Designed to fit your operations - not replace them.
AI Automation Agency For UK and European Teams A Remote Dedicated Developer
A remote AI automation engineer for UK and European teams, working five to seven hours inside your day: supplier invoices into Xero, DATEV or Exact, support triaged in your customers' languages, e-invoices read straight into your ERP. GDPR built into each workflow, a DPA signed before any access, and invoices in EUR.
AI Automation From Empiric Infotech LLP
Empiric Infotech LLP works as an AI automation agency for companies in the UK, Ireland, Germany, the Netherlands, France, Spain and the Nordics. Instead of a project that ends at handover, you get a remote AI automation engineer who stays on your workflows: monthly for a steady backlog, hourly for a defined job. The overlap is long, five to six hours of a UK working day and six to seven of a Central European one, so process walkthroughs, edge-case reviews and same-day fixes happen live. European automation has its own details. Supplier invoices arrive as PDFs in several languages and, more and more often, as structured e-invoices in Peppol, XRechnung, ZUGFeRD or Factur-X. VAT treatment depends on the country and on whether the customer is a business. Any workflow that touches personal data needs a lawful basis, a retention rule and an entry your DPO can read. We act as your processor under a DPA with Standard Contractual Clauses for EU data and the UK Addendum for UK data, run every workflow inside your own accounts in the EU or UK cloud region you choose, and keep a person in the loop for decisions that significantly affect someone. A senior team lead reviews and tests each workflow before it touches live data. Our European references include MarketPlace Monitor, a real-time monitoring and alerting product for UK resellers built by a four-developer team, and Vedu, an AI-powered language app for a German client.
What our AI automation agency delivers for UK and European teams
Automations built for how European businesses actually run: several languages, several VAT regimes, and personal data handled under GDPR.
Supplier invoices and e-invoicing
PDF invoices read in English, German, French, Dutch or Spanish, matched to purchase orders and posted to Xero, Sage, DATEV, Exact or your ERP with the right VAT code. Structured e-invoices in Peppol, XRechnung, ZUGFeRD or Factur-X are parsed directly instead of re-keyed, which matters as more EU countries make them mandatory between businesses.
Multilingual support and operations
Inbound email and tickets detected by language, classified, routed to the right team and answered with a first draft in the customer's own language, grounded in your help center. Your agents review and send. Separate checks per language catch the cases where a model gets a policy wrong in translation.
GDPR in every workflow
A lawful basis recorded for each data flow, personal data reduced before it reaches a model, retention rules that delete what a workflow no longer needs, and subject access or erasure requests handled end to end with a log of what was found. Every automation gets an entry in your record of processing.
Human review where GDPR and the AI Act expect it
Decisions that significantly affect a person, such as credit, hiring or closing an account, stop for a human with the model's reasoning shown alongside. Where a workflow sends AI-written text to customers, it is disclosed in line with your policy and the EU AI Act's transparency duties.
Data kept in the EU or UK
Workflows run in your own cloud account in an EU or UK region such as Frankfurt, Dublin, Paris or London, or on Hetzner or OVHcloud if you self-host n8n. Model calls go to EU-hosted endpoints, such as Azure OpenAI or Amazon Bedrock in an EU region, or Mistral, when your data policy requires it.
Changes shipped inside your working day
With five to seven hours of overlap, a change can go live while your team is online to watch the first runs, and a problem reported in your morning is usually fixed the same day. In Germany, where a works council may need to review tools that can monitor staff, you get a plain description of what each automation processes.
How a UK or European AI automation engagement starts
Paperwork first, then a workflow live in your first week, all inside your working hours.
A call in your morning
Thirty minutes on UK or Central European time. You show us the processes that take the most hours, the systems involved, the languages they run in and any data that is sensitive, such as HR or health records.
Scope, DPA and data map
Within 24 hours: the first workflows to automate, the platform or code for each, the approval points, an estimate on both plans, and a data map of the personal data each step touches. The NDA, IP assignment and DPA with Standard Contractual Clauses, plus the UK Addendum for UK clients, are signed before anyone gets access.
A first workflow, watched live
Your engineer starts within 48 hours and runs the first workflow on a slice of real data while your team watches the early runs. Day 7 of the monthly plan is the point to decide, with a full refund if the engineer is not a fit.
Monthly or hourly, invoiced in EUR
One EUR invoice a month for a full-time engineer, or hours tracked to the minute with a weekly report. Empiric Infotech LLP invoices from India, so VAT is handled through the reverse charge on your side. Stop with seven days' notice.
