Lead Follow-Up Automation in NYC

SMS open rates are 98%. Email open rates are 20%. When someone fills out a contact form on your website, the fastest and most effective way to engage them is a text message — within seconds of form submission. Our AI systems send an immediate, personalized text from a dedicated number, acknowledge the specific service they inquired about, ask qualifying questions to understand their needs, and guide them toward booking an appointment — all without human involvement, all at any hour of the day. This is not a generic autoresponder. The AI understands context, responds conversationally, and adapts based on what the customer says.

The text-based interface has a key advantage over chatbots: it meets the customer where they are. Most people who fill out a form on your website are on their phone. They've already shown intent. A text message that arrives immediately captures that intent at its peak — before they've moved on, before they've called your competitor, before they've second-guessed themselves. The businesses that implement this system consistently see lead conversion rates 2-3x higher than businesses that rely on manual follow-up, because they're simply responding faster and more consistently.

We also build out the SMS system for returning customer recognition. When a previous client texts your number, the AI recognizes them by phone number, pulls their full history from the database, and skips questions she already has answers to. A returning cleaning client doesn't need to provide their address, preferred schedule, and service preferences again — the AI already knows. She acknowledges them by name, confirms the relevant details, and books them in a fraction of the time a manual booking takes. This is the kind of experience that generates reviews and referrals.

Selena is the AI employee we built for a home cleaning service in NYC. She lives in the hero section of their website (not buried in a corner), handles their SMS line, and has her own dedicated page. She processes new leads through a 10-item qualification checklist — service type, home size, bedrooms, bathrooms, rate, preferred day, preferred time, name, phone, address, and any notes — and creates a pending booking in the database when all information is collected. The entire process takes an average of 4-8 messages exchanged. Before Selena, it took a 10-15 minute phone call and significant administrative time.

For returning clients, she recognizes the phone number, pulls their full profile including past bookings, conversation history, preferred cleaner, and rate — and the rebooking conversation is down to 4 messages instead of 10. She enforces the business's cancellation policy automatically (first-time clients can't cancel, recurring clients need 7 days notice), handles rescheduling with a real availability check before confirming a new time, and escalates to the business owner when something is outside her scope — with full conversation context so the handoff is seamless.

The admin dashboard shows total chats, bookings, conversion rate, average rating (she asks for a 1-5 rating at the end of every booking conversation), average messages per booking, channel breakdown (SMS vs. website chat), and a live feed where the owner can click into any conversation for full transcript. Every failure generates an immediate alert with conversation ID and error detail. The system is monitored, not just deployed. That's what "real AI" means as opposed to a chatbot plugin — accountability at every layer.

Lead follow-up automation doesn't require a full AI system. A simpler version — immediate acknowledgment via SMS and email when a form is submitted, followed by scheduled follow-up sequences at 24 hours, 72 hours, and 7 days — can dramatically improve lead conversion rates with a fraction of the development investment. We build these systems as well, starting at a lower price point than full AI deployment, for businesses that aren't ready for the complete AI employee but understand they're leaving money on the table with manual follow-up.

The follow-up sequence is designed around your sales process. For a business with a short sales cycle (home services, cleaning, landscaping), the follow-up is rapid and direct — get them to book quickly because the decision window is short. For businesses with longer sales cycles (legal, financial, construction), the sequence is longer and more educational — providing value at each touchpoint that builds trust while keeping your business top of mind. We map your existing sales process before designing the automation so the system enhances it rather than replacing it with something that doesn't fit.

We also build review request automation triggered after job completion. A text or email goes out at the optimal time after service delivery (typically 24-48 hours, when satisfaction is at its peak) with a direct link to your Google Business Profile review page. The timing and specificity of this message — referencing the specific job done and delivered at the right moment — produces 3-5x the review volume of generic monthly review request emails. More reviews drive higher GBP rankings, which drive more organic leads, which closes the growth loop.

Most "AI chatbot" products on the market are built on third-party platforms — you pay monthly, they control the infrastructure, and when they change their terms or pricing, you have no leverage. When they go down, your system goes down and you have no visibility into why or when it'll be fixed. We build on infrastructure we control: Telnyx for SMS and voice (carrier-grade, reliable, with direct phone number management), Supabase for the database and authentication (open-source, self-hostable, no vendor lock-in), and Claude AI for the intelligence layer (Anthropic's model, which we've found superior for conversational accuracy and instruction-following).

This means our systems are genuinely customizable. When you need a new capability — a new workflow, a new integration with your scheduling software, a new escalation rule — we add it. We're not constrained by what a SaaS platform allows. Every system we build is fully transparent: we can show you every piece of code, every workflow, every database table. The data is yours. The integrations are ours to maintain and update. If something breaks, we know about it before you do because we have monitoring in place that alerts us immediately.

The economics over time strongly favor custom over SaaS. A good AI chatbot platform costs $200-1,000/month and does a fraction of what our systems do, with limitations on customization, no database integration, and no real SMS capability. Our system costs more upfront but less over the long run, and grows with your business rather than constraining it. At 24 months, a custom system typically costs significantly less than the SaaS alternative while delivering dramatically more capability.