Our Cases

    Proven results

    An honest look at the work we do for clients — what we built, why, and what it actually changed for them.

    AI automation case study for ANWB: Knowledge assistant for member services
    Mobility
    FIG. 01
    ANWB

    Knowledge assistant for member services

    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.

    Faster call handlingConsistent answersLess manual searching
    AI automation case study for Wolters Kluwer: Asking your data questions in plain English
    Legal Tech
    FIG. 02
    Wolters Kluwer

    Asking your data questions in plain English

    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.

    Faster data accessExplainable data queriesFewer ad-hoc requests
    AI automation case study for InShared: A writing helper that lives inside the case file
    Insurance
    FIG. 03
    InShared

    A writing helper that lives inside the case file

    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.

    Faster email draftingConsistent toneNo context switching
    AI automation case study for Meijers Verzekeringen: Mail that sorts itself onto the right pile
    Insurance
    FIG. 04
    Meijers Verzekeringen

    Mail that sorts itself onto the right pile

    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.

    Half FTE freed upFaster mail routingSecure local processing
    AI automation case study for AMI Kappers: One place for learning and growth
    Retail
    FIG. 05
    AMI Kappers

    One place for learning and growth

    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.

    Central knowledge platformStandardised onboardingClear HR overview
    AI automation case study for AFAS: A set of agents that handle marketing work together
    Software
    FIG. 06
    AFAS

    A set of agents that handle marketing work together

    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.

    Scalable agent frameworkAutomated marketing researchExtensible code base
    AI automation case study for TravelEssence: Reading supplier rate sheets without the headache
    Travel
    FIG. 07
    TravelEssence

    Reading supplier rate sheets without the headache

    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.

    Minutes instead of hoursReproducible calculationsMandatory human review
    AI automation case study for Domus Valuas: Applications that prep themselves
    Healthcare
    FIG. 08
    Domus Valuas

    Applications that prep themselves

    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.

    Faster application processingAutomated admin routineHR retains final control
    AI automation case study for OpenClaw: Our own research agent
    Internal
    FIG. 09
    OpenClaw

    Our own research agent

    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.

    Continuous tech monitoringFaster tool adoptionStructured team reporting
    AI automation case study for 4Everyware: From scattered annoyances to a working stack
    Trade
    FIG. 10
    4Everyware

    From scattered annoyances to a working stack

    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.

    Reduced daily manual workCompany-wide AI platformModular infrastructure setup
    AI automation case study for Beachclub Indigo: An honest advisory report across four departments
    Hospitality
    FIG. 11
    Beachclub Indigo

    An honest advisory report across four departments

    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.

    Concrete automation roadmapDepartmental quick winsPhased implementation plan
    AI automation case study for Monarch: BKSM: ditching the shared inbox for a real ticket system
    Industrial
    FIG. 12
    Monarch

    BKSM: ditching the shared inbox for a real ticket system

    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.

    Eliminated manual triageLive SLA overviewLocal data processing
    AI automation case study for The Onion Group: Invoices and orders straight into Microsoft Fabric
    Agriculture
    FIG. 13
    The Onion Group

    Invoices and orders straight into Microsoft Fabric

    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.

    Eliminated manual data entryCentralized Microsoft stackAutomated ERP imports
    AI automation case study for Kitchen 247: A web shop chatbot you can trust at 2am
    E-commerce
    FIG. 14
    Kitchen 247

    A web shop chatbot you can trust at 2am

    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.

    Continuous customer supportReduced support loadFast and safe deployments
    AI automation case study for Kuchenwelt: FAQ chatbot that nudges visitors toward the showroom
    Retail
    FIG. 15
    Kuchenwelt

    FAQ chatbot that nudges visitors toward the showroom

    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.

    Faster answers for visitorsLess load on supportMore showroom visits
    AI automation case study for Van Campen Consulting: Absenteeism reports in minutes instead of a day
    Consulting
    FIG. 16
    Van Campen Consulting

    Absenteeism reports in minutes instead of a day

    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.

    Faster report generationConsistent house styleHigher analytical quality
    AI automation case study for Hizi Hair and Kinki Kappers: A tidier inbox with templates they manage themselves
    Retail
    FIG. 17
    Hizi Hair and Kinki Kappers

    A tidier inbox with templates they manage themselves

    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.

    Organized shared inboxLess manual typingClient-managed templates
    AI automation case study for Green Real Estate: Smart Planner and tenant tickets during the Yardi migration
    Real Estate
    FIG. 18
    Green Real Estate

    Smart Planner and tenant tickets during the Yardi migration

    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.

    Daily time savingsSmooth ERP transitionScalable n8n foundation
    AI automation case study for Van Deursen Group: Custom Claude skills, one employee at a time
    Real Estate & Investments
    FIG. 19
    Van Deursen Group

    Custom Claude skills, one employee at a time

    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.

    Less repetitive workTime saved per employeeHigh adoption rate
    AI automation case study for Based: Meeting intelligence that stays inside the EU
    Consulting
    FIG. 20
    Based

    Meeting intelligence that stays inside the EU

    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.

    Searchable meeting databaseFull GDPR complianceBetter knowledge retention
    AI automation case study for Act Legal: M&A purchase agreements filled in from Chamber of Commerce data
    Legal
    FIG. 21
    Act Legal

    M&A purchase agreements filled in from Chamber of Commerce data

    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.

    80% time savings targetLegora OS 94% accuracyPlugin 89% accuracy

    Your Case Could Be Next

    Let us know your challenge and discover how we can help.