# AI? We stay curious. There is work that needs a person. And work that just needs to get done. We help you figure out which is which. So your people have more time for what people are genuinely good at. There is a job in your company nobody should be doing. We build the thing that does it instead. ## Four people. Rather a lot of colleagues. Whatever can be automated, we automate ourselves too. That leaves more time for what people do best: listen, understand, decide and shape. - Ann-Christine Vossberg-Straw — systems & discovery - Pasqual Vossberg — product & delivery - Jenny Korzun — brand & communication - Alex Oleshkevich — technology & architecture we start with questions - What's annoying? - What do you do over and over again? - Where would you love an assistant — someone you just hand it to and never think about again? - What gives you a stomachache before you've even started? - Where do the same mistakes keep happening? - What eats up time even though it should be simple? - What does nobody actually want to do? - Where does information get lost? That's exactly where we get curious. ## Others explain AI. We build the process that takes tomorrow's work off your hands. **Focus** — We look for the places where good people get slowed down: tedious work, postponed tasks, repetitive processes, and the things nobody wants to do. > No AI consulting call. No chatbot. No dashboard. No new app. **Solution** — There, we build AI assistants that use your existing tools and take over or prepare concrete work. So people get back to the work that actually moves their organization forward and makes it stronger. ### Where does work get stuck for you? Not every good AI idea starts with a new tool. It often starts with a place where work keeps getting stuck. - An inbox nobody sorts properly. - A list that is always updated too late. - A document that has to be checked every single time. - A handover where context gets lost. - A decision that has to wait because the groundwork is missing. We look for that friction. Then we build assistance right there: small, concrete, and with the tools your team already uses. ## You already know what it is. It is almost always one of these. | | what AI assistance does | what changes | |---|---|---| | Finance | Matches invoices to purchase orders, reconciles them daily. | Your team sees the exceptions. Nothing else. | | Sales | Scores inbound against your criteria, drafts quotes from your price list. | The lead is qualified and the quote is written. | | Support | Reads every message, routes it by your rules. | Every ticket lands right, in any language, in seconds. | | Operations | Checks each document against your list. | Nothing gets skipped because it was Friday. | | Reporting | Builds the weekly report and sends it. | Monday morning, already sent. | ## Questions ### Somebody from Curious called me. Then you are checking whether we are real. This page is the answer, and the four names above are the whole company. ### Why should we trust you? You should not, yet. Take the free thirty minutes and judge the written answer. ### What if it gets something wrong? It stops and asks a named person. Being wrong quietly is the failure we design against. ### Do we need clean data first? No. The mess is the job. ### Who owns it? You do. Your repository, your infrastructure, nothing to license. ### Why not just hire a developer? A developer builds what you specify. Here the hard part is the specification. ### We already have people doing AI internally. Good. We take the process nobody has had time to finish. If your team has the time, do not call us. ### You are a small team. Yes. Four. You will meet all of them in week one. ### Our process changes every few weeks. Then it is a bad fit, and we will say so on the call. ## Maybe one of these is yours. Eight kinds of stuck work that look the same in almost every company. Open one to see what fits AI assistance — and what stays with your team. ### Shift schedules - what gets stuck: Availability, absences, qualifications, locations and last-minute changes live in different heads, chats or lists. - what AI assistance prepares: Collects constraints, detects conflicts, drafts a plan, marks unclear cases. - what stays human: Fairness, final approval, exceptions, relationship decisions. ### Monthly billing - what gets stuck: Hours, expenses, surcharges and edge cases for monthly and final billing come from different sources and get merged by hand. - what AI assistance prepares: Pulls the numbers together from the sources, checks them against the rules, marks what needs a human look. - what stays human: Approval, edge cases, the conversation when something does not add up. ### Inbox & requests - what gets stuck: Requests, complaints and internal messages land in one inbox, and someone has to decide by hand what comes first. - what AI assistance prepares: Reads every message, sorts it by urgency and topic, drafts a first reply. - what stays human: The tone on sensitive cases, the final call, what is allowed to wait. ### Lead list - what gets stuck: New enquiries, old contacts and open follow-ups sit side by side, with no clear read on who comes next. - what AI assistance prepares: Sorts the list by recency and likelihood, suggests the next calls to make. - what stays human: The call itself, the tone, the decision who makes it. ### Spreadsheet reconciliation - what gets stuck: The same information sits in several spreadsheets, written slightly differently, and nobody is sure which version is right. - what AI assistance prepares: Reconciles the spreadsheets, flags the discrepancies, proposes a cleaned-up version. - what stays human: The call on which version is right when the sources disagree. ### Handovers - what gets stuck: What one shift knows does not fully reach the next — context gets lost between team, office, site, workshop or practice. - what AI assistance prepares: Summarises the state, gathers open points, prepares a clean handover. - what stays human: The conversation on complex cases, responsibility for what gets handed over. ### Document checks - what gets stuck: Every document has to be checked against the same list, and the check eats time without being hard. - what AI assistance prepares: Checks each document against your list, flags what is missing or off. - what stays human: Judging the exceptions, the final sign-off. ### FINMA documentation - what gets stuck: Regulatory documentation has to be complete, current and traceable, and checking that by hand costs time every week. - what AI assistance prepares: Checks the documentation against the requirements, flags gaps, keeps the audit trail. - what stays human: The professional judgement, the signature, accountability to the regulator. ## What we hear, before and after. Not quotes from named clients — the lines that keep coming up, before a project starts and once it's underway. - Before: We know this could be easier. We just don't know where to start. — After: We found the one process worth fixing first. - Before: Our best people spend too much time searching instead of deciding. — After: The searching is gone. That time goes into deciding now. - Before: We didn't want another tool. We wanted our own tools to talk to each other. — After: Nobody sold us AI. They found the one workflow that was slowing us down. ## What happens next - **Review** (30 minutes) — You describe one process, we say whether AI assistance fits it. A written answer either way. - **Scope** (Two weeks) — We map the exceptions your team handles and write the spec. - **Build** (6 to 10 weeks) — We build it, run it on real work, and hand it over. Code, docs, evaluations. Plenty of engagements stop after step two. The spec is yours either way, and you can take it to somebody cheaper. ### Tell us what is slow Describe one process that costs your team time. We will tell you whether we can help and how long it would take. - Email: inbox@getcurious.ch - Phone: +41 79 558 68 17 - Location: St. Gallen, Switzerland - Replies within one working day --- AI? We stay curious. · [Privacy](https://getcurious.ch/en/privacy/) · [Imprint](https://getcurious.ch/en/imprint/)