AI Chatbot Agents Built for US Customers, Live in 2–3 Weeks

A scripted chatbot follows a fixed decision tree, it works only if the customer clicks the expected buttons and breaks the moment someone types something unexpected. An AI chatbot uses a large language model to understand natural language intent, respond conversationally, and handle questions the script never anticipated. It also takes actions: checking your Shopify order status, updating HubSpot, sending a Stripe payment link, things a scripted bot simply cannot do.

The most common tasks: answering the same website chat and email questions 200 times a day (order status, pricing, availability), qualifying inbound leads from ads and pushing them to HubSpot or Salesforce, booking appointments or demos without a human involved, sending Stripe payment links and confirming receipt, processing returns by checking your Shopify or WooCommerce orders, and pulling invoices out of QuickBooks. If your support team does it more than a few times a day, an AI chatbot agent can handle it.

Yes, that is the core advantage of AI over scripted bots. Large language models understand intent, not just keywords. A customer asking 'where is my package', 'has my order shipped', or 'any update on my delivery' will all be understood as the same question. The agent reads your ShipStation or carrier tracking data and replies accurately, regardless of how the customer phrases it.

Every chatbot we build includes a confidence threshold, if the model is not sure, it escalates to a human agent rather than guessing. We set this up with a context handover (the agent sees the full conversation history) so the customer does not have to repeat themselves. You control where escalations go: a live chat queue, a Zendesk ticket, a HubSpot task, or a Slack notification.

Your website (embedded widget), email, SMS, and your phone line as a voice agent. We also deploy into support portals like Zendesk, Intercom, and HubSpot Service Hub, plus Facebook Messenger and Instagram DMs where social is a real support channel for you. Most US businesses start with the website widget because that is where the highest-intent traffic already lands, then add SMS and email.

Yes. We build voice and SMS agents on Twilio so the same knowledge base and the same business rules power your phone line, your text messages, and your website chat. Callers get a natural conversation rather than a phone menu, and the agent can transfer to a human with the full call context attached. Outbound SMS and calls follow TCPA consent rules.

Yes, as one option among several rather than the default. WhatsApp makes sense if you sell to customers outside the US or into communities that already message that way. We set up the WhatsApp Business API through a Meta-approved provider and run it off the same agent. For most US businesses, website chat, email and SMS carry far more volume, so that is where we usually start.

Yes. Common use cases: order shipped notifications, payment confirmations, appointment reminders, follow-up messages to leads who went quiet, and re-engagement campaigns. We wire the triggers into your Stripe, Shopify, or HubSpot events so they fire automatically. For SMS and voice we build in TCPA consent capture and one-click opt-out before anything goes out.

Yes. Spanish is the largest non-English language spoken at home in the US, accounting for 61.1% of people who speak a language other than English, per the Census Bureau's 2018–2022 American Community Survey. We configure the agent to detect the language the customer writes in and reply in kind. Detection is automatic, so one agent handles both languages without you maintaining two separate bots.

We integrate with the standard US SMB stack: HubSpot and Salesforce for CRM, Zendesk and Intercom for support, Stripe for payments and payment links, QuickBooks and NetSuite for invoicing, ShipStation and carrier APIs for order tracking, Shopify and WooCommerce for e-commerce data, Twilio for SMS and voice, and Calendly or Google Calendar for booking. If your platform has an API or webhook, we connect to it.

Yes, and this is the part most vendors gloss over. The Telephone Consumer Protection Act governs automated calls and texts to US consumers. That means capturing prior express written consent before marketing messages, honoring calling-time windows, identifying your business at the start of the call, and processing opt-out requests immediately. We build consent capture, calling-window logic, and opt-out handling into the agent, and log every one of those events so you have an audit trail.

We do not sell certifications, we build to the rule. For California residents under CCPA and CPRA, that means the conversation data the agent stores is documented, deletable on request, and never sold on. For healthcare clients, we keep protected health information inside HIPAA-eligible infrastructure, sign a business associate agreement where one is required, and can run a private LLM setup so conversations never reach a third-party model provider. Every data flow is written down and handed over at delivery.

A focused website or email chatbot goes from kickoff to live in 2–3 weeks. Multi-channel agents with deeper CRM/ERP integrations take 4–6 weeks. The timeline depends on the number of integrations and how many conversation flows we need to build, we give you a firm estimate after a 45-minute discovery call.

Access to the channels you want the agent on (website, help desk, Twilio number), API keys for the tools we integrate (HubSpot, Shopify, Stripe, and so on), your product or service content for training the knowledge base (FAQs, product catalog, pricing, even a Google Doc works), and your brand guidelines (tone, language preferences). We send a structured onboarding form after the discovery call.

We build a knowledge base from your existing content: website copy, FAQs, product descriptions, pricing documents, support macros. We process this into vector embeddings (RAG architecture) so the agent retrieves relevant context before answering. You update the knowledge base through a simple admin panel, no technical skills required.

Every project includes a 30-day post-launch window. We monitor conversation logs, tune responses where the agent underperforms, fix any integration issues, and run a training session for your team. After 30 days, you manage the agent through the admin dashboard, or continue on an optional monthly retainer for ongoing optimization and new conversation flows.

FactoryJet AI chatbot agents are fixed price after a scoping call, and the price is scoped to your build: a focused website chatbot, a support and sales agent with CRM integration, or a multi-channel platform. Every project is quoted up front after a free discovery call, so you know the full cost before work starts. No hourly billing surprises. Separately, LLM API costs are billed directly by the model providers based on your conversation volume.

The most common ROI comes from support labor savings. An agent handling 70% of routine questions absorbs the workload of one to two support reps, with payback in 3–6 months for most businesses. Secondary ROI: leads that now get an instant response instead of waiting until the next business day convert at meaningfully higher rates. Most clients see measurable improvement within 30 days of launch.

Two types, and neither goes to us. LLM API costs are billed directly by the model providers based on your conversation volume, and we do not mark them up. Channel costs (a Twilio number for SMS and voice, or your existing help-desk seat) are billed by those vendors on their own plans. FactoryJet charges nothing ongoing unless you choose a monthly retainer for optimization.

Yes. We use API-level integrations (no screen scraping), enforce least-privilege access so the agent reads only the data it needs, and implement full audit trails on every action. For financial services, healthcare, and legal clients, we offer private LLM setups where your data never leaves your infrastructure. All data flows are documented and handed over at delivery.