We dig into how your business actually runs, pinpoint exactly where AI delivers real returns, and put it in place. Then we train your team to make the gains permanent. Our clients recovered 2 hours per person, per day, in their first week.
No slide decks and no generic AI frameworks. Understanding how a business really runs takes structured work, so that work is the product. Every engagement follows the same three stages and includes basic AI training for your team, compliance documentation, and specific training for each solution we put in place.
A free 30-minute conversation, not an analysis. You tell us where the friction is, we ask sharp questions, and we both decide whether a full audit is worth your time.
Our core engagement. We go department by department through your real workflows and put a number on every opportunity we find.
We build the chosen tools into your business, deliver both basic AI training and training specific to each solution, prepare your compliance documentation, and stay involved until the gains are real.
We don't walk away after setup. Every engagement includes hands-on training that turns new tools into lasting habits, plus the compliance documentation to keep you protected as you grow.
Practical, role-specific training that changes how your people actually work. The results stick because your team leaves with new habits, not just access to new tools.
Written by consultants who know the law, not templates from the internet. You get documentation that satisfies your obligations, including under the EU AI Act, so a regulator's question never catches you off guard.
Here's what teams across accounting, legal, marketing, crypto and tech say happened after working with us.
"The hours we recovered in the first month more than covered the full engagement. For an accounting firm, that math is easy. OptimAIze paid for itself before we'd even finished onboarding."
"After literally one week of working with the team at OptimAIze, we were saving roughly 2 hours per day per person. They were invaluable, both in the implementation and in the training."
"The efficiency gains were real, but what surprised us most was the team's responsiveness. Less time grinding through repetitive work meant more room for actual thinking, and the quality of that thinking went up noticeably."
"OptimAIze built AI workflows that match the pace of crypto. Compliance is tighter, communications are sharper, and our team hasn't looked back."
"We expected better templates. What we got was a team that actually changed how we think. The training sessions were where the real value was."
"We build AI products, so we assumed we had AI figured out. Turns out there's a real difference between building it and using it well internally. OptimAIze showed us the gap and closed it."
"We recovered 10 to 15 hours a week across the team from the first round of changes alone. In consultancy, those are billable hours. OptimAIze found them and handed them back."
"The expectation was faster processes. What we didn't anticipate was how much cleaner the output would be: fewer errors, tighter documentation, and a compliance record we're genuinely proud of."
"The templates were useful on day one. But the training is what stuck: our team came out of it thinking more systematically about their time, their output, and how they work."
"What stood out wasn't just the work, but how available the team was throughout. Questions got answered fast, adjustments were made without friction, and it never felt like we were waiting on anyone. That kind of responsiveness is rare."
Nobody can understand your business in a 30-minute call, and anyone who claims otherwise is selling you a template. That's why the audit is a structured engagement in its own right: we go inside your actual operations, department by department, and come back with findings you can act on.
Stakeholder interviews, document review, and time inside the workflows themselves: how work actually moves between your people and tools, not how the org chart says it does.
The output isn't a vision deck. It's a gap analysis and a prioritised roadmap where each opportunity carries an estimated cost saving or hours recovered, so you can rank them yourself.
The audit stands on its own. Take the roadmap and execute it with your own team, or have us stay on for implementation and training. There's no lock-in and no dependency by design.
We won't pretend to understand your business in half an hour; that's what the audit is for. The intro call is simpler: you tell us where the friction is, we ask sharp questions, and we both decide whether an audit is worth your time. The call is free, with no obligation either way.
Book your intro callGeorgi and Stefan co-founded OptimAIze on a shared conviction: AI adoption fails when it's treated as a tech project. It succeeds when it's treated as a business problem, with clear targets, real accountability, and someone who stays until it works.
Georgi co-founded OptimAIze to close the gap between what AI promises and what businesses actually get from it. With a background in business development, project management and legal practice, he treats AI adoption as an operational problem first and a technology choice second.
He works hands-on. Every engagement begins inside the client's real processes: the documents, the tools, the daily routines. From there, he builds a prioritised roadmap with specific cost and productivity targets, and stays involved through implementation, training and documentation until the results are real.
That legal background is what separates OptimAIze from the typical AI consultancy. Alongside tools that work, you get the Responsible AI policies, risk assessments and AI registries that regulators expect, including under the EU AI Act, so there's no scrambling when the questions come.
Stefan co-founded OptimAIze to make sure the tools we recommend actually get used and move the numbers, rather than sitting installed and forgotten. He brings over a decade of product management and business analysis experience, most recently as a Senior Product Manager at UKG, where he shipped enterprise software to large, process-heavy organisations.
Where Georgi maps the legal and operational ground, Stefan focuses on the workflows themselves: how a process really runs, where the friction is, and which changes will hold once the consultants leave. He brings the discipline of agile delivery to every engagement, with clear priorities, measurable outcomes and short feedback loops, because change that doesn't stick isn't change at all.
Stefan is a graduate of TUES (the Technology School Electronic Systems in Sofia, Bulgaria's most selective technical high school) and later studied psychology at the University of Salford. That combination of rigorous systems thinking and an understanding of people shapes how we handle adoption and training. People don't resist good tools; they resist being left behind. We make sure nobody is.
We recommend AI where it demonstrably cuts costs or recovers time, and nowhere else. If the honest answer is "this won't pay back", that's what you'll hear. We'd rather lose a sale than waste your budget.
Your legal obligations are part of the plan from day one, not an afterthought once a regulator starts asking questions. You stay covered as you grow instead of scrambling to catch up.
The best AI implementation in the world fails if the team doesn't buy in. We train your people until the new way of working feels natural, because tools that collect dust don't deliver ROI.
Clear thinking on where AI delivers real value, what compliance actually requires, and how to make adoption stick, written for business people rather than engineers.
Anthropic marked Claude's output on the day Article 50 became enforceable. Nine days later a removal tool hit 10,000 GitHub stars. But the EU's Code of Practice had already conceded the underlying point.
Read article →High-risk obligations slipped to 2027, a Munich court held that offshore AI training can infringe in Germany, and the EDPB asked Brussels to re-examine EU-US transfers.
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