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Designed to fit your operations - not replace them.
AI Automation Agency For US Companies A Remote Dedicated Developer
A remote AI automation engineer who works only on your workflows: invoices into QuickBooks or NetSuite, leads routed in Salesforce or HubSpot, tickets triaged in Zendesk, with a person approving anything that matters. Live overlap with your Eastern-time morning, monthly or hourly, and a W-8BEN-E for your accounts team.
AI Automation From Empiric Infotech LLP
Empiric Infotech LLP works as an AI automation agency for US companies that have outgrown copy-and-paste operations but do not want another full-time hire just to run workflows. You get a remote AI automation engineer, booked by the month for a steady backlog or by the hour for a defined job, who works inside your own n8n, Make, Zapier or Workato account, your AWS or Azure tenant and your model keys. Typical US work: AP invoices read from a shared inbox, coded and posted to QuickBooks Online or NetSuite with a controller's approval; inbound leads enriched and routed in Salesforce or HubSpot before your reps start their day; support tickets classified in Zendesk or Intercom with a first-draft reply; vendor onboarding that collects W-9s and checks them before anyone gets paid. The model does the reading and drafting. Rules handle the money. A person approves anything that changes a customer record or sends cash. US buyers also need each workflow to clear a security review, so we build the evidence in: who has access, where data goes, what gets logged. Our engineers work from India and overlap your morning on Eastern time, and Empiric Infotech has a US office in Bridgeville, Pennsylvania. Our US healthcare reference is EndoDNA, a HIPAA-compliant platform with an AI assistant, built by a single dedicated developer. A senior team lead reviews and tests every workflow before it runs on live data.
What our AI automation agency delivers for US companies
Working automations on the processes your US team runs every day, with the controls a finance lead and a security reviewer will ask about.
Accounts payable and finance operations
Invoices and receipts pulled from a shared inbox, read with OCR and a language model, matched to purchase orders, coded to your chart of accounts and posted to QuickBooks Online, NetSuite or Bill.com. Duplicates are caught by vendor, amount and date. Anything over your threshold waits for a controller, so month-end close starts with fewer surprises.
Revenue operations in Salesforce and HubSpot
New leads enriched from the data sources you license, scored against your ideal customer profile, deduplicated and routed to the right rep or territory. Call and meeting notes summarised into the opportunity. Renewal and expansion signals pulled from product usage into a weekly list your account managers actually read.
Support triage in Zendesk, Intercom or Front
Tickets classified by product, urgency and customer tier, sent to the right queue and given a first-draft answer grounded in your help center. Agents edit and send, and a category only goes fully automatic when you decide it is safe. Refund and credit requests always stop for a person.
Controls a SOC 2 auditor can test
Service accounts with least-privilege scopes, secrets in your vault, every run logged with its inputs, the model's output and the human decision that followed, and the change history of each workflow kept in Git. When an auditor asks how an automation is controlled, you export the evidence instead of rebuilding it from memory.
Health and personal data handled with care
Workflows that touch PHI send model calls through a provider that signs a BAA with you, such as Azure OpenAI, Amazon Bedrock or Google Vertex AI, and pass only the minimum necessary fields. Access and deletion requests under CCPA and the other state privacy laws can run end to end, with a record of what was found and removed.
An engineer who keeps the workflows running
Vendors change APIs, models are retired and a new edge case shows up every month. The same engineer watches the run logs, fixes what breaks and builds the next automation on the backlog, so nothing stalls after the first project ships.
How a US AI automation engagement starts
A first workflow on real data in the first week, scheduled around your morning on US time.
A 30-minute call on Eastern time
You walk us through the processes that eat the most hours, the systems they touch, the weekly volume and where a person has to stay in the loop. An export of one messy week tells us more than a process diagram, so bring one if you can.
A written scope within 24 hours
The two or three workflows worth automating first, the platform or code each one needs, the approval points, the data each step may see, and an estimate on the hourly and the monthly plan. Our W-8BEN-E and the NDA reach your team at the same time.
A first workflow on real data
Your engineer starts within 48 hours, inside your accounts, and puts the highest-volume workflow live on a slice of real traffic with run logs and an approval step. On the monthly plan, day 7 is a real decision point with a full refund if it is not a fit.
Monthly or hourly after that
A monthly USD invoice for a full-time engineer, or hours tracked to the minute with a weekly report. Switch plans as the backlog changes, add a second engineer when there is more to build, or stop with seven days' notice.
