ai engineering

Our engineers and consultants use AI to work smarter, faster and more creatively. We also actively help clients implement AI solutions, from building custom models to integrating ML into existing systems.

ai at team rockstars it

Engineers who understand AI

from software quality, ethics and scalability

Critical thinking

we also say ‘no’ if something is not sustainable

customer impact

With custom GPTs, LLM integrations, prompt engineering, MLOps, among others

This is how we help customers implement AI.

enexis

Making generative AI available securely and scalably.
At Enexis, we are accelerating the deployment of generative AI within the organization. Our Cloud Architects are developing a platform that makes LLMs available in a uniform and reliable way. This makes it easier and safer to deploy generative AI solutions.

municipality of amsterdam

Internal AI Assistant: ChatAmsterdam.
Among other things, at the municipality we are developing an internal AI assistant called ChatAmsterdam, a secure and accountable alternative to ChatGPT, designed specifically for the municipality. We are also building an advanced AI platform that enables other teams to leverage generative AI solutions for a variety of applications.

bdo

Automatically generate interview reports with AI.
Using AI, we are improving the process around taking minutes and processing (client) interviews at BDO. We developed a web application that allows interviewers to start or upload recordings. For each interview type, a template is available with questions, after which the audio is automatically transcribed. The AI links the answers to the template and publishes the report for internal use.

headfirst

AI for smarter matching in recruitment.
At HeadFirst, we are improving the Striive platform for a better match between professionals and clients. Our developers are modernizing the front-end and automating processes such as resume matching and document management. This creates a more efficient recruitment process and saves valuable time for recruiters.

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GenAI choice stress

Generative AI is no longer just for early adopters. It is mainstream, powerful and changing how we work at lightning speed. From customer contact to internal processes: GenAI is touching more and more business functions. But with that growth also comes choice stress. Which applications suit your organization? Will you build your own, or opt for an off-the-shelf solution? At Rockstars IT, we help you make the right strategic choices, based on the following principles: reuse what can be done, buy what fits, and only build what really adds value.

Discover our vision for GenAI

More about GENAI

AI is a way of working.

At Team Rockstars IT, AI is part of our daily practice. Not as an experiment, but as a full-fledged building block in our software development. Our engineers deploy AI where it adds value: in designing UX, speeding up development, automating testing, or building copilots that really cooperate in operations.

AI engineering with us is pragmatic, people-oriented and always with an eye on quality. No “AI-washing” or proof of concept without follow-up – but robust solutions that run in production, built by developers who fully understand AI and dare to be critical about what it (cannot) do.

Our vision: AI is a teammate, not a panacea

AI is changing the profession of software engineering. Not by replacing it, but by expanding it. At Team Rockstars IT, we work with AI the way we work with colleagues: with trust, clear boundaries and shared goals.

We see AI as an opportunity to make the profession more fun, smart and inclusive – as long as we stay focused on ownership, quality and impact.

AI Innovation Lab

Team Rockstars IT’s AI Innovation Lab is our experimentation space for smart applications of AI in practice. Here we test new ideas in Proof of Concepts, build the AI skills of our colleagues and share our vision for responsible AI use. All with one goal in mind: deploying technology that not only works, but also adds value for people and the organization.

Learn more

This is how our engineers & consultants use AI in practice.

At Team Rockstars IT, AI is not an isolated tool, but an integral part of the development process. Our engineers deploy AI where it really adds something to speed, quality and user experience.

AI for our own craftsmanship

AI as co-pilot during development

From GitHub Copilot to proprietary LLM integrations, our developers are using AI as an extension of their skills. Writing code faster, speeding up error analysis, generating automated documentation – it increases productivity and fun in the job.

AI-generated UX and interfaces

At conferences like WebDevCon, our engineers demonstrated how GenAI is used to design complete UX concepts based on simple prompts. By using AI smartly, we speed up design processes and improve accessibility – without losing the human touch.

Smarter testing and validation with AI

Our engineers use AI to generate test scripts, find edge cases and repeat regression tests automatically. This makes QA processes not only faster, but also more reliable.

AI for customer impact & implementation

Custom GPTs and internal copilots

We build AI assistants specifically trained for our customers’ context: from internal help desks to support in development workflows. Not a generic chatbot, but real digital colleagues who rotate with the team.

AI-driven dashboards and insights

We build intelligent dashboards that provide real-time insights based on AI analysis of large amounts of data – think automatically generated recommendations or predictions that are directly applicable in operations.

Building a secure and scalable AI platform

Our engineers develop AI platforms that allow organizations to deploy generative models securely, manageably and at scale. `with full control over logging, governance and usage.

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rapport

ai & happiness travel verlag

At Team Rockstars, we believe that technology is only truly valuable when it contributes to human happiness. In a world where AI is rapidly changing our work and lives, we are curious about what this means for work happiness. That’s why we started this AI & Happiness Travelogue. Not to paint a final picture, but to build a roadmap together, from practice and with humans at #1.

report insight

An open and exploratory approach

Not a traditional report, but a curious travelogue full of insights, questions and doubts – written without an expert role.

Broad input from the market

For this first edition, 41 people were interviewed from a variety of roles and perspectives.

Long-term research on AI & Happiness

Future editions will also share results from surveys to track sentiment, applications, opportunities and challenges around AI and happiness over a three-year period.

AI & Happiness