Autonomous AI agents that handle real work end-to-end - reasoning, acting, escalating.
AI Agent Development For UK and European Teams A Remote Dedicated Developer
A remote developer who builds AI agents that work in your systems and your customers' languages: answering in German or French, updating HubSpot or Pipedrive, checking orders in your ERP. GDPR and EU AI Act duties designed in, a DPA before any access, and five to seven hours of overlap a day.
AI Agents From Empiric Infotech LLP
Empiric Infotech LLP provides AI agent development for companies in the UK, Ireland, Germany, the Netherlands, France, Spain and the Nordics. A remote dedicated developer builds agentic AI that does real work: a customer service agent that checks an order in your ERP and answers in the customer's language, an operations agent that reads supplier emails and updates delivery dates, a sales agent that researches accounts and prepares records in HubSpot or Pipedrive. European agents carry duties a US template ignores. Under GDPR, an agent needs a lawful basis for the personal data it reads, a retention rule for what it remembers, and human involvement in decisions with legal or similarly significant effects. Under the EU AI Act, people must be told when they are dealing with an AI system, and some uses, such as recruitment or creditworthiness checks, count as high-risk. We design for this from the first week. We act as your processor under a DPA with Standard Contractual Clauses for EU data and the UK Addendum for UK data, the agent runs in your own cloud in an EU or UK region, model calls can stay on EU-hosted endpoints, and every tool call is logged. Your developer overlaps five to six hours of a UK day and six to seven of a Central European one, so design reviews and eval walkthroughs happen live, and a senior team lead reviews and tests every release. Our European work includes Nutrinova, an AI nutrition app for a Swiss company that turns photos, voice notes and text into meal logs, with coaching after each meal.
What AI agent development delivers for UK and European teams
Agents that act in your European stack, speak your customers' languages and leave a record your DPO can follow.
Customer service agents in several languages
An agent that reads a message in English, German, French, Dutch or Spanish, looks up the order or account, applies your policy and replies in the same language, handing over to a person with a summary when it is unsure. Each language has its own eval set, because accuracy in English says little about accuracy in Dutch.
Operations and finance agents
Agents that read supplier emails and update delivery dates in your ERP, match invoices to orders in Xero, Exact or DATEV, or prepare month-end reconciliations for a person to approve. They draft, check and queue; people approve anything that moves money.
GDPR designed into the agent
The agent sees only the personal data its task needs, keeps memory under a retention rule, and can find and delete a person's data when an access or erasure request arrives. Each agent gets a data map and an entry for your record of processing, and a DPIA can draw on both.
EU AI Act transparency and oversight
Customers are told when they are talking to an AI agent, AI-generated text is labelled where your policy requires, and decisions that significantly affect a person go to a human with the agent's reasoning attached. Uses that may count as high-risk under the Act are flagged at scoping, before anything is built.
Hosting and model calls in Europe
The agent runs in your cloud account in an EU or UK region such as Frankfurt, Dublin, Paris, Stockholm or London, or on Hetzner, OVHcloud or Scaleway. Model calls go to EU-hosted endpoints where your policy requires it, such as Azure OpenAI or Amazon Bedrock in an EU region, or Mistral.
Scoped tools and a full audit trail
Each action is a typed tool with its own credentials and limits, risky actions wait for approval, and every run logs its plan, tool calls and outcome to your observability stack in an EU region. Tools can be served over MCP so other clients reuse them under the same rules.
How a UK or European AI agent engagement starts
The DPA and a design first, then an agent working on real cases in the first week, inside your working hours.
A call in your working day
Thirty minutes on UK or Central European time. You describe the job for the agent, the systems and languages involved, the personal data it would see and how you would judge success.
Design, DPA and data map
Within 24 hours: the agent's tools and permissions, where people approve, the eval plan per language, the data map, any AI Act points to check, and an estimate on both plans. The NDA, IP assignment and DPA with Standard Contractual Clauses, plus the UK Addendum covering UK data, are signed before access.
An agent on real cases, reviewed live
Your developer starts within 48 hours and has the agent working end to end on real cases by the end of the first week, then walks your team through the logs and eval scores in your afternoon. If the fit is wrong by day 7 of the monthly plan, you get a full refund.
Monthly or hourly, invoiced in EUR
One EUR invoice a month for a full-time developer, or hours tracked to the minute. VAT is handled through the reverse charge on your side, and you can stop with seven days' notice.
AI agent development pricing in EUR: hourly or monthly
Both plans are invoiced in EUR, paid by SEPA transfer, international wire or card, with VAT handled through the reverse charge. The monthly plan is a full-time AI agent developer for 160 to 172 hours, billed upfront, for an agent that will keep gaining tools, languages and use cases. The hourly plan suits a defined job, such as an eval suite, a GDPR review of an existing agent or a move to EU-hosted models. The AI hourly rate sits above our standard rate because agent work comes in short expert bursts; the monthly rate matches every other Empiric Infotech engagement. Model and platform usage stays on your own accounts at cost.
Hourly plan
- An AI agent developer, exclusive to you while hours are booked
- Time tracked to the minute, with a weekly report in EUR