AI automation pricing for US companies: hourly or monthly
Two ways to pay, both invoiced in USD and payable by ACH, wire or card. Monthly gives you a full-time AI automation engineer for 160 to 172 hours, billed upfront, which suits a steady backlog of workflows. Hourly suits a defined job, such as one integration or a fix to an automation someone else built, with time tracked to the minute. The AI hourly rate is higher than our standard hourly rate because the work comes in short expert bursts; the monthly rate is the same as any Empiric Infotech engagement. Platform seats and model tokens are billed to your own accounts at cost.
Hourly plan
- An AI automation engineer, exclusive to you while hours are booked
- Time tracked to the minute, with a weekly report and a short demo
- Suited to one workflow, one integration or a rescue job
- Your n8n, Make, Zapier or Workato account and your AWS or Azure from day one
- A senior team lead reviews every workflow before it runs on live data
Monthly plan
- A full-time AI automation engineer, 160 to 172 hours a month
- Standups on your Eastern-time morning and a written handover every day
- One USD invoice a month, with a W-8BEN-E on file
- 7-day risk-free trial, then seven days' notice to stop
- Run logs and approval records your auditor can export
Dedicated team
- Two or more engineers plus a senior team lead
- For automating a whole function: finance ops, rev ops or support
- Add an engineer, or a designer for an internal tool, within 48 hours
- Help with your security questionnaire and vendor onboarding
The first 90 days of AI automation with a US team
A typical first quarter, run on your morning overlap, with a written handover waiting each day.
- Week 1
Access, a workflow map and the first automation live
Least-privilege access to the systems in scope, a map of the first workflow with its volumes and exceptions, and a slice of it running on real data with an approval step and run logs. The monthly trial decision falls on day 7.
- Month 1
One workflow fully in production
The highest-volume workflow running on all traffic, its exception queue cleared daily by your team, and a dashboard of volume, straight-through rate, hours saved and model cost. Your finance or operations lead signs off the thresholds.
- Month 2
The next two workflows and the evidence trail
Two more workflows from the backlog, one internal screen for approvals, and the logs and change history packaged so a SOC 2 or HIPAA review can see who changed what, and when.
- Month 3
Reliability and cost
Retries, idempotency and alerts tuned on whatever failed in the first two months, model calls moved to cheaper models where the tests allow, and next quarter's workflows ranked by hours saved.
A dedicated AI automation engineer vs an AI automation agency project, a contractor marketplace, or a US in-house hire
| Empiric Infotech (dedicated AI automation engineer) | AI automation agency (fixed-price project) | Contractor marketplace (Upwork, Fiverr) | US in-house hire | |
|---|---|---|---|---|
| Base cost | A flat monthly fee per engineer, or an hourly rate for defined work | A project fee, then change orders | An hourly rate per contractor, plus platform fees | $135,980 median pay for a US software developer (BLS, May 2025), before benefits and payroll tax |
| Tax paperwork | A W-8BEN-E from us; no 1099 reporting | Per agency | Per contractor (1099 / W-9 / per platform) | W-2 payroll |
| Security review and SOC 2 evidence | Least-privilege access, run logs and change history in every workflow | Per the statement of work | Usually yours to ask for and check | Whatever your team builds |
| Health data (HIPAA) | Model calls through a provider that signs a BAA with you; minimum necessary fields | Per agency policy | Hard to verify contractor by contractor | Your compliance program |
| After launch | The engineer who built the workflows runs and extends them | A separate support retainer | Re-hire the contractor, if they are free | Your employee, if the role stays filled |
| Time to start | 48 hours | Weeks: proposal, statement of work, kickoff | Days to weeks | 3 to 5 months to hire |
| Workflows and accounts | Yours from day one, in your accounts; IP assigned to you | Yours on final payment | Yours if the contract says so | Yours |
The comparison describes how each option usually works, not any one provider. Platform seats and model usage apply in every option; with us they stay on your own accounts at cost.
Working hours and US time zone overlap
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 companies use a dedicated AI automation engineer instead of a one-off agency project
Many AI automation agencies sell a project: a scoped set of workflows, a handover call and a support retainer if you want one. That works until the first vendor changes an API or a model is retired, and nobody who built the workflow is still watching it. Automations fail quietly. An invoice stops posting, a lead stops routing, and the first sign is an unhappy customer or a late close.
A dedicated engineer is paid to watch the run logs as well as to build. The person who mapped your AP process fixes it when NetSuite changes a field and adds the next workflow when operations asks for one. You could hire that person in-house, but a US software developer's median pay is $135,980 a year (BLS, May 2025) before benefits and payroll tax, the search takes months, and automation alone rarely fills a full-time role.
