For companies with 250+ employees
We design, integrate and run AI agents inside the ERP, CRM and core systems of large companies. Every rollout starts from a business case, works within your security rules and is measured against numbers agreed upfront.
A working session with a solution architect, under NDA on request
In a company of a thousand people, a few minutes of manual work per task becomes tens of thousands of hours a year. Orders are re-keyed between regional systems, invoices are matched line by line at month end, enquiries wait in shared inboxes, and management sees last month's numbers. Headcount grows with volume, even though much of this work could be done by a system.
Every new market, product line or client segment adds people who process the same documents and data by hand.
ERP, CRM and regional tools each hold part of the truth. People reconcile them in spreadsheets, and the errors surface in audits.
Reports are assembled by hand from several systems, so by the time they reach management the numbers are out of date.
Your numbers
Set the sliders for your organisation. Nothing is sent anywhere: the calculation runs in your browser.
110 400hours a year
€5 299 200a year on manual work
60.0full-time equivalents
Your estimate, 46 working weeks a year. Which share agents can take over, and at what cost, we model in the business case.
Discuss these numbersThe AI journey
In a large organisation, departments are often at different stages. Find yours: the line on the left of the page follows you down to the sixth.
There is a CRM, an ERP and email, but each is an island. People are the glue between them.
We are hereSystems exchange data through integrations. Entered once, visible everywhere it is needed.
We are hereRules run the predictable routine: reminders, syncs, reports on a schedule.
We are hereAgents run the routine in every department, 24/7. The team spends its time on clients and decisions.
We are hereWhat we deliver
Product engineering, systems integration and AI from one accountable team. No hand-offs between vendors: new services work with your data, and agents run inside the systems your people already use.
Customer and partner portals, mobile apps and internal platforms engineered for scale, security reviews and long-term ownership by your IT.
We connect ERP, CRM, contact centre, supply chain and data warehouse, so an order, an invoice or a stock level is entered once and trusted everywhere.
We find where AI moves a business metric, build agents into your systems and run them with monitoring, an audit trail and human approval where it matters.
A day with agents
A few moments from a large company's day. Your scenarios will be your own; we work them out in the briefing.
Overnight orders from six countries are already validated, booked in the ERP and passed to the warehouses. Exceptions wait in one queue.
The executive summary is ready: revenue by region, open risks and where processes got stuck over the weekend.
Finance opens the close checklist and 4,000 supplier invoices are already matched, with mismatches routed to their owners.
A regional director asks how margins moved this quarter and gets an answer drawn from all your systems, with sources.
AI agent at work, demo
Processing time 0 sBy hand: about 25 minutes (example)
I want an agent like thisTwo clocks
That was one request. Here are five enterprise workloads side by side. Scroll, and time runs from seconds to days.
First reply to a B2B enquiry
Order booked in the ERP
Match 4,000 supplier invoices
Weekly management report
Shortlist from 1,500 applications
Example values: real times depend on your processes and systems. We measure yours before and after the pilot.
AI in every department
An agent is a software employee with a clear role. It works in your systems by your rules and leaves the decisions that need accountability to people.
Answers typical requests, clarifies the task and budget, drafts a quote and suggests a meeting time.
Closes typical questions from the knowledge base and hands complex cases to a person with a summary of the conversation.
Reads invoices and delivery notes, matches them with the ERP and prepares overdue payment reminders for approval.
Sorts applications and prepares a shortlist with explanations. The recruiter decides on every candidate.
Checks contracts against your checklist and highlights risky clauses for the lawyer. Assembles documents from templates.
Forecasts stock, prepares purchase orders for approval and keeps an eye on delivery dates.
Combines ad and CRM data, shows which channels bring clients and drafts content.
Pulls numbers from every system and answers questions about the business in plain language.
How we work
We start where the value is clearest, prove it in production on your data and scale only what pays off.
Executive briefing: a working session with a solution architect and a clear view of where to start.
Request a briefingWe interview process owners, map your landscape and build a business case with the expected effect of each scenario.If the use case is already defined, we go straight to the pilot.
We launch one solution in production on your real data and measure the numbers before and after.
We scale across departments and countries, integrate the systems and train your teams.
We monitor quality, retrain agents and add scenarios under an SLA.
Engagement models
The first step is a briefing with a solution architect. Then you choose the engagement that fits your organisation.
We find where AI and integration pay off fastest across your organisation and model the effect in hours and euros.
One solution live on your data. Before the start, we agree on the metric the result will be judged by.
An embedded team of analysts, designers, engineers and ML specialists working on your roadmap, without hiring.
We quote cost and timeline after discovery: every landscape is different
Technology and data
We integrate with your existing platforms instead of replacing them, and choose models to fit the task, the budget and your data policies.
Can run in your infrastructure or in EU data centres
For your CIO, CISO and data protection officer: where the models run, how agents are governed and what we sign before the start.
We deploy models and knowledge bases inside your infrastructure. The data never leaves the company.
For tasks that do not need your own servers: models in EU regions, data processed in the European Union.
Connected only with your written approval and without personal data.
Questions
Did not find the answer? Ask it in the briefing.
We quote after discovery: the budget depends on the processes, the systems and the data volumes. You get a business case for each scenario and decide where to start.
Before the pilot we agree on the metrics with you: processing time, manual hours, error rate or cost per transaction. We measure them on your data before and after, and scale only what pays off.
Yes. We sign NDAs and data processing agreements, answer security questionnaires and provide the documentation your IT, security and legal teams need.
Rights to the code, the agent settings and the knowledge bases are set out in the contract before work starts.
Models can run in your infrastructure or in EU data centres. We sign a Data Processing Agreement under GDPR, assess each use case against the EU AI Act, and agents that talk to people say that they are AI. More in the security section.
No. We connect to what already works, including legacy systems: through APIs, events or, where nothing else exists, secure automation of the user interface.
Agents work with checks and confidence thresholds. Unclear cases go to a person, and every action is recorded in an audit log.
If you need it: operations under an SLA, quality monitoring and new scenarios. Terms are agreed per project.
Eastern Digital Services s.r.o. is registered in Slovakia, and the team works remotely across Europe. We work in English, French and Russian.
Executive briefing
Tell us which processes cost your organisation the most time. A solution architect will walk through them with you, show what agents can take over and outline a business case.