Your team has AI. They are using about a tenth of it.
Find the gaps, train the team, automate what repeats.
- Companies advised
- 30+
- Teams trained
- 100+
- Hours saved for teams
- 2,000+
byRE is a trusted partner






































The same three problems, in almost every team
Output went up, everything sounds the same
AI defaults win when nobody sets the standard.
The team is prompting, not working
Tools got adopted, the workflow never changed around them.
One person carries it
Usually the founder. They become everyone else's bottleneck.
So we start by finding them
Everything after this is built on what comes out of it.
Knowledge assessment
What the team knows, and where confidence outruns practice.
Workflow mapping
Weekly processes, timed and marked where the hours disappear.
Stack review
What you pay for, what is used, what is missing.
Low hanging fruit
The shortest path from decision to hours saved, ranked.
One to two weeks. You leave with a written report and a ranked list.
AI trainings for teams
Leadership, people and HR, finance, marketing and creative. Each session runs on your own files and the work in your queue that week. Not a lecture: we map where it stalls, then build.
Why we work across functions
AI adoption rarely fails inside a team. It fails at the seams: marketing automates a step finance still does by hand, leadership buys a tool three teams already had.
So we train function by function, and keep the map of how they connect.
Leadership
AI direction for the leadership team
Decision support and reporting for executives
People and HR
Hiring and recruitment workflows
People operations and internal comms
Finance
Finance reporting and analysis
Contract, quote, and vendor review
Marketing and creative
Content engine rebuild
Campaign and performance workflows
Video and creative production
Brand voice and standards
How a training runs
- 1Scoping call
Which team we start with.
- 2Your material
Files a week ahead.
- 3Delivery
On site or online.
- 4Follow up
Weeks later, on what stuck.
Automate repeatable processes
Some work does not need training. It needs to stop being manual.
What we do
- Map two or three processes with volume and repetition
- Rebuild the flow with human checkpoints where judgement matters
- Build it where you already work, then hand over the documentation
Where we stop
- We build on automation tooling, not custom software
- Anything needing a development team goes to a partner, and we say so upfront
The processes this usually means
Reporting and recaps
Weekly reports drafted from the sources, queued for a human check.
Intake and triage
Briefs, requests, and leads sorted and routed to whoever owns them.
Research and monitoring
Competitor and mention tracking on a schedule, not on request.
CRM and data hygiene
Records updated and deduplicated without a monthly manual pass.
Two to four weeks per process.
Or run all three, ongoing
The same three on retainer, with someone accountable for whether the team is still using what was built.
- The three above, on retainer
- All three run continuously, as the work changes.
- Adoption follow through
- Someone checking it is still in use a quarter later.
- Stack decisions
- What you buy, what you drop, what the team standardises on.
- An internal owner
- One person on your side, built up to carry it.
2 days a month, advisory
Your team runs the work.
4 days a month, embedded
Inside your workflows, week to week.
6 to 8 week sprint, then retainer
Heavy first, lighter once it holds.
Who this fits
An AI hire costs a salary and takes months to find. This is scoped, priced, and finished.
NGOs
A full AI hire is out of reach. The reporting load is not.
Startups and scale-ups
Get the workflow right before you scale headcount around it.
SMBs and corporate
Where rebuilding the process beats buying another tool nobody opens.

Vladislav Nosikov
Business Consultant and Marketing Practitioner
About
- Business consultant, marketing practitioner, and the founder of byRE.
- Runs live client engagements across marketing and business operations, so the training comes out of current practice rather than theory.
- Advises companies on where AI belongs in their work, and where it does not.
- Delivers every engagement on this page himself: the gap analysis, the training, the automation builds, and the fractional work.
- Nothing is handed to a junior team once the contract is signed.
- Works in English and Bulgarian, on site or remote.
Questions you might have
Let's see if
this fits
Tell us what your team does and what you want changed. We will come back with which of the three fits, or if none do.
Location
Sofia, Bulgaria



