Finding internal information
Today
Information scattered across folders and inboxes; people search for ages or keep asking the same colleagues.
With AI
An assistant finds and summarises the right information, using only authorised documents.
Services
Put AI to work where it creates real value.
We identify the most useful use cases, integrate them into your tools and take them into production alongside your teams.
THEY TRUSTED US WITH THEIR PROJECTS
LVMH
Richemont
Shiseido
E.Leclerc
TPG
Volvo
ENI
IFRC
Aéroport de Paris
SIG
Givaudan+36
Where AI can genuinely help
Situations you will probably recognise.
A few common examples in SMEs and mid-sized companies. Every context is different: the real value is always checked against your own processes and data.
Admin and data entry
Today
Copy-pasting, re-keying between systems, manual handling of invoices, delivery notes or forms.
With AI
Automated extraction, filing and pre-filling, with human validation where it matters.
Sales follow-up
Today
Meeting preparation, call notes, proposals and reminders all done by hand.
With AI
An assistant prepares meetings, summarises conversations and keeps follow-up on track in your CRM.
Support and customer service
Today
Manual triage of requests and repetitive answers to the same questions.
With AI
Classification, summaries, draft replies and routing to the right person.
Reporting and steering
Today
Manually gathering figures from several sources before every meeting.
With AI
Data consolidated and summaries prepared automatically, ready to review.
Business processes
Today
Several applications and manual steps to move work from one to the next.
With AI
Agents or automations orchestrate the steps and tools, under your control.
From idea to production
A simple method, in four steps.
« We don't start by choosing an AI. We start by choosing the right problem. »
- 01
Understand
Understand your processes, your tools and where your teams lose time or capacity.
- 02
Prioritise
Compare opportunities by impact, feasibility, cost and risk.
- 03
Build & integrate
Prototype, then connect the solution to the tools and data that matter.
- 04
Measure & scale
Measure adoption and gains before scaling what works.
Already have an idea? Or none at all?
Either way, we can start from a concrete process and quickly determine whether AI is really worth using there.
Connected to your tools
Not one more tool. AI plugged into your environment.
Value appears when AI can access the right information and act inside the software your teams already use. We design that layer between your tools and your processes.
Your tools
- CRM
- ERP
- Documents
- Databases
- Business apps
AI · Agent · Automation
Rules, access rights, validation
Your teams and processes
- Sourced answer
- Task created
- Pre-filled document
- Summary ready
We work in particular with environments our clients already run: SAP, Microsoft Dynamics 365, Microsoft 365, CRMs, business applications and APIs. SAP · MD365 · Mind
What we can put in place
Concrete uses, not a technology catalogue.
Business AI agents
To chain repetitive steps of a process, with clear rules and human oversight.
Document assistants
So everyone finds the procedure, contract or answer they need in seconds.
Admin automation
To cut re-keying and free time from low-value tasks.
Sales assistants
To prepare meetings, write call notes and never miss a follow-up.
Document processing
To extract and file information from invoices, notes, contracts or forms.
AI inside your CRM, ERP and software
So AI works where your data lives, without switching tools.
Team training
For useful everyday practice: asking well, checking results, protecting data.
Governance and usage rules
To frame the tools already in use and decide calmly what is allowed.
Data, governance and compliance
Putting AI into production also means deciding which data it may use, where that data travels and who can access it.
Choosing a solution depends as much on your data as on the technology. We include these criteria from the scoping stage, and work with your legal advisers when needed.
- The data actually used
- How sensitive it is
- Who has access to what
- Where it is hosted and processed
- Swiss data protection law (nFADP)
- Where relevant, the EU AI Act
Why Eukleia
We don't stop at recommendations.
Over 20 years of information-system projects for SMEs, mid-sized companies and large groups: we know what it takes for a solution to actually work inside an organisation.
Business understanding
We start from your processes and constraints, not from a technology to sell.
Independent advice
We resell no licences: our recommendations stay aligned with your interests.
Integration with what you have
Proven experience with ERPs (SAP, MD365) and business software.
Development capability
We design and deliver custom software, such as our Mind offer.
Production roll-out
Configuration, connections, follow-up: the solution gets used, not just demoed.
Team support
Training and adjustments so new practices last.
Some organisations that have trusted us with information-system projects.
LVMHRichemontShiseidoE.LeclercTPGVolvoENIIFRCAéroport de ParisSIGGivaudan+36
Performance Scan
Not ready for a call yet? Our free Performance Scan gives you a first overview of your tools, security and automation opportunities.
FAQ
Your questions about AI in business.
Where should a company start with AI?
With a concrete process where your teams lose time. We analyse it with you, then check whether AI is the right answer — sometimes simple automation is enough.
Which processes can AI really automate?
Mostly repetitive tasks involving text or documents: finding information, data entry, sorting requests, summaries, preparing documents. Important decisions remain validated by a person.
Do we need to replace our existing software?
No, in the vast majority of cases. The aim is to connect AI to your current tools (CRM, ERP, email, documents) rather than add yet another one.
Can AI be used with confidential data?
Often yes, provided the right solution is chosen: hosting, access rights, data-use terms. We review these points from the scoping stage, with your legal team when needed.
What is the difference between a POC and a solution in production?
A POC shows an idea works on a sample. A production solution is integrated into your tools, secured, used daily and monitored over time. That second step is what we aim for.
How long does it take to launch a first use case?
It depends on the process and the data available. We favour short, well-scoped first use cases to measure value quickly before going further.
Do you work with our existing tools?
Yes. We start from your environment — ERP, CRM, Microsoft 365, business software — and adapt the solution to what your teams already use.
Do you also train teams?
Yes. We train your teams on useful practices for their job, on checking results and on good data-protection habits.
Let's start from a concrete process.
In a few conversations, we can identify where AI makes sense, what it can genuinely improve and the simplest way to get started.