Working from India suits this kind of work. Your morning standup sets the day's priorities, the engineer builds and tests while your team is offline, and a written handover is waiting when you start. You own every workflow, prompt and account from day one, the invoice is one USD bill a month, and you can stop with seven days' notice.
Recent AI, automation, and product work
EndoDNA: an AI health assistant for US clinics
A HIPAA-compliant, multi-tenant platform that brings lab results, genetic data and an AI assistant into one workspace for each clinic. Clinicians query labs, DNA and history in plain language, and answers stream back in real time. Built by a single dedicated developer from Empiric Infotech.
Read case studyBizBoost: Google Business Profile automation
Scheduled posts, AI-written review replies and image captions generated with Gemini, all routed through an approval dashboard before anything is published. Google Pub/Sub notifications with a polling fallback, so no review is missed, and queue-based processing that blocks duplicates.
Read case studyTherapyCue: clinical notes written automatically
Live session transcription with automatic failover between providers, AI suggestions during the session and structured SOAP notes generated afterwards. A HIPAA-compliant platform with a BAA acceptance workflow and audit tracking.
Read case studySuperintelligence: an AI assistant product
A natural-language assistant for writing, study, health and business questions, with subscriptions, saved history and an incognito mode that keeps questions out of history. Built on OpenAI with Next.js, Node.js and Flutter.
Read case studyTell us which workflow costs your team the most hours
Send the process, the systems it touches and a rough weekly volume. Within 24 hours you get a written scope with the first workflows to automate, the approval points and an estimate on both plans. Your engineer can start within 48 hours on Eastern-time overlap.
Who This Is For
Built for Teams with More
Complexity Than Capacity
We work with founders, operators, and specialists who’ve outgrown quick fixes and cookie-cutter tools and are ready for custom AI systems that match how their business actually runs.
This Is for You If:
Your processes span tools, teams, and steps no template can handle
You’ve used Zapier, Make, or Airtable - but hit limits in logic or scale
You’re still relying on spreadsheets, checklists, or forms to move work
You need AI that can think through conditions, not just react to triggers
You’re ready to treat automation as infrastructure - not an add-on
You’re tired of duct-taping workflows together with siloed tools that don’t scale
What We Do
We Design Intelligent
Systems That Think
in Workflows, Not Tasks
We don’t patch together zaps or bots. We engineer custom AI-powered automation - built around your exact business logic, tech stack, and goals. No templates. No shortcuts. Just deeply integrated systems that work like your team would - only faster.
What We Build:
Autonomous workflows powered by AI agents
Dynamic, multi-step logic that adapts to changing conditions
Integrations across tools, teams, and decision layers
Secure, scalable systems designed for long-term reliability
Full-stack implementation - from workflow design to deployment
Platforms & Tools We Work With:
We’re platform-agnostic - if it can be automated, we’ll make it happen.
Core Capabilities
End-to-End Workflow Automation
Design complex, multi-step automations that connect your tools, teams, and logic - from CRMs and ERPs to payments and internal ops.
Built with: n8n, Make, Zapier, and custom API orchestration
AI-Powered Agents & Autonomous Ops
Deploy task-specific AI agents that qualify leads, follow up on emails, manage scheduling, or triage support - working continuously, not reactively.
Powered by: Chat-GPT, LangChain, OpenAI, Gemini
Intelligent Document & Data Pipelines
Extract meaning and action from PDFs, invoices, forms, and email - then tag, route, and store with zero manual effort.
Tech behind the scenes: OCR, LLMs, vector search, Pinecone
Conversational Interfaces & Voice Automation
Create AI-first chat and voice experiences - from smart WhatsApp agents to voice-driven IVRs that solve real issues, not just route calls.
Built using: Twilio, Vapi, Retell AI, Telegram, OpenAI
Decision-Ready BI, Enhanced by AI
Layer ChatGPT-powered summaries, alerts, and context on top of dashboards - so stakeholders don’t just see data, they understand what matters.
Integrated into: Notion, Data Studio, PowerBI, and more
How We Build Systems That Scal
A Collaborative Process,
Built Around Your Operations
We don’t plug in automation - we architect it. Our process is designed to uncover the right opportunities, validate fast, and build for long-term impact.
Discovery & Opportunity Mapping
We dive into your current workflows, tools, and pain points - uncovering where AI and automation can deliver the highest leverage.
Outcome: ROI-backed roadmap aligned to business goals
Stack Planning & System Design
We architect a flexible system blueprint using best-fit tools, agents, and logic tailored to your use case not our preferences.
Outcome: Future-proof design, vendor-agnostic architecture
Prototype & Validate
We ship a focused v1 of your highest-priority use case - proving value, aligning with teams, and iterating fast.