- DPA with Standard Contractual Clauses before any access, plus the UK Addendum for UK clients
- Works in your EU or UK cloud region with your model keys
- Every release reviewed and tested by a senior team lead
Monthly plan
- A full-time AI agent developer, 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 eval results with every release
Dedicated team
- Two or more developers plus a senior team lead
- For agents across several languages, countries or teams
- Add a developer, or a designer for review screens, within 48 hours
- Sub-processor details and answers for your DPO and procurement
The first 90 days of an AI agent build with a UK or European team
A typical first quarter, reviewed live in your working hours rather than by message.
- Week 1
DPA, data map and a first agent on real cases
The DPA signed, scoped access in your EU or UK region, the agent running end to end on a small set of real cases in its first language, logs flowing, and a baseline eval score. The trial decision comes on day 7.
- Month 1
Live cases with approvals and disclosure
The agent handling live work behind approval gates, AI disclosure shown to customers where it applies, retention rules on its memory, and evals run on every change.
- Month 2
A second language and more tools
A second language added with its own eval set, more tools connected, fallbacks for model outages, and the data map updated for your DPO.
- Month 3
The next country or use case
Model choices re-tested on your evals, EU-hosted options included, retries checked so no action repeats, and the next country or agent planned with your team.
A dedicated AI agent developer vs a European AI agency, an agent platform, or an in-house hire
| Empiric Infotech (dedicated AI agent developer) | European AI agency (project) | Agent platform you configure | In-house hire in the UK or EU | |
|---|---|---|---|---|
| Data protection | DPA with Standard Contractual Clauses; UK Addendum for UK personal data; a data map and processing record per agent | Usually a DPA; check the sub-processors | The vendor's DPA and sub-processor list | Covered by employment contracts |
| Where it runs | Your cloud, in the EU or UK region you choose | Often the agency's environment until handover | The vendor's hosting region | Your infrastructure |
| AI Act transparency and oversight | AI disclosure and human review designed in; high-risk uses flagged at scoping | Per the statement of work | Whatever the platform supports | Whatever your team builds |
| Languages | An eval set for every language | Per agency | The platform's language support | Your team's languages |
| Overlap with your day | 5 to 7 hours live | Same time zone | Vendor support hours | Same office |
| Invoicing and VAT | One EUR invoice a month; reverse-charge VAT | Per agency terms, with local VAT | A subscription, often per seat or per run | Payroll and employer contributions |
| Time to start | 48 hours | Weeks: proposal, statement of work, kickoff | Days to sign up, weeks to integrate | Months, plus a notice period that is often one to three months |
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 build AI agents with a dedicated developer
European agents have more to get right than a demo shows: the customer's language, a lawful basis for each piece of personal data, AI disclosure, human oversight where decisions matter, and data that stays in the region your policy names. A project team can deliver all of that once. Keeping it true as the agent gains tools, languages and users is ongoing work.
A dedicated developer does that work every month. The person who built the agent knows its data map, adds the next language with its own eval set, tells the DPO when a new tool is connected and moves to a better model when the scores support it. Hiring that person in London, Berlin or Amsterdam takes months and adds employer contributions, and the engineers you want often have a notice period to serve first.
Five to seven hours of overlap make the work feel local. Design reviews, eval walkthroughs and production fixes happen live in your day. We act as your processor under a DPA with Standard Contractual Clauses (and the UK Addendum when UK data is involved), invoice in EUR with reverse-charge VAT, you own the code and model accounts from day one, and you can stop with seven days' notice.
Recent AI, product, and integration work
Nutrinova: AI coaching after every meal
Users log a meal by photo, voice note or text; computer vision and language processing turn it into a meal log, and an AI coach replies with personalised feedback. Data is encrypted and stored in Switzerland, and the app runs in three languages.
Read case studyMarketPlace Monitor: always-on listing watchers
Background monitors scan several marketplaces for each user's search terms and push an alert the moment a match appears, built to stay accurate as each marketplace changes, with a Python processing engine and six languages.
Read case studyVedu: an AI-built visual dictionary
More than 2,000 AI-generated images that make German articles memorable, audio pronunciation for 6,000 words and an interface in 13 languages, for a German client. Rated 5.0 on the app stores.
Read case studyDescribe the job you want an agent to do in Europe
Tell us the task, the systems and languages involved, and the personal data the agent would see. Within 24 hours you get a design with tools, permissions, approval points and an eval plan, a data map and an estimate on both plans. Your developer can start within 48 hours on UK or Central European hours.
Who We Help:
For Teams Who’ve Outgrown
Chatbots and Templates
We help engineering, operations, and product teams replace brittle chatbots and manual tasks with AI Agents - designed for scale, reliability, and seamless integration with your real business processes.
This Is for You If:
You're tired of generic bots that miss nuance and break under pressure
You need agents that understand your workflows and data
You're managing fragmented support, sales, or operations manually
You're looking to reduce response time, errors, and burnout
You want custom logic, fallback handling, and full control over AI behaviour

