AI automation that runs inside your business

Less manual work, faster processes. I build AI agents and automations that plug into the tools you already use.

Example: a quote request by email
  1. Email comes inCustomer asks for a price on 40 units
  2. AI reads and recognises the requestQuote request
  3. Prices pulled from your systemItems and volume discounts
  4. Draft quote ready for reviewYou approve and send

What can you automate?

Almost any recurring process involving text, documents or data. A few examples:

Email and customer questions

Incoming email sorted and summarised automatically, with a draft reply ready to go.

Quotes and documents

Quotes, reports and contracts drafted from your own data and templates.

Admin and data entry

Invoices, receipts and forms read and entered straight into your systems.

Internal knowledge assistant

An assistant that answers questions from your own manuals, procedures and documents.

Reporting

Figures from different sources combined into one overview that reaches you without any Excel work.

Connecting your systems

CRM, accounting, online store and planning working together, with AI where it adds value.

Daily report
Sent automatically to the team
Today
This month
This year
Per account
Risk alert ยท platform B

Exposure on platform B is 38% of the total, above the 30% limit. Three open positions, one leveraged. Check requested.

Example of what the team receives
What this means for your business The same works for revenue from your online store and accounting, outstanding invoices, stock or planning. Up-to-date figures every morning, without anyone losing an hour to it.

Case study: reports that write themselves

Alphaparty is an Amsterdam trading firm where, as interim CTO, I build the trading algorithms and order execution in Rust. Its capital is spread across a dozen accounts on several trading platforms. Anyone who wanted to know where things stood had to log in to every account, export the data and merge it all in a spreadsheet. Now the numbers come in by themselves.

  1. Every hour

    Data collected

    Balances, positions and transactions from all accounts are fetched automatically.

  2. 00:30

    Report in the inbox

    Results per day, month and year, including money in savings products. New accounts show up by themselves.

  3. Exceptions

    Alert in the team chat

    Positions and risk per platform, with a heads-up as soon as anything moves outside its limits.

  4. Weekly

    Interest check

    Compares what idle cash earns, and found a yield gap that was costing serious money every year.

  5. Weekly

    Team update by AI

    AI reads the calendar and writes a short update: who's where and which meetings are planned.

One AI layer across your whole business

Separate AI tools give you separate results. That is why I build an AI OS: one layer on top of your business, connected to your email, documents and systems, with agents that carry out tasks for your team. You start with one process and expand once it works.

How we work

  1. Intro call

    We look at your processes together and decide where AI saves the most time.

  2. Prototype

    I build a first version on a real process, so you quickly see what it delivers.

  3. Live, then keep improving

    The solution goes into use, and we improve and extend it based on how it works in practice.

Why work with me?

Over 15 years of full-stack development, specialised in AI integrations since large language models arrived. I work with Claude, GPT and open-source models and pick what fits each use case.

You work directly with the developer who builds it, without account managers or middlemen.

Freelance since 2011, before that at agencies and a startup. Along the way I built payment integrations for Adyen and the backend APIs of Factris, worked on Verint's FlexManager and led a cloud-native team at MakerStreet.

Location
Amsterdam, remote across the Netherlands

Which process costs your team the most time?

Tell me in a short call, and I'll show you what AI can do there.

Book an intro call