Outcome: Early success and stakeholder buy-in
Full Development & Integration
From back-end logic to front-end touchpoints, we develop the full automation system and integrate it into your operational stack.
Outcome: Live, tested, and reliable automation running in production
Onboarding & Enablement
We train your team to manage, monitor, and evolve the system - no black boxes, no hand-holding required.
Outcome: Internal ownership and confidence
Optimization & Continuous Improvement
We track performance, gather feedback, and iterate as your operations evolve - turning your automation into a long-term advantage.
Outcome: Adaptive system that grows with your business
Industries We Build For
Built for Complexity - Across Sectors
From fast-scaling startups to process-heavy enterprises, we help teams automate intelligently across high-stakes operations.
Industries We Serve:
SaaS & Startups
GTM ops, onboarding, support
E-commerce
Order flows, inventory sync, returns
HR & Recruitment
Screening, ATS syncing, onboarding
Healthcare Admin
Scheduling, compliance workflows, patient intake
Logistics & Ops
Dispatch automation, inventory routing
EdTech
Testing, grading, learner onboarding
If your operations feel too complex for templates, you're in the right place.
Why Empiric Infotech
What Sets Empiric Infotech Apart
We build intelligent systems that match how your business actually works.
Our Approach:
ChatGPT-native automation
From decision logic to natural interfaces, built with AI at the core
100% custom workflows
No templates or shortcuts. Solutions are tailored to your operations.
Privacy-first
GDPR-ready, self-hosted options, secure by default architecture
Fast validation
Build-first mindset with pilot-ready delivery in weeks, not months
Founder-led communication
Direct access to decision makers - no handoffs, no corporate fluff
Post-launch partnership
Ongoing iteration, insights, and evolution as your business grows
Tools We Work With
Tool-Agnostic. Value-Aligned. Built to Last.
We work across the most powerful AI, automation, and backend platforms - but design the stack around your goals, not ours.
Our Approach:
AI & Language Models
Automation Platforms
AI Frameworks
Voice & Communication
Backend & Database
OpenAI
Claude
Gemini
Mistral
Meta LLaMA
Prefer open-source, enterprise-grade, or hybrid? We’ll build with what fits best.
Why Businesses Choose Empiric Infotech LLP?
Working with Empiric Infotech has been exceptional from start to finish. Their team is incredibly talented, highly responsive, and consistently delivers at a world-class level across UI/UX and back-end development. No matter the challenge or complexity we have brought to them, they have always found a solution. Having a development partner you can fully trust is invaluable, and I would highly recommend them to any company or founder looking for an elite development team.
Founder and CEO Roamate
We worked with Empiric Infotech to build a chatbot for our children’s theater project, and we’re so glad we did. The team was fast, responsive, and kept working until everything was perfect. The project was delivered on time, within budget, and the end result looks and works great. We’re truly grateful for their support
E-commerce Brand
I found in Empiric Infotech an excellent partner to build my blockchain platform. They are professional, knowledgeable, and supportive at every stage. Even after launch, we keep collaborating - and the results have always been wonderful
Founder Winupdraws
I was looking for a skilled software team to help me transform my prototype into a complete app. Empiric Infotech not only delivered exactly what I needed, but also added custom features, backend notifications, and guided me through publishing on both app stores. Their communication was smooth and reliable. I can gladly recommend them.
Founder and consultant at tak innovation
We needed support to strengthen our technical platform, and Empiric Infotech delivered exactly what we were looking for. The team was professional, responsive, and kept everything on track with both time and cost. As our company grows, we’re glad to have them as a trusted partner and would happily recommend their services.
Founder Skapasaga
Finding the right agency for our My Ayur app was challenging, but Empiric Infotech delivered exactly what we needed. Over past months, their expertise in FlutterFlow and MongoDB stood out, consistently delivering high-quality work. Professional, friendly, and reliable - a partner I would confidently recommend.
Founder and CEO Sresht Ayur
Working with Empiric Infotech has been exceptional from start to finish. Their team is incredibly talented, highly responsive, and consistently delivers at a world-class level across UI/UX and back-end development. No matter the challenge or complexity we have brought to them, they have always found a solution. Having a development partner you can fully trust is invaluable, and I would highly recommend them to any company or founder looking for an elite development team.
