metalaxis s.r.o. is a research-based AI adoption and remote management consultancy based in Brno, Czech Republic. We help small businesses, freelancers and remote teams across Europe decide what to drop, delegate or hand to AI, drawing on EU-funded Erasmus+ research projects such as HIRER, RemWork4SMEs, AITRaIN and THRIVE.
Most small businesses don’t need an “AI transformation”. They need to stop doing the wrong work, hand off the right work, and use AI where it really helps. That is what our delegate-first method is for.
It grew out of our earlier Digital Transformation Roadmap and our DelegateFirst training for solo owners, and it is shaped by our EU research projects on remote work and AI skills. We have updated it for the way small teams use AI today.
What is the delegate-first method?
Delegate first is metalaxis’s method for adopting AI without chaos. You do a business reality check, map your weekly work, sort each activity into drop, delegate, automate with AI or do, then move it step by step and review. AI is one of four answers, not the default one.
How do I start using AI in my small business?
Don’t start with a tool. List what you and your team do in a normal week, find which work earns the most, and sort every activity into drop, delegate, automate with AI or do. Then run one or two small pilots with a clear measure of success before you scale anything.
Step 1: Do a business reality check
Before talking about tools, we look at where your money really comes from. List your income streams, estimate the hours each one takes, and work out what each earns per hour. This is often the first surprise: the work that brings in the most money is not always the work that pays best per hour.
You get: a clear picture of which income streams to grow, fix or drop. You can do this yourself with our free tools.
Step 2: Map what you actually do
Next we map the activities behind your main income stream: the processes, the daily tasks, and the tools and apps you use. For a team, we do this with the people who do the work. We track a normal week, because memory is a poor time tracker.
You get: an activity list with the time each activity takes.
Step 3: Sort every activity: drop, delegate, automate, do
We rate each activity on value for the business, value for your clients, the skill it really needs, and how you feel about doing it. Then each one goes into one of four lists:
- Drop: low value for the business and the client. Stop doing it.
- Delegate: high effort, low skill. Give it to a person, a freelancer or a teammate.
- Automate with AI: repetitive, rules-based or writing-heavy work where AI can do the job or a first draft.
- Do: work that needs your unique skills or that you love. Protect it.
You get: your first three moves, ranked by time saved and risk.
Step 4: Move it step by step
We start with low-risk tasks and build trust before handing over anything important. For each task we write a short delegation brief: the job, the desired outcome, the inputs and tools, the time frame, and how we will check the result. The same brief works for a person or an AI assistant.
You get: working, documented workflows instead of one-off experiments.
Step 5: Review and grow
After a few weeks we look at what changed: hours saved, quality, and how people feel about the new way of working. Then we pick the next moves. As the business grows, the map is updated.
You get: a simple routine for improving how work gets done, without starting over every time a new AI tool appears.
Why “delegate first”?
Because AI is just one of the options. Some tasks should be dropped, not automated. Some need a person. And handing a messy process to AI only gives you faster mess. Sorting first is what keeps AI adoption calm, cheap and useful.
Where to start
- Solo owners and freelancers: try the free tools.
- Small businesses and remote teams: see our services or email us.
Frequently asked questions
Which tasks should I delegate to AI first?
Start with tasks that are repetitive, follow clear rules and are cheap to get wrong: drafting routine emails, summarising meetings, sorting inbox requests, turning notes into documents and preparing first drafts of reports. Keep work that needs your judgement or client relationships, and hand high-effort, low-skill work that AI can't do to a person.
Do I need an AI consultant for a small business?
Not always. Many owners can start alone with a time audit and free tools. An outside view helps when you don't know where AI fits, your team is resisting, or data and process questions are slowing you down. Pick someone who maps your work first instead of selling a tool.
What does an AI transition cost a small business?
It depends on scope more than on tools. Many first steps use subscriptions you already pay for, and the bigger cost is your team's time to map work, test and learn. Budget for a few small pilots first, measure the hours saved, and only then invest in bigger changes.
How do you manage a remote team with AI?
Agree in writing which tasks AI may help with, what data must never go into AI tools, who checks AI output and who owns each workflow. Use AI for summaries, documentation and handovers that remote teams struggle with, and keep regular human check-ins so people don't feel replaced or watched.
What are common mistakes when adding AI to a small business?
The most common ones are buying tools before knowing which tasks they should handle, automating broken processes, skipping a pilot, putting client data into AI tools without rules, and forgetting the team. Each one leads to more subscriptions and the same workload instead of real time saved.