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 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.