New ventures, built from the ground up.
We start AI-native service companies in domains we know, or together with a partner who is an expert in their field.
Focus on what matters.
See what we build
Our view
Focus on what matters.
We believe AI can make professional services better in every aspect. As AI takes on the routine work behind every service, professionals have more time to focus on what matters: developing close relationships, building expertise and finding creative solutions.
We build AI-native service companies around this view.
What we do
We build AI-native service companies.
In an AI-native service company, AI does most of the operational work, unlocking higher-quality services. We build AI-native service companies by founding AI-native service ventures and by enabling existing service firms to become AI-native. We call such companies AINS companies for short.
Emergenic
AI-native service builder
Founding
new ventures
Enabling
existing firms
Existing firms, made AI-native.
We help established service firms become AI-native. As strategic partners, we align our incentives with yours and co-own the outcome.
Why AI-native
What it brings.
- With AI, a service firm delivers faster: more work in less time. It delivers better: fewer errors in the operational work, sharper decisions from richer information. It delivers more: a broader service portfolio, built on the time AI frees up.
In practice
Three things we built for clients.
Accounting
The accountant judges. AI takes care of the rest.
For a Swiss accounting firm, we built an AI app that turns messy client documents into journal entries. The app reads unstructured documents of all types, such as receipts, bank statements and invoices. It checks them for completeness and compliance, matches them and drafts the journal entries. All on infrastructure built for data protection and professional secrecy in Switzerland. What remains for the accountant is judgement: approving journal entries and discussing unusual cases with their client.
- 90%less time per entry
- 100%of entries decided by an accountant
- 0client documents handled outside the agreed data protection setup
In use at a Swiss accounting firm
Trading
An autonomous trading agent.
We built an AI trading agent that starts from the firm’s current position in each product it trades. It adds market insights from the purchasing team, shared through a market intelligence platform we also built. From these it spots trading opportunities and offers them to existing customers. Our own scraping tool finds the new buyers most likely to say yes. A trader in the loop confirms every deal, and the agent learns from every successful or failed deal.
- 24/7market scanning and outreach
- Anynumber of tailored offers per day
- 1trader, who confirms every deal
Built for an agri trading company
Strategy consulting
Shelf insights, straight from the picture.
We built an AI tool that turns shelf photos into category insights. The tool reads every facing on a convenience store shelf, capturing details such as brand, price, flavour and pack size. The tool builds a database and generates category insights across stores, brands, channels and regions. This leaves the consultant with more time to translate insights to value for the client.
- 92%less time per metre of shelf
- 12×more shelf metres covered per consultant hour
- 4×more data points per facing
Used in strategy projects for Dutch clients
THE AI MATURITY LADDER
How do you become AI-native?
There is no elevator to AI-native service success: you have to climb the ladder.
The AI maturity ladder has five levels. At each level you hand more work to AI, because you have learned how to direct it, how to check it and when to trust it. Each level is earned in practice, with safeguards that work.
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LEVEL 1
Assisted
You hand overA question
AI suggests; the professional produces the work.
-
LEVEL 2
Integrated
You hand overA task
AI works with the firm's knowledge, instructions and sources. The professional checks the output.
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LEVEL 3
Orchestrated
You hand overA workflow
Coordinated agents carry out a workflow. Professionals stay in the loop: they design the agent workflows, investigate issues and update the workflow until the output is right.
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LEVEL 4
Supervised
You hand overA process
An always-on An always-on environment where specialised AI agents work together on one process: building, reviewing, updating and reporting, around the clock. runs within set safeguards, with monitoring and escalation built in. Professionals define the outcomes and safeguards; their only remaining task is to oversee quality. In this stage, the professional is on the loop.
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LEVEL 5
AI-native
You hand overThe operation
Connected AI factories run the firm's service operations. People set direction, develop the systems, hold client relationships and remain accountable for outcomes.
Where do you start?
We can help you to assess where your firm stands on the ladder and turn that into an AI strategy and roadmap.
You can start small. Different processes within the same firm can sit at different levels.
We help you level up step by step, building on what works and proving the value before committing to expensive, complex systems your firm is not ready to operate.
Let's map your next step
Take a look at the ladder, and if you want to spar with us on where you stand and what the ladder looks like for your sector, contact us.
Our ladder builds on Steps of AI Adoption, which Boris Cherny, the creator of Claude Code, wrote for software engineering teams. We adapted it for professional services.
About us
This is us
We are professional service providers who have each spent more than a decade in our fields. We love to build. We always have, in every role we have held.
With AI, we see the opportunity to rethink how a service company works from the ground up. We founded Emergenic to prove that in practice.
Alwin Lijdsman
Co-founderAlwin is a certified public accountant (CPA) in the Netherlands and in Switzerland, with a master’s degree in Data Science from the University of Amsterdam. He spent more than ten years in audit at KPMG in Amsterdam and Zurich, rising to lead a global insurance engagement of more than 70,000 hours. His audits ran efficiently on the latest audit technology, much of which he programmed himself. He also taught more than two hundred finance professionals to code in Python, many of them on his own team, guided by the Data Handbook he wrote. As a result, his teams were practitioners and programmers at once, running complex, highly automated workflows that held up to the regulatory scrutiny of a global audit. At Emergenic he sets the vision and founds new AINS companies.
alwin@emergenicgroup.comField notes by Alwin
Jurjen van der Werf
Co-founderJurjen brings ten years of experience in strategy consulting and private equity. He graduated cum laude in International Economics and Business from the University of Groningen and holds a master’s in Finance from the University of Amsterdam. He started his career at Strategy& (formerly Booz & Company), where he spent five years on more than 25 engagements across sectors. He then joined Anders Invest, a Dutch private equity fund, as an investment manager focused on food and agri. Since 2025 he has worked as an independent strategy consultant and investment manager, combining strategy, value creation and M&A. Along the way he taught himself agentic engineering, which let him go beyond defining the right strategy and value-creation plan. He now builds AI tools that enhance his own consulting work, as well as complete AI systems that help clients become AI-native. At Emergenic he leads strategy and AINS venture building.
jurjen@emergenicgroup.comField notes by Jurjen
Cor Zuurmond
Co-founderCor has built information technology systems for more than ten years. As Field CTO at Xebia, he built data and AI platforms for regulated and data-heavy clients, led an eight-person platform team and trained teams at more than twenty organisations. As a builder, he is a core contributor to open-source data software, has sold financial data through Nasdaq Data Link and has trained a deep neural network to estimate heights from aerial imagery. He holds a bachelor’s in Applied Physics from Delft University of Technology and a master’s in Data Science from the University of Amsterdam. At Emergenic he owns the technical core: the software stack for our AI-native service companies.
cor@emergenicgroup.comField notes by CorContact
Focus on what matters.
Want to know where your firm stands on the ladder? Or are you looking for services from one of our AI-native service companies?