Digital transformation and agentic AI, implemented.
For mid-market and enterprise teams on composable and AI programs. Rescue a stalled program, measure what your AI actually returns, or choose a platform with no partner badge in the room. Fixed prices in euros, from the two people who do the work.
Stalled projects, moving again.
Fidget Labs is a digital transformation and agentic AI implementation and consulting firm, run from Breda, Netherlands, working with brands in Europe and the United States. We work with enterprise and mid-market teams who need real systems shipped, not slides delivered.
Our work blends deep technical expertise with hands-on delivery and a teacher's instinct. Every engagement is scoped to leave your team more capable than we found it. Less invoice liability, more lasting capability.
We deliver the MACH AI Exchange under contract with the MACH Alliance Tech Office, hold no platform partner badges, build with the agent patterns we recommend, and ship code we'd be willing to maintain ourselves.
You are paying for AI. Can anyone say what it returns?
Most organizations paying for AI every month cannot answer that, and nobody selling AI is offering to find out. We map which half of your problem is actually AI, measure what is already running, then build the parts worth building.
We instrument, not interview
The AI Impact Audit puts measurement into your systems for four weeks: what each AI request costs and returns, spend against output, the automatable share. A finding backed by your own telemetry is hard to argue with.
Deterministic first
Rules where rules work, a model only where judgment is needed. Cheaper to run, the same answer every time, and auditable when someone asks why. We run our own back office on agents built this way, on a refurbished mini PC, for about ten euro a month.
Yours to keep
Model-agnostic, with the data, the abstraction layer, and the evaluation harness owned by you. A vendor decision made this year stays reversible next year.
Three situations. Priced in the open.
Each engagement is named for the situation you are in, at a fixed price in euros. The people who diagnose are the people who deliver.
Not sure which? Start with the Architecture Review (€7,500) or the AI Opportunity Map (€5,000). The fee is credited in full against any of the three main engagements if you start one within 90 days. If the work proceeds, the diagnosis was free.
Where do you sit?
CTO, CIO, digital lead, or the person signing the budget: the same gap looks different from each seat. Start from yours.
CTO or VP Engineering
You need someone senior to read the code and make the call.
Independent reviews, rescues of late replatforms, and agent-ready designs, from people with no stake in the delivery contract. Decisions written down, harnesses handed over.
CIO or CDO
You need decisions that survive finance, risk, and the board.
AI spend measured in your own systems, governed starting points, and platform selections with an audit trail. Fixed prices, written scope, instruments you keep.
Digital Director or VP Digital
You need editors publishing without a ticket, and AI assistants getting you right.
Leave a slow DXP in phases, keep campaigns running during the move, and structure content so answer engines describe your products the way your site does.
CEO, COO, or CFO
You need straight answers on AI and digital, in plain language.
Where AI will pay off, what your current AI spend returns, and whether the late program is fixable. A published price before the first call, and one recommendation, not a menu.
How Ready Is Your Organization for Composable + AI?
10 minutes. 18 questions. Two scores that tell you exactly where you stand. Benchmarked against 600 enterprise leaders from the MACH Alliance.
have adopted composable technology
face barriers implementing AI
of fully composable orgs are confident in AI at scale
believe AI governance standards are missing
Source: MACH Alliance Enterprise Technology Report 2026 (n=600)
Find out where you land.
The MACH & AI Readiness Assessment scores your organization on two axes. Composable maturity. AI readiness. You get placed on a quadrant, benchmarked against real enterprise data, and receive an AI-powered personalized analysis of what it means for your specific situation.
No signup. No gate. Just answers.
Delivery Lead for the MACH AI Exchange. Kerrigan Baron runs the Alliance's monthly agentic AI sessions and leads the recurring AI Exchange hackathons. The program has shipped six open-source agentic prototypes so far, with more on the way.
About the MACH AI ExchangeThinking on composable and AI in practice
Field notes from delivery, not commentary. Written by the people doing the work.
Featured
MACH X Amsterdam 2026: Three Hackathons, One Build Lab, and an Agent Ready Audience
Three days at Felix Meritis. Three AI Exchange hackathon builds shown live on the Technology Track, an open-source Agent Build Lab that invited the room to break it, and a community that has stopped asking whether agents work. What it proved, and what nobody on stage could prove yet.
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Three Weeks to Build. Three Months Before Anyone Trusted It.
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Stateless, Secure, and Extendable. What the MCP Release Changes for Enterprise Agents.
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Your Pilot Is Not Failing on the Model
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AI Is Answering Your Customers. It Is Recommending Someone Else.
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One Person on Your IT Team Used Grok. Your Repo Is in Someone Else's Bucket.
