Conversational AI
Voice and chat interfaces that make complex systems easier to access.
Make complex products feel usable.
I turn rough ideas into useful product systems.
Hello, I’m André,
a senior product manager and product leader with a long habit of making complicated software easier to understand, build and use.
I combine product strategy, user understanding and modern AI tools to quickly turn early ideas into tangible solutions. I’m especially interested in the moment when an assumption becomes a working prototype.
AI Product Experiments
When I see AI potential, I make it tangible.
I’m not interested in AI for its own sake. I’m interested in where AI simplifies workflows, supports decisions, creates content or helps users reach their goal faster. When I see a product idea there, I’d rather build a working prototype than only write a concept paper.
Workflow Automation
AI-supported flows that reduce manual steps and connect processes.
Content Generation
Automated creation, analysis and preparation of text, image or audio data.
Rapid Prototyping
Fast implementation of product ideas to test assumptions early in practice.
Capabilities
Where I’m most useful.
Most of my work falls into a few patterns. If you see yourself in one of these, we should talk.
Product Strategy & Leadership
When product work needs clearer priorities, calmer decisions and a bridge between users, business and engineering.
Product UX & Delivery
When complex workflows need to become understandable, testable and practical enough for people to use every day.
Data & Insights
When analytics, planning logic or operational data needs a product shape that helps people make better decisions.
AI Workflows & Tools
When teams want to explore AI assistants, automation, prototypes and new ways to reduce repetitive work.
Selected Work
What this looks like in practice.
A sample of product problems and systems I’ve helped shape over the years.
Scaling product from early support to leadership
I joined onOffice when the company was still small and grew into product leadership while the organization scaled to around 300 people. That path shaped how I think about support signals, product quality, team structure and strategic focus.
Building product, project and support structures
I helped establish the operating structures around product management, project management and customer support, including leadership roles, clearer responsibilities and stronger collaboration between product, engineering and customer-facing teams.
Creating a marketplace with 15+ partner integrations
I led product work around a marketplace ecosystem with more than 15 partner companies, balancing partner needs, platform logic, commercial relevance, payment integration and usability for CRM users.
Making planning and analytics software easier to use
In planning and data-heavy products, I worked on turning personnel, cost-center, sales and energy data workflows into clearer interfaces that help people make better decisions instead of fighting the system.
Exploring AI assistants and workflow automation
I have built and evaluated prototypes around conversational interfaces, workflow automation and multi-agent systems to understand where AI creates real product value and where it only adds complexity.
"I like the part before everything is obvious: when you have to test, simplify, prototype and listen." - André Stormberg
Craft
Making a product feel right.
It’s the little and subtle details that decide whether complex products feel clear or exhausting.
Clear Models
Turning complex domains into concepts people can reason about.
Honest Flows
Finding where users hesitate, repeat work or lose trust.
Useful AI
Putting AI where it helps the work, not where it merely looks impressive.
Prototype First
Building something concrete before polishing assumptions.
Team Direction
Giving product teams enough clarity to move without over-controlling the path.
Calm Priorities
Separating what matters now from what only feels urgent.
AI Product Experiments
A career break became an AI product lab.
During my career break, I spent a lot of time exploring how modern AI tools change product development. I did not only describe ideas, but turned them into working prototypes with real workflows, data, interfaces and user logic.
That made the break a practical exploration of applied AI, rapid prototyping and new product approaches.
AI Workflow DesignTranslating product ideas into concrete AI-supported flows.
Rapid PrototypingBuilding ideas quickly enough to judge them properly.
Applied AIUsing AI where it creates real user or process value.
Product DiscoveryTesting assumptions early instead of staying in concept mode.
Learnings
What I’ve learned about AI products.
AI is rarely the product
Users don’t buy models. They buy better outcomes, less effort or faster decisions.
Workflows beat single prompts
The largest value appears when AI is connected to workflows, data and existing systems in a useful way.
Prototypes change conversations
A working prototype makes abstract ideas tangible and leads to better decisions faster.
Product thinking still matters
AI accelerates implementation, but does not replace problem understanding, prioritization or user perspective.
Working Together
How I usually plug in.
Every team and product is different, but most product work follows a simple approach.
Start where it hurts
I first understand what users, teams and the business are trying to achieve. The current flows, constraints and points of friction usually tell the truth quickly.
Shape and prototype
Next, I turn the unclear parts into product direction, simple concepts, interface sketches, clickable prototypes or AI-supported experiments people can react to.
Build, instrument, refine
Once a direction works, I help teams move it into delivery, measure what matters and keep improving until the product feels less like a project and more like a useful habit.
"Full of creative enthusiasm - but grounded enough to ask what users actually need." - Working note
Contact
If this sounds right, let’s talk.
A short conversation is usually enough to see if there’s a fit.
FAQ
A few questions people usually ask.
When does working together make sense?
When you have a complex product, workflow, platform or idea that needs clearer direction, faster validation or a more usable shape.
What industries have you worked with?
Real estate SaaS, webinars and learning platforms, energy data, planning software and AI-enabled product experiments.
How do you usually work with teams?
I work close to product, engineering, leadership and users. I’m comfortable moving between strategy, discovery, prototyping and delivery.
Can you go into more detail with your AI work?
Yes. The shortest version: I use AI as a product material, a prototyping accelerator and a way to rethink workflows - while staying strict about real usefulness.
Are you available for full-time roles or projects?
I’m open to conversations around international product, SaaS, AI, marketplace, travel-tech and leadership opportunities.