AI customer support agents that resolve tickets autonomously - not script-driven chatbots.
AI Chatbot Development Services For US Companies A Remote Dedicated Developer
A remote mid-to-senior developer who builds and runs your AI chatbot: answers from your own help center with the source linked, handoff into Zendesk, Intercom or Salesforce, and HIPAA, SOC 2 and CCPA requirements handled in the build. Live with your morning on Eastern time, invoiced monthly in USD.
AI Chatbots From Empiric Infotech LLP
Empiric Infotech LLP provides AI chatbot development services to US companies through a remote dedicated developer: one mid-to-senior engineer, or a small dedicated team, who builds your chatbot and then keeps improving it. The chatbot answers from content you already maintain, such as Zendesk Guide or Intercom articles, Salesforce Knowledge, Confluence, Notion and resolved tickets, and it links every answer to the page it came from. When a question falls outside that content, it says so and opens a ticket with the conversation attached. A US rollout has its own checklist, and the build covers it from the first week: a plain notice that the customer is chatting with an AI, a widget that works with screen readers and keyboards, CCPA access and deletion requests that also reach stored transcripts, HIPAA-eligible model hosting under your BAA when patients use the chat, and the access logs a SOC 2 auditor will ask to see. Your developer joins your standup in the Eastern morning and leaves a written handover at the end of each day. A senior team lead reviews and tests every release. Our US AI work includes Superintelligence, a conversational AI product, and EndoDNA, a HIPAA-compliant clinic platform with an AI health assistant.
What our AI chatbot development services deliver for US teams
A chatbot your support lead is comfortable putting in front of customers, built in your accounts and kept current by the developer who built it.
Answers that cite your help center
Retrieval over Zendesk Guide, Intercom articles, Salesforce Knowledge, Confluence, Notion, Google Drive or SharePoint, plus resolved tickets where they add detail. Each answer links to its source article, content is re-indexed when an article changes, and an evaluation set built from your real ticket history runs before every release.
A handoff your agents will accept
When the bot hands over, the ticket lands in Zendesk, Intercom, Salesforce Service Cloud, HubSpot Service Hub, Freshdesk or Gorgias with the transcript, the articles the bot used and a one-line summary. Routing follows your rules: topic, plan tier, sentiment or business hours in each US time zone.
Disclosure and accessibility in the widget
A clear notice that the visitor is chatting with an AI, which California's bot disclosure law expects when a bot takes part in a sale, and a widget built to WCAG 2.1 AA so keyboard and screen-reader users can use it. Both ship in the first version.
CCPA requests and HIPAA workloads
Access and deletion requests under the CCPA and the newer state privacy laws reach transcripts, analytics and the vector index, not only the CRM. When chats can carry patient details, the model runs on HIPAA-eligible services such as Azure OpenAI or Amazon Bedrock under your BAA, and protected health information is masked in logs.
Evidence for SOC 2 and security questionnaires
Role-based access to the bot's admin settings, an audit trail of prompt and content changes, encrypted transcripts with a retention period you set, and reviewed, logged deployments. Your auditor runs the audit; the engineering evidence behind each control is ready when they ask.
One knowledge base across web, app, SMS and Slack
The same content powers the website widget, the in-app chat for signed-in users, SMS through Twilio with A2P 10DLC registration done, and Slack or Microsoft Teams for internal questions. A dashboard shows resolution rate, escalations by topic, unanswered questions and cost per conversation.
How a US chatbot engagement starts
From the first call to a chatbot answering real questions in about a week, scheduled around US working hours.
A call in your morning
Thirty minutes on Eastern, Central or Pacific time. Bring your top ticket categories, where your help content lives, your helpdesk, and any HIPAA or security review the chatbot has to pass.
A written scope within 24 hours
The first questions the bot will own, the sources it reads, the channel, the handoff rules, the compliance items that apply to you, and an introduction to one developer who fits. The NDA and IP assignment are signed and our W-8BEN-E goes to your finance team.
A 7-day risk-free trial
Your developer starts within 48 hours. By day 7 the chatbot answers real questions from a slice of your content, with sources, and day 7 is a real decision point with a full refund if it is not a fit.
Monthly in USD, or hourly
Monthly for an ongoing roadmap, hourly for a defined job, one USD invoice either way. Add a developer when you add channels or languages, or stop with seven days' notice.
AI chatbot development pricing for US companies
Two plans, both invoiced in USD and both with a senior team lead reviewing and testing every release. Monthly is a developer working full time on your chatbot for 160 to 172 hours, billed monthly upfront, with a 7-day risk-free trial. Hourly fits one defined job, such as a first retrieval pipeline, an evaluation pass or a model change. AI work carries a higher hourly rate than our standard one because retrieval tuning comes in short expert bursts; the monthly rate is the same as for any dedicated developer. Model, embedding and vector database usage is billed to your own OpenAI, Anthropic or AWS account at cost.
Hourly plan
- A dedicated AI developer for the hours you book, tracked to the minute
- Suits a first retrieval pipeline, an evaluation pass or a model change
- A weekly time report and a demo of what shipped
- Your repo, your AWS, Azure or GCP account and your model keys
- Billed in USD by ACH, wire or card
Monthly plan
- 160 to 172 hours a month on your chatbot, full-time and exclusive
- Live with your Eastern morning, with a written handover every day
- New content, channels and evaluations as your help center grows
- 7-day risk-free trial, then seven days' notice to stop
- One monthly USD invoice; W-8BEN-E provided
Dedicated team
- Two or more developers plus a senior team lead who reviews and tests every release
- Web chat, SMS and an internal Slack assistant built in parallel
- A UI/UX designer for the widget and the admin views
- A developer added in 48 hours at the same monthly rate per person
The first 90 days of a chatbot with a US team
The usual shape of the first three months, run on your morning standup and a written handover each day.
- Week 1
Access, a content audit and a first slice
Read access to your help center and helpdesk, a sandbox for handoff testing, and a check of which articles are current. The bot answers a first slice of real questions with sources, measured against an evaluation set drawn from recent tickets. Day 7 is the trial decision.
