What Happens When the AI Goes Live
Real deployments, real numbers, and the build decisions behind them: voice AI agents, AI chatbots and WhatsApp automation for schools, clinics, developers and SaaS teams. SpaceBlanket.AI has built for Brigade Group, Embassy Group, Address Maker, The School of Raya, BugSpeaks, Digiligo, WTF Podcast (Nikhil Kamath), Wellsprings Academy, Thoughtseed, Debelle, Chirag Global, PRO31 Dermatology, Sanctum Capital, and Fabro Textiles.
Client Case Studies
The School of Raya: Turning Website Visitors into Campus Visits with a 24/7 AI Admissions Ecosystem
A new IB World School was generating enquiries faster than its counsellors could answer them. We built a website assistant, a WhatsApp agent and a voice agent that books campus visits and schedules counsellor callbacks at the time each parent chooses. Results: ~30% more campus walk-ins; 45% higher call pickup rate; 2x+ conversations with families.
Fabro Textiles: Finding International Buyers for a Knitwear Exporter with an AI LinkedIn Agent
A knitwear manufacturer lost its steady flow of buyers after the pandemic and had no sales team to replace it. We built an AI agent that finds its exact ideal customers on LinkedIn, earns the connection, and runs hyper-personalised outreach, opening the German market within six months. Results: Germany opened as a new export market; Multiple buyer conversations running at once; 6 months live, with the first deals nearing close.
More Build Write-Ups
Deployments written up on the blog. Client names are withheld at the client's request; the numbers are theirs.
How an International School Stopped Losing Admissions Inquiries to Voicemail
Business automation. A two-campus international school's admissions line went to voicemail every time staff were mid-tour or mid-interview, and parents comparing schools rarely waited for a callback. Here's how a voice AI agent answered every call and started booking tours directly off it.
How a SaaS Company Turned Usage-Limit Alerts Into Voice AI Upsell Calls
Business automation. A seat-based SaaS platform used to find expansion opportunities the way most teams do: a CS rep glancing at a usage dashboard, days after the account had already hit friction. Here's how a usage-triggered voice AI agent closed that gap to under two hours.
How a SaaS Company Automated Outbound Renewal Calls to Stop Last-Minute Downgrades
Business automation. A SaaS company's renewal process ran on email reminders for every account below its top tier, and usage drift went unnoticed until invoices went out. Here's the outbound voice AI agent we built to call every account before its renewal date, and what it caught in the first quarter.
How an Apartment Management Company Automated After-Hours Maintenance Triage With Voice AI
Business automation. A single maintenance line was treating a dripping faucet and a flooding hallway the same way: voicemail, then a callback whenever someone got to it. Here's how a voice AI agent learned to tell the two apart before a human ever got involved, and what that did to the on-call manager's phone.
How a Staffing Agency Replaced First-Round Phone Screens with a Voice AI Agent
Business automation. Recruiters at a staffing agency were spending their mornings re-asking the same six questions and chasing callbacks that rarely connected. We built a voice AI agent that calls every applicant within minutes of applying, runs the first-round screen, and only hands a recruiter the candidates who already cleared it.
How a SaaS Company Stopped Failed Payments From Becoming Cancellations
Business automation. A B2B SaaS company was losing accounts to declined cards and expired billing details, not real cancellations. We built an outbound voice AI agent that calls within minutes of a failed charge and resolves the payment on the spot.
How a Wealth Management Firm Automated Inbound Lead Qualification With a Voice AI Agent
Business automation. A boutique wealth management firm was losing prospective clients to callback delays of two and three days. We built a voice AI agent that qualifies every inbound call in real time and routes it to the right advisor before the caller has a reason to look elsewhere.
The Onboarding Emails Were Opened. Nobody Finished Setup.
Business automation. A SaaS platform's onboarding emails had great open rates and mediocre completion rates. We built a voice AI agent that calls stalled signups directly, finds out what they're stuck on, and finishes the setup live on the phone.
How a Law Firm Replaced Its After-Hours Answering Service with a Voice AI Intake Agent
Business automation. A mid-sized law firm was answering daytime calls well and losing everything after 6pm to voicemail. We built a voice AI intake agent that answers every call live, screens for conflicts, and books consultations directly onto attorney calendars, including the ones that come in at 11pm.
How a Real Estate Brokerage Built a 24/7 Voice AI Agent to Book Property Viewings
Business automation. Most property inquiry calls come in exactly when no one is at the desk to answer them: evenings, weekends, the hours people actually spend browsing listings. We built a voice AI agent that answers every one of those calls live and books the viewing on the spot.
How a SaaS Startup Stopped Losing Demo Signups With a Voice Agent That Calls Back in 90 Seconds
B2B SaaS. Most SaaS demo pipelines have a gap between signup and first contact. We filled it with a voice AI agent that calls every signup within 90 seconds, qualifying, booking, and updating the CRM before anyone on the sales team opens a new tab. Results: 90 sec from signup to first call; 100% of signups contacted.
How We Built an Outbound Voice AI Agent to Recover Churning SaaS Customers
B2B SaaS. A B2B SaaS company was watching trial accounts drift to expiry without any human touching them. We built a trigger-based outbound voice AI agent that calls every stalling trial at the right moment, and handles the entire first-touch conversation automatically. Results: Every stalling trial called automatically; Trigger-based outbound at the right moment.
How a SaaS Startup Replaced Its Inbound SDR with a Voice AI Agent
B2B SaaS. A SaaS startup was generating signups but losing them in a slow SDR follow-up loop. We built a voice AI agent that calls every new signup within 90 seconds, qualifies them on the call, and books a demo directly into the AE calendar. Results: 90 sec callback on every signup; 1 SDR replaced by one voice agent.
How a Multi-Location Fitness Studio Cut Class No-Shows and Improved Renewals with WhatsApp Automation
Fitness & wellness. A Bengaluru fitness studio group was spending 14 hours a week on manual WhatsApp messages: class reminders, renewal nudges, and re-engagement outreach. Here's what we built, how it worked, and what changed after 90 days. Results: 38% → 17% class no-show rate; 61% → 78% membership renewals.
How a Multi-Property Hotel Group Cut Guest Enquiry Response Time from Hours to Instant with WhatsApp AI
Hospitality. Four boutique properties, sixty inbound WhatsApp messages a day, and first-response times averaging five hours. Here's what we built, what we automated, and what changed for their reservations team. Results: 29% → 41% direct booking conversion; Instant first reply, every property.
How a Real Estate Developer Cut Lead Response Time from 4 Hours to 8 Minutes with WhatsApp AI
Real estate. A mid-size residential developer was losing leads to response time: four-hour waits in a market where first contact often decides which project a buyer shortlists. Here's how we cut that to eight minutes. Results: 4 hrs → 8 min lead response time; 14% → 21% enquiry to site visit.
How a D2C Brand Handled 400 Daily Customer Queries Without Hiring a Single Support Agent
E-commerce / D2C. A fast-growing D2C brand was fielding 400+ WhatsApp queries a day with two support executives and a bot that routed everything back to the same inbox. Here's what we built, how we scoped it, and what changed after the first month. Results: 400 / day customer queries handled; 0 support agents hired.
How a Four-Location Dental Group Reduced No-Shows from 34% to 12% with WhatsApp Automation
Healthcare. A four-location dental group in Bangalore had a 34% no-show rate and a reception team spending two hours a day on reminder calls. Here's the WhatsApp automation system that changed both. Results: 34% → 12% appointment no-show rate; 4 clinic locations on one system.