Charli SharpFounder and CEO Roamate
We worked with Empiric Infotech to build a chatbot for our children’s theater project, and we’re so glad we did. The team was fast, responsive, and kept working until everything was perfect. The project was delivered on time, within budget, and the end result looks and works great. We’re truly grateful for their support
Eva MesmanE-commerce Brand
I found in Empiric Infotech an excellent partner to build my blockchain platform. They are professional, knowledgeable, and supportive at every stage. Even after launch, we keep collaborating - and the results have always been wonderful
John FelipeFounder Winupdraws
I was looking for a skilled software team to help me transform my prototype into a complete app. Empiric Infotech not only delivered exactly what I needed, but also added custom features, backend notifications, and guided me through publishing on both app stores. Their communication was smooth and reliable. I can gladly recommend them.
Andrzej KarelFounder and consultant at tak innovation
We needed support to strengthen our technical platform, and Empiric Infotech delivered exactly what we were looking for. The team was professional, responsive, and kept everything on track with both time and cost. As our company grows, we’re glad to have them as a trusted partner and would happily recommend their services.
Fredrik HagenFounder Skapasaga
Finding the right agency for our My Ayur app was challenging, but Empiric Infotech delivered exactly what we needed. Over past months, their expertise in FlutterFlow and MongoDB stood out, consistently delivering high-quality work. Professional, friendly, and reliable - a partner I would confidently recommend.
Eshu MiddhaFounder and CEO Sresht Ayur
Compliance & Security
Automation Without Compromising Privacy or Control
What We Deliver:
GDPR-compliant data flows
Role-based access controls (RBAC)
Self-hosting available for all core services
Audit logging + data retention governance
Built for teams who need automation - but can’t afford risk.
Let’s Build the Smart System Your
Business Deserves
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
It finds the repetitive work your team does by hand and builds software that does it, with an AI model handling the reading, sorting and drafting. Empiric Infotech does this through a remote dedicated engineer who works in your own accounts: invoices into QuickBooks or NetSuite, leads routed in Salesforce or HubSpot, tickets triaged in Zendesk. A person approves anything that moves money or changes a customer record, and a senior team lead reviews every workflow before it runs on live data.
You choose between a flat monthly fee for a full-time engineer (160 to 172 hours) and an hourly rate for a defined job, both in USD. Current rates are in the pricing section above. For comparison, a US software developer's median pay is $135,980 a year (BLS, May 2025) before benefits and payroll tax. Platform seats and model tokens are billed to your own accounts at cost.
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 overlap from 8:00 to 9:00 AM CT. Mountain and West Coast teams run their standup with the project manager and work from a written handover that is waiting each morning.
One invoice a month in USD, paid by ACH, wire or card, and we provide a completed W-8BEN-E for your accounts team. Hourly work is invoiced the same way with a time report attached. It is a vendor engagement, so there is no payroll tax, no benefits and no 1099 reporting on your side.
Yes. Each workflow runs on least-privilege service accounts, logs every run with the model's output and the person who approved it, and keeps its change history in Git, which is the evidence a SOC 2 auditor tests. For PHI, we build to HIPAA and work inside your BAA: model calls go through a provider that signs one with you, and only the fields a step needs are sent. The audit and the report stay yours.
The ones you already pay for. QuickBooks Online, NetSuite and Bill.com for finance; Salesforce and HubSpot for sales; Zendesk, Intercom and Front for support; Slack, Microsoft Teams, Google Workspace, Microsoft 365, DocuSign and Stripe; plus your own databases and internal APIs. We build on n8n, Make, Zapier or Workato when a workflow platform fits, and in Python or Node.js when the logic, volume or cost calls for code.
A first slice usually runs on real data in the first week, and the full workflow is in production within the first month. Your engineer starts within 48 hours, maps the process in the first days and runs it on a share of real traffic with an approval step before it takes the full volume. Long processes are split into stages, so part of the time saving arrives early.
Yes. The first days go on reading the existing workflows, getting access to the accounts they run in and listing what breaks and why. You get a short written note on the fragile parts, such as missing retries, hard-coded credentials or steps with no logging, and the engineer fixes those before building anything new.
You do, fully. The NDA and IP assignment are signed before work starts, and everything is built in your own workflow platform account, your cloud and your model provider account. If the engagement ends, the workflows keep running and nothing has to be moved.
Yes. EndoDNA, a HIPAA-compliant platform for US clinics with an AI assistant, was built by a single dedicated developer, and Superintelligence, a US AI assistant product, by a two-developer team. In Canada we built BizBoost, which automates Google Business Profile posts and review replies behind an approval step, and TherapyCue, which writes clinical notes from live sessions. Typical US engagements run 6 to 18 months.
GET A QUOTE NOW
Tell us the manual work eating your team's hours and the systems involved, and we'll send back the automations we'd build first and an estimate for both hourly and monthly billing.