AI automation pricing in EUR: hourly or monthly
Both plans are invoiced in EUR and paid by SEPA transfer, international wire or card, with VAT handled through the reverse charge. The monthly plan is a full-time AI automation engineer for 160 to 172 hours, billed upfront, for a steady backlog. The hourly plan covers a defined job, such as one integration or an audit of workflows someone else built. The AI hourly rate sits above our standard rate because the work comes in short expert bursts; the monthly rate matches every other Empiric Infotech engagement. Platform seats and model usage stay on 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 in EUR
- DPA with Standard Contractual Clauses and the UK Addendum signed before any access
- Works inside your EU or UK cloud and your workflow platform account
- Every workflow reviewed by a senior team lead before go-live
Monthly plan
- A full-time AI automation engineer, 160 to 172 hours a month
- Five to seven hours a day inside your working hours
- One EUR invoice a month, reverse-charge VAT
- 7-day risk-free trial, then seven days' notice to stop
- A data map and processing-record entry for every workflow
Dedicated team
- Two or more engineers plus a senior team lead
- For automating finance, support or operations across countries
- Add an engineer, or a designer for an internal tool, within 48 hours
- Sub-processor details and security answers for your DPO and procurement
The first 90 days of AI automation with a UK or European team
A typical first quarter. With a long shared day, most reviews happen live rather than by message.
- Week 1
DPA, access and a first workflow on real data
The DPA signed, least-privilege access granted in your EU or UK region, the first workflow mapped with its languages and exceptions, and a slice of it live with an approval step and run logs. The trial decision comes on day 7.
- Month 1
One workflow in production, in every language it needs
The first workflow handling full volume, checks in place for each language, the exception queue worked daily by your team, and a dashboard of volume, straight-through rate and model cost. Your DPO receives the processing-record entry.
- Month 2
The next workflows, and e-invoicing
Two more workflows from the backlog, structured e-invoice formats added where your suppliers send them, and retention rules tested so personal data is deleted on schedule.
- Month 3
Rollout to the next country
The proven workflows adapted to the next country's language, VAT rules and systems, reliability tuned on what has failed so far, and the next quarter planned with your team.
A dedicated AI automation engineer vs a European automation agency, a contractor marketplace, or an in-house hire
| Empiric Infotech (dedicated AI automation engineer) | European automation agency (project) | Contractor marketplace | In-house hire in the UK or EU | |
|---|---|---|---|---|
| Data protection paperwork | DPA with Standard Contractual Clauses + UK Addendum before any access; a data map per workflow | Usually a DPA; check the sub-processors | Per contractor, often none | Covered by employment contracts |
| Where the workflows run | Your cloud account, in the EU or UK region you choose | Often the agency's own platform account | Wherever the contractor builds | Your infrastructure |
| Human review and AI Act transparency | Approval steps on decisions that affect people; AI-written messages disclosed per your policy | Per the statement of work | Usually yours to ask for | Whatever your team builds |
| Overlap with your day | 5 to 7 hours live | Same time zone | Varies by contractor | Same office |
| Invoicing and VAT | One EUR invoice a month; reverse-charge VAT | Per agency terms, with local VAT | Per contractor or per platform | Payroll and employer contributions |
| Time to start | 48 hours | Weeks: proposal, statement of work, kickoff | Days to weeks | Months, plus a notice period that is often one to three months |
| After launch | The same engineer runs and extends the workflows | A support retainer, or a new project | The contract ends | Your employee, if they stay |
The comparison describes how each option usually works, not any one provider.
Working hours and UK and European 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.
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:30 PM.Most of your working day overlaps ours - live standups, pair-coding and same-hour replies.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:30 PM.Most of your working day overlaps ours - live standups, pair-coding and same-hour replies.
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).
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).
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 UK and European teams run AI automation with a dedicated engineer
European automation work is rarely finished after one project. A supplier switches to e-invoicing, a new country brings a new language and a new VAT rule, a model is retired, and the workflow that saved your team hours every week starts to drift. An agency project ends at handover, and the drift starts after it.
A dedicated engineer stays with the workflows. The person who built your supplier-invoice flow for the UK adapts it for Germany, keeps the run logs clean and answers the DPO's questions, because they know where each field came from. Hiring that person in London, Berlin or Amsterdam takes months, adds employer contributions, and often means waiting out a notice period of one to three months.