- Month 1
Live on the first channel
The chatbot goes live on your website or in your app for a share of traffic you choose, with the AI notice, the accessible widget, handoff into your helpdesk and a dashboard your support lead reviews every week.
- Month 2
Wider content and the compliance work
More sources indexed, the questions it missed turned into new articles or retrieval fixes, CCPA deletion tested through transcripts and the index, and BAA-covered hosting in place if patient data is involved.
- Month 3
A second channel and cost tuning
SMS or Slack added on the same knowledge base, a newer or less costly model tested against your evaluation set before any switch, and the next quarter planned with your support lead.
A dedicated chatbot developer vs a US chatbot agency, a chatbot platform you configure, or an in-house AI engineer
| Empiric Infotech (remote dedicated developer) | Chatbot agency (fixed-price project) | Chatbot platform you configure | In-house AI engineer (US hire) | |
|---|---|---|---|---|
| How you pay | A flat monthly fee per developer, or hourly for defined work; model usage on your own accounts | A fixed bid per phase; changes become change orders | A subscription that grows with conversations, resolutions or seats | Salary, benefits and payroll tax; US software developers' median pay is $135,980 a year (BLS, May 2025) |
| Who builds and tunes it | One mid-to-senior developer on your chatbot only, plus a senior team lead | A project team that moves on after launch | Your support team, inside the vendor's settings | Your employee, if you can hire one with retrieval experience |
| Answers grounded in your content | Your sources, retrieval tuned to them, a citation on every answer, evaluations before every release | To the spec agreed at the start | Within the limits of the vendor's retrieval | As far as your team takes it |
| HIPAA, SOC 2 and CCPA | Part of the build: BAA-covered hosting, audit logs, deletion that reaches the vector index | Usually quoted as extra scope | Depends on the vendor's plan and its BAA terms | Yours to design and document |
| When a model or a policy changes | The same developer re-runs the evaluations and ships the change | A support ticket or a new retainer | When the vendor supports it | Whoever built it, if they are still there |
| Time to start | 48 hours | Weeks: proposal, statement of work, kickoff | Days to sign up, then weeks loading and tuning content | Months of hiring |
| Paperwork | One USD invoice a month; W-8BEN-E provided | Per agency terms | Per vendor contract | W-2 payroll |
The comparison describes how each option usually works, not any one provider. Model and vector database usage is a cost in every option; with us it is billed to your own accounts.
Working hours and overlap with US time zones
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 11:00 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:30 PM (next day).Live cover across the edges of your day, your morning and your evening, with a project manager who replies the same business day.
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:30 AM (next day).We are online through your evening and overnight, and your project manager sets live calls in your morning so you are never blocked.
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:30 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:30 PM.
Australia East (Sydney, Melbourne, Brisbane) - full team online 3:00 PM - 1:00 AM (next day), project manager 1:00 PM - 4:30 AM (next day).
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why US support and product teams hire a dedicated chatbot developer
A chatbot that answers correctly in month one starts to drift by month three: articles change, prices change, a feature ships, the model provider updates its models. A fixed-price agency hands over the first version and moves on, so every later fix starts with someone new learning your content. Hiring in-house keeps that knowledge, but US software developers' median pay is $135,980 a year (BLS, May 2025) before benefits and payroll tax, and few engineers on the market have shipped retrieval in production.
A dedicated developer keeps the context: which articles customers misread, which questions should always reach a person, which channel your customers prefer. The time difference works in your favour. Your developer is live with your Eastern morning for the standup and any review, then spends the rest of their day on content fixes and evaluations, and a written handover is waiting when your team starts.
You own the code, the prompts, the vector index and the accounts from day one, the invoice is one monthly bill in USD, and you can stop with seven days' notice. If your chatbot will talk to patients, ask us about EndoDNA, the HIPAA-compliant platform a single Empiric Infotech developer built for a US client.
Recent AI, product, and integration work
Superintelligence: a conversational AI product
A language-model product for natural conversation across school, work, health and personal use, built for a US client by a two-developer Empiric Infotech team: the application, the model integration and the backend behind it.
Read case studyEndoDNA: an AI health assistant inside a clinic SaaS
A HIPAA-compliant multi-tenant platform that brings lab results, genetic data and an AI health assistant into one workspace for each clinic, with user permissions and subscription billing, built by a single dedicated developer from Empiric Infotech.
Read case studyRoamate: real-time messaging for a travel platform
A travel companion platform that matches travelers by personality and connects them through real-time messaging and community features, built and extended by a single dedicated developer from Empiric Infotech.
Read case studyVelvet Passport: a creator and brand marketplace
A marketplace that connects creators with brands for collaborations, perks and events, built for a US client by a two-developer Empiric Infotech team.
Read case study“Having a development partner you can fully trust is invaluable”
- Charli Sharp, Founder & CEO, Roamate
Who We Help:
Built for Businesses That Need
Conversations That Convert
We partner with founders, support teams, and growth leaders who’ve outgrown basic chat widgets and need AI-powered chatbots that actually understand, respond, and drive results.
This Is for You If:
Your customers ask complex questions that scripted bots can’t handle
You’ve tried off-the-shelf chatbot tools - but hit limits in customization or accuracy
You’re still relying on live chat agents for repetitive, high-volume queries
You need a bot that can handle multiple intents, languages, and integrations
You want AI that represents your brand voice, not a generic template
You’re ready for a chatbot that boosts conversions, reduces support load, and scales with your business

