What does a senior Product Owner for AI and cloud platforms do?

I set product direction for AI and Azure cloud-platform initiatives, turning technical complexity into clear, deliverable decisions. The rest is the stakeholder and compliance work that decides whether an AI initiative ships inside a regulated enterprise.

Why does hands-on AI experience matter for a Product Owner?

Feasibility and cost on an AI programme are product decisions, not only engineering ones. I design and run multi-agent AI systems on my own account, on the Anthropic Claude and OpenAI APIs, so I can talk feasibility with engineers in real detail and judge whether an AI initiative can ship, well before it reaches a roadmap.

Which sectors has BrainSpark Innovations worked in?

Product ownership in health insurance and transport, on an engineering foundation built earlier in banking and government. All regulated Dutch enterprises, where compliance and audit scrutiny shape what gets delivered.

What is AgentRepoCoach?

AgentRepoCoach is an open-source tool I built and published on PyPI and GitHub. It scores a codebase for AI-agent readiness, and it is public, inspectable proof of the hands-on depth behind my product decisions on AI initiatives.

How does BrainSpark Innovations take on engagements?

BrainSpark Innovations is a one-person practice. For clients I lead product as a Product Owner or Product Manager, senior and hands-on from the first conversation. The AI systems I build are my own work, kept as the track record that sharpens that leadership.

Senior Product Owner / Product Manager

Senior Product Owner.
Hands-on in AI and cloud.

Product leadership for AI and Azure cloud programmes in large Dutch enterprises, backed by hands-on experience building AI systems.

Senior interim and contract product ownership in the Netherlands.Currently engaged, open to conversations about what comes next.

Talk to Wouter →See the work// ZZP · EN / NL

brainspark.profile.py

class Profile:
    role     = "Senior Product Owner / Product Manager"
    domain   = "AI & Azure cloud programmes"
    sector   = "regulated Dutch enterprise"
    delivers = "turns AI ambition into work the business can ship"
    proof    = "AI systems built firsthand"

    def value(self) -> str:
        return self.delivers

>>>

Shipped inside

Health insuranceBankingTransportGovernment

Regulated enterprise environmentsAzure cloud-platform & cost accountability

01 / Expertise

Product leadership, hands-on in AI and platforms

Leading an AI or Azure programme takes five things. Each one earns its place below.

P.01

Product leadership for AI and platform initiatives

The backlog, roadmap and stakeholder alignment that turn AI and cloud-platform initiatives into funded, shipped programmes.

P.02

Azure cloud-platform delivery with cost accountability

Product ownership of enterprise cloud platforms, with IT4IT and cost discipline in the roadmap. Funding a platform at scale comes down to the trade-offs between spend and delivery, and owning them.

P.03

AI product strategy

Deciding what is worth building with LLMs, and what is not. Testing feasibility and sequencing the work against the business and risk constraints that decide funding.

P.04

Leading LLM and multi-agent product delivery

Setting product direction for LLM and agent products, close enough to the engineering to weigh the hard delivery trade-offs and judge what can actually ship.

P.05

Enterprise delivery in regulated environments

Shipping inside health insurance, banking, transport and government, where compliance and stakeholder gravity set the limits.

= Σ

One owner across product, AI and platform

Product owner on the programme, with AI systems built firsthand as the proof beneath it. Feasibility, cost and compliance get worked out with the engineers early, so the work ships on decisions the business can back.

02 / Selected work

Enterprise delivery, backed by hands-on builds

Two tracks. The product I own inside regulated Dutch enterprises, and the AI systems I build on my own account.

// Enterprise delivery

Senior product ownership inside regulated Dutch enterprises. Clients unnamed.

A large Dutch health insurer

Current

senior product owner · Azure cloud platform

Azure cloud platform at a large Dutch health insurer, inside its Cloud Center of Excellence. Around thirty internal teams build and deploy on it. As product owner I set its direction and lead the ten engineers who build it.

◈ Anonymised engagement

A national transport operator

Prior

product owner · IT4IT platform

IT4IT platform at a national transport operator, where I led the automation team. When the programme needed senior leadership, my scope widened to additional teams and the platform’s overall direction.