The time difference helps. Five to seven hours of overlap means your team can walk the engineer through a messy process in the morning and see it running by the afternoon. We work as your processor under a DPA with Standard Contractual Clauses (and the UK Addendum for UK data), keep data in your chosen EU or UK region, invoice in EUR with reverse-charge VAT, and you can stop with seven days' notice.
Recent AI, automation, and product work
MarketPlace Monitor: real-time listings monitoring
Watches Facebook Marketplace, eBay, Gumtree and other marketplaces for each user's search terms and sends an instant push alert when a matching listing appears. A Python processing engine handles high-volume scraping at scale, in six languages, on tiered subscriptions.
Read case studyNutrinova: AI meal logging from photos and voice
Users log meals by photo, voice note or text; the app recognises the food, records the macros and gives AI coaching after each meal. Privacy-first, with data encrypted and stored in Switzerland, in three languages.
Read case studyVedu: AI-generated content at scale
A German-learning app with more than 2,000 AI-generated images, audio pronunciation for 6,000 words from A1 to C1, and an interface in 13 languages. Rated 5.0 on the app stores.
Read case studyShow us the process your team keys in by hand
Send the process, the systems, the languages involved and anything sensitive in the data. Within 24 hours you get a scope, a data map and an estimate on both plans. The DPA is signed before any access, and your engineer can start within 48 hours on UK or Central European hours.
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.
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?
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 automates the repetitive work your team does by hand, with an AI model reading documents and drafting replies, and rules and people handling the decisions. Empiric Infotech does this through a remote dedicated engineer who works in your own accounts and your chosen EU or UK cloud region: supplier invoices into Xero, DATEV or Exact, multilingual ticket triage, CRM updates in HubSpot or Pipedrive. A senior team lead reviews every workflow before it runs on live data.
A flat monthly fee in EUR for a full-time engineer (160 to 172 hours), or an hourly rate for a defined job. Current rates are in the pricing section above. It is a vendor engagement, so there are no employer social contributions, no pension costs and no notice period beyond seven days. Platform seats and model tokens stay on your own accounts at cost.
Five to seven hours a day. UK and Ireland teams overlap from 9:00 AM to 3:00 PM BST (to 2:00 PM GMT in winter), and Central European teams from 9:00 AM to 4:00 PM CEST (to 3:00 PM CET in winter). The project manager is available across your whole working day.
Yes. We sign a Data Processing Agreement with Standard Contractual Clauses for EU transfers and the UK Addendum for UK transfers before anyone gets access, and act as your processor. Workflows run in your own cloud account in the EU or UK region you choose, personal data is reduced before it reaches a model, and each automation gets a data map and an entry for your record of processing.
One invoice a month in EUR, paid by SEPA transfer, international wire or card. Empiric Infotech LLP invoices from India, so VAT is handled through the reverse charge on your side. Hourly work is invoiced the same way, with a time report attached.
They keep people in charge of decisions that matter and make AI use visible. Workflows that affect someone's job, credit or access stop for a human reviewer, AI-written messages to customers are disclosed in line with your policy, and every run is logged. If a use case could fall into a high-risk category, we flag it at scoping so your legal team can assess it before anything is built.
Yes. Documents and messages are detected by language and processed in it, replies are drafted in the customer's language, and each language gets its own test set, because a model that is accurate in English can still misread a German delivery note. Vedu, built for a German client, runs in 13 interface languages, and MarketPlace Monitor in six.
Xero, Sage, FreeAgent, DATEV and Exact for finance; HubSpot, Pipedrive and Salesforce for sales; Zendesk and Freshdesk for support; Personio and HiBob for HR; Microsoft 365, SharePoint, Google Workspace and Slack. We build on n8n, including self-hosted n8n on EU servers, Make or Zapier when a workflow platform fits, and in Python or Node.js when the process needs code.
You do, fully. The NDA and IP assignment are signed first, and everything runs in your own workflow platform account and your cloud, in the EU or UK region you choose. If the engagement ends, the workflows keep running where they are.
Yes. MarketPlace Monitor, a real-time monitoring product for UK resellers, was built by a four-developer team; Vedu, an AI-powered language app for a German client, by two developers; and Nutrinova, an AI nutrition app for a Swiss company, by three. European engagements typically run 6 to 24 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.
