What We Do
AI Agents That Handle Real
Operations - Not Just FAQs
We build domain-specific agents that go beyond answering questions. They reason, decide, and act across workflows and channels.
What We Build:
Autonomous sales agents for inbound lead response
AI support agents for triage, follow-up, and ticket generation
Voice-enabled assistants for IVR and scheduling
Internal ops agents for reporting, data cleaning, and task automation
Multilingual, multi-channel agents (email, chat, WhatsApp, voice)
Built With:
We’re platform-agnostic - if it can be automated, we’ll make it happen.
Where AI Agents Make a Measurable Impact

Sales & Lead Response
Instant replies, qualification, calendar booking - without human delay
Built with: n8n, Make, Zapier, and custom API orchestration

Customer Support
Triage queries, update CRMs, generate tickets, escalate intelligently
Powered by: Chat-GPT, LangChain, OpenAI, Gemini

Voice IVR Agents
Smart, conversational IVRs that solve, not just redirect
Tech behind the scenes: OCR, LLMs, vector search, Pinecone

Internal Operations
Generate reports, clean data, run daily workflows on command
Built using: Twilio, Vapi, Retell AI, Telegram, OpenAI

Knowledge Retrieval
Instantly surface SOPs, docs, and product info with citations
Integrated into: Notion, Data Studio, PowerBI, and more
Our Step-by-Step Process for AI Agent Development at Scale
A Strategic Process to
Build Agents That Think Before
They Talk
Every AI agent we build is grounded in your real data, use case, and operations - not just an LLM prompt.
Industries We Build Agents For
AI Agents, Built for the Demands of Your Sector
From agile startups to regulation-heavy enterprises, our bespoke AI agents streamline complex workflows, unify disparate systems and automate repetitive tasks, tailored to the challenges and compliance needs of your sector.
Industries We Serve:

SaaS & Tech Startups
Automate GTM workflows, onboarding, CRM updates, and support escalations.

E-commerce & DTC Brands
Streamline order processing, inventory sync, customer notifications, and returns.

HR & Recruitment Teams
Simplify candidate screening, ATS syncing, and onboarding checklists.

Healthcare Admin & Support
Automate patient intake, scheduling, and compliance tracking securely.