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I Had an AI Hire an AI to Manage My AI. Meet the Director.
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The Capabilities Behind the Offers
5 practice areas, from architecture strategy to hands-on migration. Every one delivered through the offers on our How We Engage page.
The models and tools we build with
Model and platform choices follow the business need, the data requirements, and the running cost. Vendor neutral, always. If your platform is on this list, we have worked with it.
AI models
- Claude
- OpenAI GPT
- Gemini
- Llama
- Mistral
- Gemma
- Qwen
- DeepSeek
- Kimi
- Rakuten AI
- Whisper
- DALL·E
- Stable Diffusion
AI and machine learning
- PyTorch
- TensorFlow
- Hugging Face
- LangGraph
- LangChain
- Temporal
- Ray
- MLflow
- Weights & Biases
- NVIDIA
- Ollama
- vLLM
- PostgreSQL + pgvector
- Redis
- Pinecone
- Weaviate
- Milvus
- Qdrant
- MongoDB
- Elasticsearch
- Apache Kafka
- Apache Airflow
- Snowflake
- Databricks
- BigQuery
Composable platforms
- Contentful
- Contentstack
- commercetools
- Storyblok
- Sanity
- Uniform
- Amplience
- Kontent.ai
- Builder.io
- Strapi
- Payload
- Prismic
- Directus
- Algolia
- Coveo
- Constructor
- Cloudinary
- Bynder
- Akeneo
- Salsify
- inriver
- Webflow
- BigCommerce
- VTEX
- Elastic Path
- Commerce Layer
- Medusa
- Bloomreach
- Fluent Commerce
- Talon.One
Commerce, CMS, and DXP
- Shopify
- Adobe Commerce
- Salesforce Commerce Cloud
- SAP Commerce Cloud
- WooCommerce
- Shopware
- Spryker
- Adobe Experience Manager
- Sitecore
- Optimizely
- WordPress
- Drupal
- Umbraco
- Kentico
- Joomla
- Wix
Enterprise systems we connect to
- Salesforce
- Microsoft Dynamics 365
- ServiceNow
- SAP S/4HANA
- Oracle NetSuite
- Workday
- HubSpot
- Zendesk
- Intercom
- Jira
- Stripe
- Adyen
- Twilio
- Zapier
Cloud and infrastructure
- AWS
- Azure
- Google Cloud
- Vercel
- Netlify
- Cloudflare
- Docker
- Kubernetes
- Terraform
- Supabase
Languages and frameworks
- Python
- TypeScript
- Java
- React
- Next.js
- Node.js
- FastAPI
- n8n
All product names, logos and brands are the property of their respective owners. Listing here does not imply endorsement or partnership.
Where our team has delivered
Two decades of delivery across pharma, finance, retail, technology, food, telecom and healthcare. This work was led across previous roles at Valtech, Merkle and Search Discovery, alongside current work with the MACH Alliance. The outlined marks link to a case study.
- Read the National Veterinary Associates case study
- Read the Gerber Life Insurance case study
- Read the Trimble case study
- Read the MACH Alliance case study
- Read the J.P. Morgan Chase case study
- Read the Frontpoint case study
Trademarks belong to their owners and appear here to describe work delivered. Their presence is not an endorsement or a partnership.
Some of what we have built
680,000+
digital pass holders
Finance and Insurance, Digital Experience
Read more85%
faster across 1,000+ sites
Healthcare, Digital Experience, Platform Engineering
Read more40%
lower operating cost
Finance and Insurance, Data and Analytics, Platform Engineering
Read more
11,000
adoptions driven by applied AI
Consumer and Retail, Applied AI
Read more
Our Approach to Transformation
Every engagement is guided by four core principles that ensure lasting success for your digital initiatives.
Composable-First Thinking
We design solutions that are modular, flexible, and built to evolve with your business needs.
Customer Experience at the Core
Every decision is guided by how it impacts your customers and their journey with your brand.
Neutral by Structure
Contracted with the MACH Alliance Tech Office and serving as Delivery Lead for the AI Exchange. Every build aligns to Composable, Connected, and Open principles, plus our own takes on Incremental and Autonomous delivery.
AI-Augmented Transformation
AI where judgment is genuinely needed, deterministic flows everywhere else. Rules are cheaper to run, return the same answer every time, and can be audited when someone asks why. We reach for a model when the input is truly unpredictable, not because it is on the roadmap.
Focal Point in your inbox
One short email when a new Focal Point article goes live. No spam, no sales pitches, just the writing.
Tell us where the build is stuck.
A program that has stopped moving, an AI bill nobody can justify, or a platform choice everyone has a stake in. Fixed price, fixed duration, every price on the page.