What We Do
We Build AI Chatbots That Talk, Think, and Deliver Results
We don’t just embed a script into a chat window. We design fully customized, AI-powered chatbot systems - tailored to your brand voice, customer needs, and business goals.
No generic templates. No shallow automation. Just deeply intelligent bots that understand, respond, and convert - like your best support agent, available 24/7.
What We Build:
AI chatbots that handle complex, multi-turn conversations
Natural language understanding (NLU) to interpret user intent accurately
Context-aware responses that adapt as the conversation evolves
Multi-channel bots for websites, apps, social media, and messaging platforms
Seamless integrations with CRMs, helpdesks, eCommerce, and internal tools
Scalable systems that grow with your customer base and product range
Platforms & Tools We Work With (and Beyond):
We’re platform-agnostic - if it can chat, we can make it smarter.
Core Capabilities

Conversational AI for Every Touchpoint
Design intelligent chatbots that handle sales, support, onboarding, and FAQs - across web, mobile, and messaging platforms - with context awareness and natural conversation flow.
Built with: Chat-GPT, OpenAI APIs, LangChain, Dialogflow, Rasa

Multi-Channel Deployment
Launch your chatbot on WhatsApp, Facebook Messenger, Instagram, web chat widgets, or custom in-app solutions - with unified logic across all channels.
Powered by: WhatsApp Cloud API, Meta APIs, Telegram Bot API, Twilio

Context-Aware Conversations
Enable your chatbot to remember past interactions, understand user intent, and adapt responses based on conversation history and business rules.
Tech behind the scenes: LLMs, vector databases, custom NLP pipelines

Seamless System Integrations
Connect your chatbot with CRMs, ERPs, payment gateways, booking systems, and custom APIs - so it can do more than just talk.
Integrated into: HubSpot, Salesforce, Zoho, Stripe, n8n, Make

Analytics & Continuous Improvement
Get real-time insights into chatbot performance, user behavior, and drop-off points - then optimize conversations for better engagement and conversions.
Integrated with: Google Analytics, PowerBI, custom reporting dashboards
How We Build Chatbots That Scale
A Collaborative Process, Built Around Your Conversations
We don’t just drop a chatbot on your website - we design conversational systems that understand your users, connect with your tools, and scale with your business. Our process ensures your chatbot delivers measurable value from day one.
Industries We Build For
Built for Meaningful Conversations - Across Sectors
From high-growth startups to complex enterprise environments, we design chatbots that handle real business conversations - not just scripted Q&A.
Industries We Serve:

