I build reporting, ops, and internal knowledge systems for founder-led teams that are buried in manual work, messy handoffs, and the same questions every week.
“Hi, can I book a follow-up appointment next Thursday after 4?” The request lands and gets picked up straight away.
Pulls out the service needed, preferred time, customer history, and anything the team should know before replying.
Looks for the right slot, places a hold, and drafts a reply before the lead drifts to someone else.
Writes the summary to the tracker so nobody is juggling inboxes, sticky notes, and spreadsheets.
Sends one clean approval message to the right person: confirm the slot, or suggest the next best option.
“We’re replacing our current setup next month. Can you handle SSO, approvals, and reporting across two teams?”
Pulls pricing, security notes, implementation details, and the right proof points from the docs.
Replies in plain English, spots buying intent, and keeps the conversation warm while the team sleeps.
Creates the lead, logs the key objections, and gives sales real context instead of a cold transcript.
Offers the right next move at the right moment: a demo, a pricing call, or a tailored follow-up.
Runs before the day starts, so the owner is not triaging five tools before coffee.
Pulls unread email, today’s calendar, CRM movement, and the Slack threads that actually need attention.
Turns scattered updates into a short morning brief: what matters, what slipped, and what needs a decision today.
Arrives in WhatsApp before the first meeting. Clear, skim-friendly, and ready in under a minute.
A shared assistant for sales and support teams that handles repeat questions, pulls the right docs, and shows where the knowledge base is breaking down.
Turns structured inputs into compliant customer replies with the right tone, the right checks, and far less manual drafting.
Reviews customer conversations at scale, scoring accuracy, tone, and resolution so teams can spot patterns without sitting through endless manual checks.
Lets business teams ask data questions in plain English, then writes, checks, and runs the SQL against documented company data.
Tracks business metrics back to their source and explains them in plain English, so stakeholders can get clarity without interrupting the data team.
I look for the work people repeat every week: chasing updates, rewriting summaries, answering the same questions, and stitching tools together by hand.
The best system is one people will actually use. I fit the workflow to the tools, habits, and handoffs already in place.
A workflow only matters if the result is better than the old way: a clearer brief, a faster reply, a cleaner handoff, or a report people actually read.
Every build comes with logic, documentation, and handover, so you are not stuck depending on one person to keep the system alive.
I build practical AI systems for founder-led teams that are tired of manual reporting, messy ops, and repeat questions.
I came up through analytics, operations, product, sales, and revenue work at SumUp. That means I do not start with abstract AI ideas. I start with the spreadsheet someone dreads opening, the handoff that keeps breaking, or the question the team answers ten times a week.
Most of what I build lives in the gap between teams and tools: reporting flows, internal copilots, admin automation, and lightweight systems that remove glue work without creating a giant software project.
Outside work, I play drums in Whirlpool, make electronic music in Ableton as Glan Suas, and spend a lot of time cooking, hiking, and trying to make a Berlin balcony behave like a tiny farm. Originally from Dublin.
Open to reporting systems, ops automation, internal copilots, and in-house AI roles for teams that want cleaner workflows and clearer answers.