A practical starting point: a written roadmap, automations that connect to systems already in use, and an interface to run them.
15+ years in data · Complex analytics, machine learning projects, and process automation · Public sector and finance
Three kinds of work, from the first question to something people can use.
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.
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.
First decide where AI is worth the effort. Then connect an automation to the systems already in place. Then give people a clear place to use it.
01
Decide where AI is worth it.
02
Connect an agent to the systems already in use.
03
Give people a clear place to use it.
Platforms worked with
Small and medium-sized businesses worldwide, and local municipalities in Israel. Organizations that know AI matters but are not sure where to begin. No in-house technical team required.
No. Technical work is translated into clear steps for people who make decisions and do not come from a technical background.
An agent can take on work such as data processing, customer communication, scheduling, and reporting, across more than one step, and connect to tools you already use.
Consulting can start right away. Automation work is often 2 to 6 weeks, and web work is often 1 to 3 weeks. A project that starts immediately can still take the full range, depending on complexity.
Use the contact form below to set up an introductory call.
15+ years in data, and 10+ years involved in complex machine learning and analytics projects, including multi-class classification and prediction, with familiarity with forecasting, clustering, and recommendation methods. The same background includes process automations and agentic workflows connected to existing systems, work at a Big Four firm on government-related projects, and substantial experience in the public sector and finance.
A short call to see whether a roadmap, an automation, or an interface is the right first step.