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

Scripted chatbots follow rigid decision trees. They break when user wording varies. AI chatbots use LLM reasoning and retrieval augmented generation (RAG). They understand natural language intent. They execute live tool use and function calling across systems. They update CRM sync records in HubSpot. They check Shopify order status live with zero scripts.

Chatbots answer routine customer questions 24/7. They run lead qualification from website visitors to accelerate speed to lead. Agents book appointments on Google Calendar. They generate Stripe payment links. Chatbots execute ERP integration with NetSuite and pull invoices. They resolve 70% of support tickets autonomously.

Yes. Modern language models understand conversational intent rather than exact keywords. The agent retrieves knowledge through vector search and semantic embeddings. It answers shipping queries, pricing questions, and policy details accurately. It references official documentation with zero hallucinations.

The architecture enforces confidence thresholds and human in the loop safety. When confidence is low, the chatbot initiates warm handoffs to live agents. It forwards full conversation summaries to Zendesk, Intercom, or Slack. The customer never has to repeat themselves.

Retrieval augmented generation (RAG) links language models to your documents via vector search and semantic embeddings. The agent retrieves exact policy excerpts before answering. This prevents hallucinations and ensures 100% factual accuracy.

The chatbot uses function calling and tool use to execute live actions. It checks ShipStation tracking codes. It generates Stripe invoices. It books appointments on Google Calendar and logs deal updates in CRM sync workflows.

We run automated LLM evaluation harnesses across hundreds of test cases. We measure retrieval precision, factual faithfulness, and response latency before production deployment. Observability dashboards track quality continuously.

Agents deploy across website chat widgets, email, SMS, and phone lines. They integrate with Zendesk, Intercom, and HubSpot Service Hub. We also connect social messaging channels. All channels share one central knowledge base and unified business logic.

Yes. We build voice and SMS pipelines using Twilio SIP infrastructure. The same prompt engineering and knowledge base powers your phone answering and text messaging. Callers experience natural spoken dialogue. Outbound SMS follows strict TCPA consent guidelines.

Yes. We configure the WhatsApp Business API for global customer messaging. It connects directly to the same AI agent core. For US operations, teams often combine website chat, SMS, and email for high-volume support coverage.

Yes. Chatbots send automated tracking links and payment confirmations. They dispatch appointment reminders and lead nurture sequences. These trigger from webhook events in Stripe, Shopify, or HubSpot. All outbound SMS captures TCPA consent and opt-out preferences.

Yes. When issues require human review, the chatbot summarizes caller intent and sentiment. It transfers conversations to Zendesk, Intercom, or Slack with full context attached. Human in the loop handoffs prevent customer frustration.

Yes. The agent automatically detects English and Spanish in the first message. It responds with native fluency. This provides bilingual coverage for US customer operations without maintaining two separate systems.

We integrate HubSpot, Salesforce, Zendesk, Stripe, and QuickBooks. We connect NetSuite, Shopify, ShipStation, and Google Calendar. The agent runs function calling over authenticated REST APIs and webhooks.

Yes. All automated calls and SMS to US numbers must follow TCPA rules. The system enforces local calling windows from 8am to 9pm. It captures written consent and executes instant opt-out requests with full audit logging.

We build to strict security standards. For healthcare clients, we deploy HIPAA-compliant private cloud VPCs. For California users, we support CCPA data deletion requests. All data encrypts in transit and at rest with role-based access control.

Focused website chat agents deploy in 2 to 3 weeks. Multi-channel enterprise agents with CRM sync and ERP sync take 4 weeks. Every build includes custom prompt engineering, connector setup, and testing.

We need sample customer inquiries and knowledge base documents. We require API access for connected platforms like HubSpot or Shopify. We define tone of voice, escalation paths, and tool use permissions together.

We build a retrieval augmented generation (RAG) knowledge engine. We convert your product manuals, pricing sheets, and FAQs into vector embeddings. The agent references verified data before answering. You update documents anytime via a simple admin panel.

Every deployment includes 30 days of post-launch tuning and observability monitoring. We inspect conversation transcripts and optimize prompts. We provide team training and offer optional ongoing maintenance retainers.

FactoryJet builds on a transparent fixed-price model. Pricing depends on integration depth and channel count. You pay model token usage directly to providers with zero software markups from us.

Clients recover 20 to 40 hours of support time weekly. Deflecting 70% of routine inquiries delivers full payback within 3 to 5 months. Faster lead qualification improves speed to lead and boosts sales conversion rates.

You pay cloud hosting and LLM token usage directly at cost. You pay direct telephony fees to Twilio for SMS and phone. FactoryJet charges zero recurring SaaS fees unless you request an ongoing maintenance retainer.

Yes. Connections use encrypted REST APIs with least-privilege role-based access control. We offer private model deployments where data never leaves your VPC. Audit logging records every transaction for SOC 2 and GDPR compliance.