The work is a first practical step in AI: a roadmap, an automation connected to systems already in use, or the interface that makes it usable. Technical choices are explained for the people who have to decide.
The background is 15+ years in data and 10+ years involved in complex machine learning and analytics projects, including multi-class classification and prediction, plus familiarity with forecasting, clustering, and recommendation methods. It also includes process automations, agentic workflows connected to existing systems, and integrating AI into systems organizations already use. Earlier work was at a Big Four firm, including government-related projects, with substantial experience in the public sector and finance. Privacy and regulatory questions have come up alongside that work, not as a specialist practice. This website was built independently in Next.js and React.
ARdata.ai
Founder
Four steps, from the first question to something people can use.
01
The question, the systems, and the constraints.
02
What to do first, and what to skip.
03
The workflow, the agent, or the interface.
04
Adjust it once it is in use.
The same three practices, from the first question to a working system.
Beyond a basic chatbot: a workflow that runs more than one step and connects to tools already in use.
You leave withA workflow or agent that carries a task across steps and connects to the systems already in place.
A Next.js and React interface around that work: a dashboard, a portal, or a screen people use. This site was built the same way.
You leave withA Next.js and React interface for the workflow, a dashboard, or a portal.
A short roadmap: where to start, which tools fit the systems already in use, and what to leave for later.
You leave withA written roadmap, with an order of work and a list of what not to touch yet.
A short call to see whether a roadmap, an automation, or an interface is the right first step.
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