AI systems and outreach · Netherlands
Built with AI. Verified like it wasn’t.
Two things. An SMS system that reopens conversations with leads who went cold, and production software for businesses that have to run on it.
- Every value type‑checked
- Not assumed. Proven before the code ever runs.
- Tests on every push
- Unit and browser tests, gating the deploy.
- An outside examiner
- Reviewed the charity accounts at a statutory year end.
01 SMS reactivation
A database you already paid for, reopened
AI-led SMS conversations with leads who once raised their hand and went quiet. Starts from a CSV. Your reps only speak to people who replied.
The same lead, four messages apart
Not interested
↓ four messages ↓
Yeah ok. Thursday evening works, after 6
02 Systems
Production systems, not prototypes
Specified, built and verified as software a business can run on. You get the repository, the documentation and the pipeline.
Built and running
- RPMLive
- Donations, expenses and accounts for an international aid charityDelivered, in use
- ESMA securitisation disclosure validatorIn build
- Hyve VitalsDemo prototype
Where the AI is
Build time and run time are different questions
Every system here is written by directing AI agents. That is a decision about how it is built. Whether a model runs inside the finished system is a separate decision, made per project.
Build time — AI throughout
Specification
Data model, architecture, acceptance criteria
AI agents write the code
Directed against that specification
Static analysis and tests
In CI, gating the deploy
Deploy
With a rollback path
Run time — a decision per project
A transaction arrives
Bank statement, donation, grant
Deterministic ledger
No model in this path, by design
Posted and auditable
Reconstructable after the fact
Statutory accounts
Reviewed by an outside examiner
Build time and run time are separate decisions, made per project. Some of these systems have models in them by design. In the charity accounts and the disclosure validator there is nothing probabilistic anywhere near the numbers, because a probabilistic answer to whether a filing is valid is worth nothing. Knowing where not to put AI is part of what is being sold.
The claims, and what backs them
- One person can ship at this scale
- Every system here was delivered by directing AI coding agents against a written specification.
- Which is why the checking is not optional
- Roughly 34,000 lines at static analysis level 9 of 9, with unit and browser tests in CI, reviewed by an external independent examiner during a statutory year end.
- You work with the person who designs and ships it
- No account manager, no handoff to juniors, no third party between the brief and the build.
Europe
Built for the regulatory environment it runs in
American operators sell this playbook into Europe and adapt afterwards. Here it is the other way round: the lawful basis for an SMS campaign is established before anything sends, recipients are told they are talking to an AI system, and auditability, retention and data residency are architecture decisions rather than a later review.
None of that is a certification and none of it discharges your own obligations. It is how the work is done, and where your own legal advice is the right answer, I will say so.
Start with a call
Twenty minutes to work out whether there is something here worth building. If there is not, I will tell you.