AI that feels effortless.

Team leads across several departments wanted to use AI in their work but were non-technical and unsure where to start.

Ran a five-part hands-on Claude course that took non-technical leads from the basics to applying Claude in their own workflows, and even building working tools with it.

Participants finished using Claude day to day and shipping their own simple tools, with no coding background.

Moving invoice rows between two systems needed technical know-how, which made it a bottleneck for the people who actually had to do it.

I audited both systems and their APIs, built a Claude-based tool that handles the transfer through API calls, and designed it so a non-technical person can run it.

Non-technical users now do the transfers themselves, and technical support got their time back.

A logistics talent team collected each candidate's visa type and other key details through a form, but candidates often selected the wrong visa type, which caused errors later in the process.

I built an AI chatbot that interviews each candidate, helps them identify their correct visa type, and collects the other key details, then feeds the structured data into the recruitment process.

Candidates identify the right visa type up front, and incorrect submissions dropped sharply.

A support team needed to reply to customers in many languages, but the ticketing platform's own translation add-on would have raised costs significantly.

I built LLM-powered translation tooling instead: automation flows and API integrations, plus a sidebar app that translates agents' outgoing replies into the customer's language, using parameters from the conversation to know which language to translate to.

Agents reply in languages they don't speak, with no expensive platform add-on.