United States · Remote

AI automation for US businesses: calls, leads and back-office work

AI receptionists, lead follow-up and workflow automation for US home services firms, clinics, logistics and professional services. Delivered remotely, built English-first.

What we build for US businesses

Across the United States, the same three problems come up again and again in small and mid-sized businesses: the phone rings while everyone is busy, leads go quiet after the first contact, and skilled people spend hours retyping data between systems. Three of our services fit those problems most often.

An AI receptionist for home services and clinics

An AI voice agent answers every inbound call, day or night, handles the common questions, works out whether the caller is a real job, and books them into your calendar or passes them to a person. Every call is transcribed and logged. It fits plumbing, HVAC, electrical, roofing and cleaning companies, where the technician is also the person who answers the phone (see AI for home services). It also fits medical and dental practices, where the front desk is checking someone in when the next patient calls (see AI for medical practices). In a clinic the work stays operational: booking, rescheduling and directions. Anything clinical goes to your staff.

Lead follow-up that does not depend on memory

Leads arrive from Google, Meta ads, the website, lead marketplaces and phone calls, and land in different places. AI lead generation and follow-up pulls them into one pipeline, gives every lead an owner, keeps quotes moving with reminders that escalate, and puts the likeliest jobs at the top. For SaaS and professional services firms, the same approach scores inbound demo requests and keeps the sales team working the right accounts.

Workflow automation for logistics and back-office teams

Logistics and distribution companies run on emails, PDFs and portals: rate requests, proof of delivery, carrier invoices, order confirmations. AI workflow automation reads them, enters the data, checks it against the order and flags the exceptions for a person. Professional services firms use the same pattern for client onboarding, document collection and weekly reporting. Where the work is mostly documents, document processing AI does the reading.

Client story · Kamai Elevators

Kamai Elevators, an elevator company working across four cities, had its Meta ad leads landing in a WhatsApp group. We replaced it with one lead pipeline: automatic intake, one owner per lead, escalating follow-ups, a duplicate-quote check and in-app calling. Since go-live: 70% better operational efficiency, against a 30% target set by the founder. Kamai is not a US business; the pattern is the same one a busy HVAC or roofing company faces.

Read the Kamai Elevators case study or the wider lead management use case.

How remote delivery works

We don't have a US office. Everything runs online:

  1. A free 30-minute discovery call at a time that suits you. We look at how the work moves today and where it slows down.
  2. A scoped proposal in USD, with what we would build, the number it should move, and the price. No obligation.
  3. Build around your tools. Most systems go live in 30 to 60 days, including testing and onboarding your team over video.
  4. Measure and tune. Live reporting against the agreed number. You own the code and the data.

The work is led hands-on by our founder, Thoufic, with engineers who have built and shipped products at leading technology companies.

Time zones, honestly

Our team works on India Standard Time (UTC+5:30). Your East Coast morning, roughly 8 to 11 am, is our late afternoon and evening, so live calls and working sessions fit there. An early start on our side also covers your evening. Central time works much the same, an hour later. West Coast afternoons fall in the middle of our night, so for Pacific teams we run handoffs asynchronously: you leave notes at the end of your day and find progress and questions waiting the next morning. The systems we build run around the clock; our people do not, and we will not pretend otherwise. More on how this works in working with a remote AI team across time zones.

Language: English-first, Spanish on request

Our voice agents and assistants are built English-first. Many US businesses also serve Spanish-speaking customers. If you need Spanish, raise it on the first call and we will tell you plainly what is achievable for your use case, and how a caller is handed to a bilingual person when the AI should not continue.

Regulation: HIPAA, TCPA and state privacy laws

HIPAA for clinics. If a system creates, receives, stores or sends protected health information for a practice, the vendor is a business associate and needs a business associate agreement, as does every provider underneath it, such as the AI model and hosting. See the HHS guidance on business associates. Flange is not HIPAA certified and does not claim it. We agree the BAA and how PHI is handled on the first call.

TCPA for outbound calls and texts. Inbound answering is the simple case. Outbound calls and texts made with AI or prerecorded voices need the right consent, must respect the national Do Not Call registry and your own internal list, and marketing calls are limited to 8 am to 9 pm in the recipient's local time. The FCC has a consumer guide to the robocall and text rules. We build consent checks and quiet hours into any outbound flow, and we will say so if a plan looks risky.

State privacy laws. California's CCPA, as amended by the CPRA, and similar laws in a growing number of states give consumers rights over their personal data. We agree on the first call where call recordings and transcripts are stored, who can see them and how long they are kept. None of this is legal advice: take your own.

The tools you already use

We connect to what is common in US businesses rather than replace it: HubSpot and Salesforce for sales, ServiceTitan, Jobber and Housecall Pro for field service, QuickBooks for accounting, and RingCentral or Google Voice for phones. If you run on spreadsheets and email, we start there. Our integration services page explains how the connections are built.

Not sure where to start?

Home services owners can read AI receptionists for US home services companies. For what drives the budget, read AI automation cost in the US, Europe and the UAE or how much AI automation costs. To see which kind of system fits, read AI chatbot vs AI agent. Or book the free call and we'll work it out together.

FAQ

Common questions

  • Does Flange have an office in the United States?

    No. Flange delivers remotely from India. Discovery calls, build, testing and team onboarding all run online, for businesses in the United States as well as the European Union and the UAE.

  • Can you build an AI receptionist for a US home services company?

    Yes. Flange builds AI voice agents that answer every inbound call, ask the right questions, book the job or flag an emergency to the on-call person, and log the call to your CRM or job management software.

  • Is your AI receptionist HIPAA compliant?

    Flange is not HIPAA certified and does not claim to be. If a system will handle protected health information, we agree a business associate agreement and how that data is stored, accessed and retained on the first call, before anything is built. Take your own legal advice.

  • Can an AI agent make outbound calls and texts to US customers?

    It can, but outbound calls and texts fall under the TCPA. We design around consent records, Do Not Call lists and calling-hour rules, and we will tell you on the first call if an outbound use case is too risky. Your own counsel should sign off.

  • What time zone do you work in?

    India Standard Time (UTC+5:30). That overlaps with US East Coast mornings and with your evenings. West Coast afternoons fall overnight in India, so those handoffs run asynchronously, with written updates waiting for you in the morning.

  • How much does AI automation cost for a US business?

    Flange does not publish prices. Each project is scoped and priced in USD after a free 30-minute discovery call, with no obligation. Cost depends mostly on how many systems it connects to, how messy the inputs are, and how much needs human review.

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