An honest look at the work we do for clients — what we built, why, and what it actually changed for them.
Agents type a question and get the right passage from the knowledge base back, with the source attached. Saves a lot of clicking around and second-guessing.
Business users just type their question in normal language. Behind the scenes a semantic layer makes sure the answer comes from the right, governed dataset.
No separate window, no extra tool. An assistant inside the case system drafts emails using real customer data and sticks to the house style. The agent reads it, tweaks it, sends it.
Around 150 emails come in every day and all need to go somewhere. A workflow in their own cloud environment now sorts and routes them. We tested it quietly first, then flipped it on.
A single platform where e-learning, onboarding and personal development conversations come together. Connected to HR data, with dashboards per role and a learning assistant that thinks along.
An internal platform where multiple agents collaborate on research and content for the marketing team. We set it up as an open framework, so they can keep building on it themselves.
Messy supplier rate sheets go in, a workable matrix comes out. AI does the reading, fixed code does the maths, a human signs off on the result.
Incoming application emails get read, attachments handled, and a forwarding email is waiting as a draft. Sending stays with HR — we kept that on purpose.
The field moves faster than any one person can follow. An internal agent scans new frameworks and models continuously, filters out the noise, and only flags what actually matters to the team.
We took on the manual work around leads, data and invoices with modular pipelines and hooked everything into the existing CRM. People now work from one portal instead of six tabs.
We sat in with admin, sales and marketing, wrote down what actually got in the way, and turned that into a roadmap at three maturity levels. Not an 80-slide deck — something they could start on Monday.
Their shared Outlook inbox was drowning. We replaced it with an on-prem ticketing system that scores urgency itself and assigns mails to the right person. Data never leaves the building.
Supplier invoices and call-off orders get read, validated, and pushed via a secure connection straight into the ERP and the data lake. Nobody has to type them in anymore.
A chatbot on the web shop answers product questions day and night with current product info. Underneath sits a deployment pipeline that tests every change before it ever goes live.
A chatbot that answers 125 specific FAQ questions on the spot and gently guides browsing visitors toward the showroom. Improves as the knowledge base grows, runs on the same CI/CD stack.
Excel goes in, a finished Word report comes out. Two cooperating models keep their methodology and tone of voice in check, so every report reads like it came from the same advisor.
Incoming mails are read and labelled, and for standard questions a draft reply is ready to go. The templates live in an Excel the client manages directly — no developer needed to tweak a line.
A daily meeting-room schedule on SharePoint, plus a flow that turns tenant emails into proper work orders for Yardi. Fixing two things at once during a migration is no small feat.
Over six weeks we built AI skills tailored to each person's actual job — from digging through quarterly fund reports to calculating WWS points. Not a generic training, but something that fits their role.
Meeting audio gets transcribed and turned into structured reports. The whole thing runs on EU infrastructure and meets GDPR — a requirement that's rarely negotiable in consulting.
We put existing software next to a custom plugin and had both auto-fill contracts from Chamber of Commerce data. The result gave the team a clear basis to make a call.
Discover more about our approach and solutions.
AI Agents, low-code and high-code solutions
On-premise AI agents on your own hardware
The team and the 10x Engineer mindset
Insights on Agentic AI and multi-agent systems
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