Logistics & Operations Teams
Route orders, sync inventory, trigger dispatch workflows - all in real time.

EdTech Platforms
Automate testing, grading, learner onboarding, and progress updates.
If your operations feel too complex for templates, you're in the right place.
Why Empiric Infotech for AI Agents
More Than Chatbots - We Build Thinking Systems
We don’t do off-the-shelf bots or one-size-fits-all workflows. Instead, we architect bespoke, scalable AI agents that integrate deeply with your existing operations and evolve alongside your business.
What Sets Us Apart:

Deeply Integrated with Your Operations
We architect AI agents that connect to your databases, APIs, and legacy systems-no generic, one-size-fits-all logic.

Privacy-First, Self-Hosted Options
Custom AI agents built to your security standards-GDPR-compliant and deployable on your infrastructure.

Stateful Agents with Robust Fallbacks
Agents retain context, handle errors gracefully, and expose full observability so you always know what’s happening.

Rapid v1 Builds & Real-World Testing
We deliver working prototypes fast, validate them with live data, and iterate to maximize ROI and stakeholder buy-in.

Full Ownership of Logic & Data
You get the complete code, configurations, and datasets-no black boxes, no vendor lock-in, just transparent AI.

Continuous Learning & Optimization
Agents continually learn from interactions and feedback, adapting their behavior to improve accuracy and performance over time.
Tools We Integrate - Built Around Your Stack, Not Ours
Agnostic. Conversation-First Aligned to Your Stack.
We architect AI agents as the central intelligence in your ecosystem, plugging into your existing data sources, APIs, and workflows. Open-source models, enterprise platforms or a hybrid stack: our solutions adapt to your tech environment and deliver one unified, scalable system built around the tools you already use.
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
AI Agents Without Compromising Privacy or Control
What We Deliver:

GDPR-compliant conversational and data workflows

Role-based access controls (RBAC) for sensitive interactions

Self-hosting options for all LLMs, vector stores, and agents

Full audit trails, logging, and data retention policies
Built for teams that need smart agents - and strict compliance.
Let’s Build the Smart System Your
Business Deserves
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
An AI agent decides the next step and acts through tools, such as checking an order in your ERP and arranging a replacement, while a chatbot answers questions. Empiric Infotech builds agents through a remote dedicated developer who works in your own repository and EU or UK cloud, with scoped tools, approval steps and evals on every release.
A flat monthly fee in EUR for a full-time developer (160 to 172 hours), or an hourly rate for a defined job such as an eval suite or a GDPR review of an existing agent. Current rates are in the pricing section above. As a vendor engagement there are no employer social contributions, no pension costs and no notice period beyond seven days.
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 DPA with Standard Contractual Clauses before any access and act as your processor. EU data is transferred under the EU Standard Contractual Clauses, and UK data under the UK Addendum. Agents read only the personal data their task needs, keep memory under a retention rule, can fulfil access and erasure requests, and send decisions with legal or similarly significant effects to a person. Each agent gets a data map for your records.
We design for it at scoping. Customers are told when they are dealing with an AI agent, AI-generated content is labelled where your policy requires, human oversight is built into consequential decisions, and uses that may count as high-risk, such as recruitment or credit decisions, are flagged early so your legal team can assess them.
Yes. The agent runs in your own cloud account in an EU or UK region, and model calls can go to EU-hosted endpoints such as Azure OpenAI or Amazon Bedrock in an EU region, or to Mistral. Logs and memory stay in the same region, in accounts you own.
Yes. The agent detects the language, works in it and answers in it, and each language gets its own eval set, so quality is measured rather than assumed. Vedu, for a German client, runs in 13 interface languages, and Nutrinova in three.
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.
Yes. The first week goes on reading the code and prompts, running the agent against a fresh eval set and mapping the personal data it touches. You get a written list of risks, such as tools with broad access or missing retention rules, before we change anything.
Yes. Nutrinova, an AI nutrition app for a Swiss company, was built by a three-developer team; Vedu, an AI-powered language app for a German client, by two developers; and MarketPlace Monitor, a real-time monitoring product for UK resellers, by four. European engagements typically run 6 to 24 months.
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