What AI looks like in practice
Real projects where we deploy AI for agents, predictive models, computer vision, content setups and more. See what's possible with the right approach.
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Manufacturing
R&D knowledge agent that prevents brain drain
An international company struggled with high staff turnover in their R&D department. We built a Copilot Studio agent that makes years of accumulated knowledge accessible to new employees.
Manufacturing
Predicting recovery times based on millions of records
An international company wanted to predict recovery times based on historical repair data. We built ML models that outperformed human estimates, even with imperfect data.
Agriculture & Biotech
Computer vision that classifies insects with 99.9% accuracy
VLAIO-funded project: a computer vision model that identifies the sex of flies for the animal feed industry. Over 99.9% accuracy.
Healthcare / Medical Supplies
AI-driven digital marketing for a medical supplies distributor
A medical supplies company needed full digital marketing support. We combined AI-driven content creation, image generation and a Hugo website for a cost-efficient marketing function.
Manufacturing
LLMs for complex HR and training content in manufacturing
A manufacturing client explored how LLMs like ChatGPT and Copilot can help HR create training plans, workshops and infographics.
Internal Project
AI-driven rebranding of the Responsestudios website
For our own rebranding, AI handled it all: competitive analysis, positioning, content, translations and image generation. Full project shipped in under a week.
Client Project
Automated image creation via AI workflow
Dozens of images had to be created for a website. Instead of manual work, we built an n8n workflow that reads prompts, sends them to an image API and stores results in Google Cloud Storage.
Our honest take on AI
AI is our core business. We help companies deploy AI pragmatically every day. That is exactly why we want to be open about two things.
AI is not a magic bullet
It requires preparation, testing with a small group, scaling and training. Always check AI output. The level of control should match the cost of an error. We are happy to show our clients what works and what does not. Transparency beats perfection.
People stay at the centre
People are central today and tomorrow. Decide upfront where humans need to verify or validate. This must be built into every solution. AI should amplify your capabilities, not replace your judgement.
Ready for your AI setup?
One conversation. No pitch deck. Just an honest look at where AI makes sense for your organisation, and where it does not.