30.2% completion.

Candidates contacted

46,000

Calls placed

95,000

Qualification completion

30.2%

Routed to recruiters

~30%

Trades & home services, inbound

How a plumbing & trades operator turned 60 daily spam calls into 3 extra bookings a day

About 100 calls a day, around 60 of them spam. The team was spending so much time fighting through warranty robots and fake referrals that real customers were waiting 10 minutes to two days for a callback. We picked up instantly, blocked the spam, and routed real customers to the right person. About three extra bookings a day that would have walked otherwise.

Spam calls blocked per day

~60

Real calls routed per day

~40

Pickup latency

10+ min → instant

Extra bookings per day

~3

E-commerce, customer care

How an e-commerce team stopped letting FAQ calls drown out their real buyers

An e-commerce team was getting around 6,000 phone calls a month, and roughly 60% of those were the same handful of FAQs and product questions over and over. We trained an agent to answer all of them, transferred real buyers to the sales team instantly, and gave the client a knowledge-base sheet they manage themselves.

Monthly call volume

~6,000

FAQ share of inbound

~60%

Customer-managed knowledge base

Yes

Luxury hospitality, inbound

How a luxury spa group stopped the bad reviews and booked two days of calendar ahead

The spa was losing leads and earning bad reviews because they couldn't pick up the phone fast enough. We built an agent that answered every call, qualified the caller, booked a callback, handled upset customers with empathy, and resolved the easy FAQs on the spot. Roughly 5,000 calls handled across the tracking window.

Calls handled (tracking window)

~5,000

Real engagement rate

~65%

Callback booking accuracy

~95%

Negative-review trend

Stopped

Property management, inbound

How a property management operator put one inbound number on five jobs without overloading anyone

A phased build that gave a property management team a single inbound number capable of handling maintenance requests, business enquiries, employment queries, emergency escalations, and live transfers without a human picking up first. Structured intent routing on the front, structured intake on the back.

Professional services, tax

How a Canadian R&D tax credit firm replaced the human expert at the front of every SR&ED claim

A Canadian R&D tax credit firm wanted to replace the human expert on the front end of every SR&ED claim. We built multiple AI agents that ran the technical interviews live, pulled in supporting documents from prior tax returns, and handled the structured intake. A process capped by billable experts became scalable.

Property management, industry event

How a property management group put a working voice agent on stage and walked off with 5 inbound leads

A property management group wanted to show voice AI as part of a major industry presentation. We worked with their team for two months, built a demo agent grounded in their property setup with a real knowledge base, and rehearsed fallback scenarios for anything that might go sideways on stage. The demo landed clean. Five inbound leads off the talk itself.

Engagement length

2 months

Inbound leads from the talk

~5