AI implementation that reaches production

We bring AI into production

AI ambition is the easy part. Getting it into production is the hard part. We design the roadmap, build the first agents and equip your people, so your AI gets there.

What it takes to make AI work

Most organisations are already investing in AI. The pilots run, the licences are bought, the roadmap looks good on a slide. And still, very little reaches the people doing the actual work. That is the hard part of AI implementation: turning all of that into AI that runs in production, with data that holds up, security that scales, and people who actually use it.

At Xylos we close that gap. We have spent 42 years helping organisations put technology to work where it matters most: in daily operations, in the processes that run the business, in the culture. We stay alongside our clients through the full engagement, and step back only when the software is genuinely running. Our Professional Services practice is now doing that for AI.

We offer a practical menu of Data and AI services. Cloud, on-premise, and everything in between. We work with our clients A to Z.

Adoption and awareness: training, workshops and change management.

Strategy and architecture: data foundations, governance and AI roadmap.

Execution and continuity: highly technical teams that provide structural support.

The AI menu: five services, five doors

Each service starts with a real client question. The technology comes after.
Walk in through whichever door best fits your situation. Most organisations end up combining two or three.

Service 1 | We build working agents alongside your team

“We want to do something with AI agents. Where do we start?”

For organisations that want to move on AI but have no plan in place yet. Together we map the roadmap, Microsoft-first and open to what fits, then build the first agents in our Agent Factory with governance woven in from day one. The most strategic of the five, and the endpoint is always working software, running with your teams.

What is included

Agentic AI vision and roadmap, Microsoft-first, open to what fits
AI ideation and use case identification
Agent Factory and AI governance: co-built MVPs, delivered safely

Service 2 | We automate the manual work

“We hear a lot about AI agents, but my team just wants the manual work to stop.”

Sometimes an AI agent is overkill. A solid workflow, a low-code app, a dashboard or a piece of smart automation often delivers results faster. We start with the pain, pick the right tool, and ship the first use cases in weeks. A natural entry point for organisations that want results today, before they take on a full agentic AI programme.

What is included

Efficiency Factory: process automation at scale, locally in Belgium or through our own nearshoring hub in Slovenia
Vibe coding and low-code apps for business teams
Dashboards your teams can act on straight away

Service 3 | We help your people work with AI

“We bought the licences. Adoption is falling behind, and what we do see worries me.”

Some people pick up AI naturally. For most, it takes a hand, and that is perfectly normal. Using AI well is a lot like learning to drive: you can figure it out on your own, and with guidance you get there faster, safer, and with fewer bad habits. This is one of our most proven services, with a long client list to back it up. Our goal is AI-independence: your people using AI on their own, with confidence. AI is changing fast, so we keep their skills current, and what they learned six months ago still works tomorrow.

What is included

Leadership Enablement Programme for executives
AI capability assessments by role and team
Training programmes and adoption tracks, calibrated to your context
OASE and PlayForward, our own tools that make new AI skills stick

Service 4 | We set up your cloud, data and security foundations for AI

“My data is everywhere, my CISO is nervous. Can this be done safely?”

AI moves faster than most organisations can secure it. Without the right architecture underneath, and a safe place for people to experiment, you are choosing between blocking innovation and quietly losing control of your data. This is the unglamorous work that decides how fast AI will scale in your organisation: a solid data foundation, an AI sandbox for safe experimentation, and the security and policy work that lets AI grow without becoming a risk. With this foundation in place, the other services take flight.

What is included

Data architecture built for AI, including sovereign and hybrid options
AI sandbox and playground for safe experimentation
AI security and policy setup

Service 5 | We keep your AI procurement under control

“My CFO is asking what we are actually paying for, and I cannot answer.”

Most organisations have no clear view of what they are actually paying for in AI: licences scattered across teams, shadow tools that nobody approved, usage costs that surprise the CFO every month. We map it out, align finance and IT, and help you control the spend, including practical ways to bring costs down like running your AI models on your own hardware where it makes sense. Few partners talk about this openly. We do, because we want to be a partner across the whole operating life of AI, including the parts that draw less attention.

What is included

AI licensing and token management
AI hardware purchasing and advisory, including on-premise LLM setups

Proof from practice

Three examples of AI engagements we’re running today, across different sectors.

Extracting policy data from hundreds of insurance documents

INTERNATIONAL INDUSTRIAL GROUP

The corporate insurance team was spending days reading inbound insurance documents by hand, with premiums, limits, exclusions and liabilities scattered across the formats every insurer builds differently, and external partners doing the heavy lifting at slow turnaround and high operational cost. We built an AI layer on top of SharePoint that extracts the relevant fields automatically and stores them as structured metadata, with content-owner feedback sharpening the model over time, and the setup grows into an agentic approach that refines its own extraction logic. Extraction now happens in near real-time, the external partner is no longer needed for manual review, operational cost drops sharply, and turnaround for new policies is measured in days instead of weeks.

Inbound project mail, sorted and filed automatically

BELGIAN CONSTRUCTION COMPANY

Project teams received dozens of emails a day, each tagged with a case number, and mailboxes were monitored and filed by hand, which slowed turnaround and left room for misfiling as the project portfolio grew. We built a Power Automate flow that filters inbound mail on case numbers, runs a SQL lookup to find the right fileshare folder, stores attachments there according to project structure, and moves the original mail to a processed folder. Mailbox monitoring now runs itself, documents land in the right place in near real time, and misfiling and forgotten mail disappear from the workflow.

Unlocking 30 years of customer visit reports for the commercial team

GLOBAL MATERIALS TECHNOLOGY PLAYER

30 years of customer visit reports, full of context on products and commercial terms, sat in the archive: gold for preparing a new client meeting, and nearly impossible to retrieve in time. We embedded a Copilot Agent in SharePoint that queries the historical visit reports as its knowledge base, with plain-language questions returning concise summaries and direct links back to the source reports. The commercial team prepares customer visits faster and with richer historical context, which leads to more valuable conversations and stronger negotiation outcomes, and the organisation's knowledge becomes usable instead of staying in the archive.

Why Xylos

A family business with 42 years in the industry, and several technology paradigm shifts already behind us. Small enough to care, big enough to deliver.

Engineers and trainers under one roof
Building and adoption work as one team, so your AI gets built and actually used.
We stay close
Same time zone, same culture, in the room when it matters. A partner who is actually here.
We have lived through many technology shifts
Cloud, mobile, and now AI. We know the hurdles, we know what legacy looks like, and we know which promises actually deliver. A partner with the scars to recognise hype and the experience to navigate past it.
We build AI agents for ourselves too, and we try new things fast
We use what we sell, learn what works, and adapt before clients ask us to. You learn from our mistakes instead of paying for your own, and you get this year's playbook.
We say when we don't know, and when we don't agree
We will point to whoever is better placed to help, even when it isn't us. Honest answers from a partner who pushes back when it matters.
We take it personally
Technology is the means. The work is what your people do with their time. Your people get better at their jobs, and you keep your time for the work only you can do.