Most businesses have more AI potential than they realise - buried in repetitive workflows, disconnected tools, and knowledge locked in documents. We identify the highest-value opportunities, prototype fast and build production systems with evals, monitoring and guardrails. Practical AI that ships, not slide decks about AI.
Custom agents built on Claude, OpenAI or open-source models - with tool use, multi-step reasoning and human-in-the-loop checkpoints. Deployed as APIs, Slack bots, internal tools or customer-facing features, depending on where the value is.
Retrieval-augmented generation systems that connect your LLM to your actual data - docs, databases, CRMs, wikis. Built with proper chunking strategies, embedding models and hybrid search so answers are accurate, not hallucinated.
API integrations, webhook pipelines and n8n/Make flows that eliminate manual handoffs. We identify the tasks your team does repeatedly that don't require human judgement, then automate them properly with error handling and audit logs.
A structured discovery sprint across your workflows, data assets and current tooling. We map where time is lost, where decisions are routine and where knowledge is siloed. Output: a ranked opportunity register with effort-vs-impact scoring and a recommended starting point.
System design for the chosen use case - prompt architecture, tool definitions, data pipeline design and integration map. We define success metrics and failure modes before building. A lightweight technical spec is reviewed and approved before development starts.
Two-week sprints. A working prototype by end of week two - something your team can use and give feedback on. Production build follows with proper error handling, retry logic, rate limit management and a test suite (evals) that catches regressions.
Production deployment with a monitoring dashboard tracking task success rate, latency, error rates and cost. We run a team enablement session so your people understand how to work with the system, what it can and can't do, and how to flag edge cases.
We're based on Rua das Trinas in Lisbon and we like meeting clients face to face when it helps - but the work has gone out to 15 countries, and a good part of it is multilingual, because most of our clients sell into more than one market.
You get senior people only. No juniors hidden behind a project manager, no account handler relaying messages to someone you never meet. Robin has been doing this for over twenty years - senior roles at Cancer Research UK and MyVoucherCodes, and Search Marketing Account Director for Four Seasons Hotels across EMEA. In 2025 the studio took two Media Innovator Awards, including Best Digital Marketing Agency in Portugal.
The useful stuff is duller than the headlines: triaging incoming enquiries, drafting first-pass replies for a human to approve, pulling structured data out of documents, answering repetitive customer questions, searching your own knowledge properly. Things that quietly eat hours every week. If someone's pitching you an AI strategy without naming a specific task it removes, they're selling you a slide deck.
That isn't usually what happens or what we'd recommend. What works is removing the repetitive part of a job so people spend time on the part that needs a person. If you want to automate someone out entirely, we're probably the wrong studio.
Wherever you decide, and you should decide deliberately. Some tasks can run against a hosted model API; some shouldn't leave your infrastructure at all. We'll tell you which is which, and build it so you're not handing your client data to a third party by accident. GDPR isn't optional and neither is knowing where the data sits.
Because we measure it before and after. Hours saved, response times, error rates - whatever the actual task was. If it isn't doing better than the thing it replaced, it gets switched off. AI projects fail most often when nobody defined what success looked like.
Often not, and we'll say so. Plenty of businesses would get more from fixing their website or their analytics than from any AI project. We'd rather tell you that in the first call than take the money.
Tell us your most time-consuming repeated task. We'll come back with a realistic assessment of what AI can do about it.