Most AI advice comes from people who learned AI first, then learned business. We did the opposite — twenty years building companies, then deep into AI. That sequence is the point.
Regardless of the client, the sector, or the size of the engagement.
We don't implement AI because it's available. We implement it when it solves a real problem for a real team. If the diagnosis says no, we say no — no upsell, no justifying the engagement.
Our question for every engagement: what does this do to the people on the other side? Automation that damages the customer relationship is not a business win, regardless of the cost savings on paper.
Enthusiasts don't scale. Managed systems do. We build for the team that exists — not the ideal team in the slide deck — and we measure whether it changed anything.
AI made building cheap. It did not make selling easier, nor did it make customers more forgiving. If anything, the opposite: your competitors ship faster, your customers have more options, and the gap between "we built it" and "it works in the market" has never been wider.
That gap isn't a technology problem. It's a sales problem and a customer experience problem.
That's the gap we close. Between us, we've spent twenty years doing exactly those two things — at scale, with P&L on the line, in businesses where if the customer didn't come back, there was no business.
Teet owns the sales side. Carlsberg, Saarioinen, HKScan — full P&L responsibility in three of the most operationally demanding sales environments in the Nordics. Then his own company, built and exited at €3.6M valuation (2022).
Kati owns the customer side. A rebrand that led to an exit (Boost Yourself → Shroomwell). A licensed methodology now run by 40+ practitioners. 450+ organisations trained on adoption, which is just another way of saying getting humans to actually use the thing. Built and ran an EAS-recognised guesthouse and training venue ("Real and Interesting Estonia"). Earlier, served as development manager for an organic restaurant group.
That's the firm. Sales and customer experience, in an era where everyone can build but very few can land.
By late 2022, while most companies were still deciding whether ChatGPT was a toy or a threat, Kati and Teet were finishing Boosting Loyalty — published 2023, structured around their 5-step Permanent Connection Model for digital marketing automation in e-commerce, with 70+ AI prompts built into the workflow.
At the time, Teet was a board member of the Estonian E-Commerce Association and a digital marketing lecturer at TalTech. Kati was a customer psychology advisor and former lecturer in self-management at the Estonian Academy of Security Sciences, with 20 years of experience in hospitality and customer experience.
The point: they came to AI through running customer-facing businesses, not the other way around. That sequence is why the methodology holds up under operating pressure — when an actual team has to use it on Tuesday morning.

Mentors, partners, and stages where we work.















The job he's been doing for twenty years: making sure things sell.
In the AI era, that job got harder, not easier. Pipelines are noisier. Decision cycles are longer. Customers are more skeptical of "AI-powered" anything. Teet was carrying revenue numbers long before any of that was true — which is exactly why his read on what works now is sharp.
Teet is the commercial reality check. Does this AI implementation actually drive revenue, or just shift work around? He pressure-tests the sales motion, the pricing logic, the retention math, and the operational handover the way a CCO reads a quarterly forecast. If the numbers don't work, he says so before the build starts.
The job she's been doing for twenty years: making sure people actually want to come back.
In the AI era, customer trust became a scarce resource. Anyone can ship. Far fewer can ship something a customer keeps using on day 30, day 90, day 365. Kati has spent two decades on exactly that question — first in hospitality, then in brand and rebrand work, now in AI adoption.
Kati is the human reality check. Will the team actually use this? Will the customer feel respected? Does the experience hold up on a bad day, with a tired employee and a frustrated user? She designs the adoption layer — training, change management, customer-facing experience — that determines whether an AI implementation lands or quietly gets abandoned in month three.


Co-directors of AI Salon Porto — building an EU-wide network of operators, investors, and innovators. Mentors at Kiuas Accelerator, European Innovation Academy, and STEM Innovation Center.
A ninth-grader with Lovable can build your MVP. They cannot run your sales motion. They cannot redesign your customer journey. They cannot stand in front of your team on Monday and explain why these changes affect how Tuesday works.
That's the firm. That's the engagement. That's why we're two.
No upsell, no justifying the engagement. If the diagnosis says stop, we say stop. We'd rather lose a deal than build something that doesn't hold.
Tools that aren't secure aren't tools. We partner with your technical team from day one — architecture reviews, security sign-off, proper handover.
We define success metrics before we start. If we can't measure it, we don't promise it. You get a dashboard, not a deck.
No assistant, no account manager. When you reach out, you talk to Kati or Teet. You leave with 3 prioritised opportunities, key risks, and a clear next step.
Send us a messageNo commitment. No sales deck. If AI isn't the right first move, we'll tell you.