Case studies
Selected work. Production numbers, honest tradeoffs.
Every closed Enablement engagement becomes a case study within 90 days. Here's the latest.
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
Read the full storyFortune 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
Read the full storyE-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
Read the full storyB2B 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
Read the full storyTelecom, 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%
Read the full storyGovernment 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%
Read the full storyTrades & 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
Read the full storyE-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
Read the full storyLuxury 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
Read the full storyProperty 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.
Read the full storyProfessional 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.
Read the full storyProperty 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
Read the full story