SaaS & Startups
Lead qualification, user onboarding, in-app support

E-commerce
Product recommendations, order tracking, returns handling

HR & Recruitment
Candidate screening, interview scheduling, onboarding assistance

Healthcare Admin
Appointment booking, patient intake, compliance reminders

Logistics & Ops
Shipment updates, dispatch coordination, vendor communication

EdTech
Course guidance, student onboarding, test preparation assistance
If your customer interactions are too important for generic bots, you’re in the right place.
Why Empiric Infotech for Chatbots
What Sets Empiric Infotech Chatbots Apart
We’re not pushing cookie-cutter chat widgets. We craft intelligent, conversational agents that understand context, adapt to users, and integrate seamlessly into your workflows.
Our Approach:

ChatGPT-powered conversations
context-aware, multi-turn interactions that feel human

100% custom dialogue flows
built around your brand voice and business logic

Privacy-first design
GDPR-compliant, secure hosting, and full data control

Rapid prototyping
launch test-ready bots in weeks, not months

Founder-led collaboration
direct access, transparent decisions, no middle layers

Ongoing evolution
continuous tuning, analytics-driven improvements, and feature expansion
Tools We Work With
Platform-Agnostic. Conversation-First.
Built to Scale.
We build chatbots using the most advanced AI, NLP, and messaging platforms - always choosing the right stack for your business goals, not our convenience.
What We Work With:
AI & Language Models
Automation Platforms
AI Frameworks
Voice & Communication
Backend & Database

OpenAI

Claude

Gemini

Mistral

Meta LLaMA
We’ll design a setup that fits your compliance and control needs.
Why Businesses Choose Empiric Infotech LLP?
Compliance & Security
Chatbots Without Compromising Privacy or Control
What We Deliver:

GDPR-compliant conversations & data storage

Role-based access controls (RBAC) for sensitive interactions

Self-hosted deployment options for all core chatbot services

Full audit logs & data retention governance
Built for teams that need voice AI - without compromising control.
Let’s Build the Smart System Your
Business Deserves
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
A working chatbot and the developer who keeps it accurate. Empiric Infotech builds the retrieval over your help content, the chat widget or in-app chat, the handoff into your helpdesk, the evaluations that catch wrong answers before release and the dashboard your support lead uses. A remote dedicated developer does the work in your own accounts, and a senior team lead reviews and tests every release.
A flat monthly fee per dedicated developer for 160 to 172 hours of full-time work, or an hourly rate for a defined job; current rates are in the pricing section above. Model and vector database usage goes on your own accounts at cost. For comparison, a US software developer's median pay is $135,980 a year (BLS, May 2025) before benefits and payroll tax.
Two hours of live overlap with US Eastern time, 8:00 to 10:00 AM ET (one hour from November to March), and the project manager is available until 1:30 PM ET. Central teams get an hour from 8:00 AM CT, and West Coast teams work through the project manager and a written handover that is waiting each morning.
One invoice a month in USD, paid by ACH, wire or card, and yes, we provide a completed W-8BEN-E for your accounts team. It is a vendor engagement, so payroll tax and benefits stay off your books.
Yes, when it is built for it. The model runs on a HIPAA-eligible service such as Azure OpenAI or Amazon Bedrock under your BAA, transcripts are encrypted and kept for the period your policy sets, protected health information is masked in logs, and a person takes over clinical questions. EndoDNA, a HIPAA-compliant platform with an AI health assistant, was built for a US client by a single Empiric Infotech developer.
Yes. The build includes role-based access to bot settings, an audit trail of prompt and content changes, encrypted transcripts with set retention, and CCPA access and deletion requests that reach transcripts and the vector index. Your auditor still issues the SOC 2 report, with the evidence for each engineering control ready for them.
About a week to a first version and a month to production. Your developer starts within 48 hours, the bot answers real questions from part of your content by day 7, and in month one it goes live on your first channel for the share of traffic you choose.
Yes. We can power the answers behind your existing widget or build a new one, and handoffs go back into the queues your agents already work, with the transcript and sources attached. Where your helpdesk's built-in AI covers a use case well, we use it and build around it.
You do, fully. The NDA and IP assignment are signed before work starts, the code sits in your GitHub or GitLab organization, and the transcripts, vector index and model keys live in your own accounts. Billing is monthly upfront and you can stop with seven days' notice.
Yes. Superintelligence, a conversational AI product, was built for a US client by a two-developer Empiric Infotech team, and EndoDNA's AI health assistant runs inside a HIPAA-compliant clinic platform built by a single dedicated developer. Roamate, a US travel platform with real-time messaging, also runs on one dedicated developer.
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