◈ Anonymised engagement

// Built on my own account

My own engineering track record. One is open source on PyPI. Read the code yourself.

AgentRepoCoach

Open source · PyPI

architected & directed

An open-source tool that scores a codebase for AI-agent readiness, published on PyPI and GitHub for anyone to inspect.

▲ pypi.org/project/agentrepocoach ◆ GitHub · GitHub Action

Multi-agent orchestration framework

Private

architected & directed

A production-scale, continuously released framework that coordinates fleets of cooperating agents across the Anthropic Claude and OpenAI APIs, down to the platform patterns and infrastructure it runs on. In production, agents fail in specific ways, and those failure modes are what decide whether an AI roadmap survives delivery.

◈ Production · anonymised

Autonomous trading platform

C# / .NET

architected & directed

A multi-agent autonomous trading platform in C#/.NET, with a specialised agent fleet and an extensive automated test suite. Built, tested and deployed end to end, to the standard an audited environment demands.

◈ Production · anonymised

FAQ

Frequently asked questions

Common questions about engagements and the AI work behind the product decisions.

What does a senior Product Owner for AI and cloud platforms do?: I set product direction for AI and Azure cloud-platform initiatives, turning technical complexity into clear, deliverable decisions. The rest is the stakeholder and compliance work that decides whether an AI initiative ships inside a regulated enterprise.
Why does hands-on AI experience matter for a Product Owner?: Feasibility and cost on an AI programme are product decisions, not only engineering ones. I design and run multi-agent AI systems on my own account, on the Anthropic Claude and OpenAI APIs, so I can talk feasibility with engineers in real detail and judge whether an AI initiative can ship, well before it reaches a roadmap.
Which sectors has BrainSpark Innovations worked in?: Product ownership in health insurance and transport, on an engineering foundation built earlier in banking and government. All regulated Dutch enterprises, where compliance and audit scrutiny shape what gets delivered.
What is AgentRepoCoach?: AgentRepoCoach is an open-source tool I built and published on PyPI and GitHub. It scores a codebase for AI-agent readiness, and it is public, inspectable proof of the hands-on depth behind my product decisions on AI initiatives.
How does BrainSpark Innovations take on engagements?: BrainSpark Innovations is a one-person practice. For clients I lead product as a Product Owner or Product Manager, senior and hands-on from the first conversation. The AI systems I build are my own work, kept as the track record that sharpens that leadership.
Is Wouter de Bot available for interim Product Owner work in the Netherlands?: Yes. BrainSpark Innovations is based in Arnhem and currently engaged on a senior product-ownership programme, open to conversations about what comes next. The fastest route to a conversation is LinkedIn.

// 03 / Contact

Need senior product leadership on an AI or platform initiative?

Direct line to Wouter. No forms, no funnel. Tell me what you are building and where it stands, and you will get a straight product read back.

Currently engaged on a senior product-ownership programme. Open to conversations about what comes next.

References available on request.

Reach me on LinkedInlinkedin.com/in/wouter-de-bot→github.com/WouterDeBotOpen-source work→

04 / Credentials

Certifications

Scrum.org

Professional Scrum Product Owner I (PSPO I)

Microsoft

Microsoft Certified: Azure Developer Associate

Microsoft

Microsoft Certified: Azure Fundamentals

Microsoft

Build an Azure AI Vision solution

IBM Data Science Professional CertificateIBM
Neural Networks and Deep LearningCoursera
Pega Senior System ArchitectPegasystems
Pega Certified System ArchitectPegasystems

Senior Product Owner.Hands-on in AI and cloud.

Product leadership, hands-on in AI and platforms

Product leadership for AI and platform initiatives

Azure cloud-platform delivery with cost accountability

AI product strategy

Leading LLM and multi-agent product delivery

Enterprise delivery in regulated environments

One owner across product, AI and platform

Enterprise delivery, backed by hands-on builds

A large Dutch health insurer

A national transport operator

AgentRepoCoach

Multi-agent orchestration framework

Autonomous trading platform

Frequently asked questions

Need senior product leadership on an AI or platform initiative?

Certifications

Senior Product Owner.
Hands-on in AI and cloud.