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.
Practical AI systems that handle lead capture, scheduling, customer interactions, reporting, and competitive intelligence — built to run quietly in the background while you focus on the work that matters.
Engages website visitors instantly, answers their questions, captures contact details, and qualifies each lead before routing it to you via email or Slack.
Handles appointment scheduling through natural conversation, checks real-time availability, confirms bookings automatically, and manages rescheduling without manual back-and-forth.
A multi-module chatbot with smart intent routing, full conversation memory, CRM and calendar integration, analytics, and human escalation built in.
Connects to your CRM, analytics, and sales data, analyses performance patterns, and delivers a clear weekly report with trends, missed opportunities, and actionable recommendations.
Tracks competitor websites, pricing pages, reviews, and social channels automatically, then delivers regular reports covering pricing changes, new services, customer sentiment, and market gaps.
No guesswork. Here is exactly how we go from our first conversation to a deployed system that saves you hours every week.
A 30-minute discovery call where we unpack your biggest bottlenecks, repetitive tasks, and operational headaches.
I deliver a no-obligation report detailing the exact automations, tools, and expected ROI for your specific business.
If you want to move forward, I build the systems and integrate them directly into the tools your team already uses.
We continue working together on a retainer to provide support, updates, and continuous improvements to your systems.
These are illustrative scenario views of how a system behaves once it is wired into the tools a team already uses. They are here to make the mechanics legible, not to imply off-the-shelf products.
“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 few representative systems I have built for teams that needed faster answers, cleaner handoffs, and less operational glue work.
A natural-language analytics workflow that lets commercial teams ask business questions in plain English, then turns those requests into checked SQL against documented company data.
Analysts were losing time to repetitive reporting requests while non-technical teams still had to wait for straightforward answers.
Created a guarded NL-to-SQL flow with model context, query checks, and documented table logic so teams could ask better questions without bypassing data discipline.
Saves 16 to 20 hours of analyst time each month and gives commercial teams faster answers without creating a parallel BI process.
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.
Tracks business metrics back to their source and explains them in plain English, so stakeholders can get clarity without interrupting the data team.
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.