The people behind Practical AI

A core team with business and AI experience.

Get to know the people behind the program. We combine business training, AI implementation and commercial experience around the work your team wants to improve.

One shared method

We start with a recurring task and the people responsible for it. Together we map an AI step, practise on a representative example, review the output and document a next test for normal work.

A team around the task

Program roles follow the team's needs, tools and workflow. Practical AI coordinates the learning design, working sessions and review so each group has a clear path from its first task to a practical next step.

The core team

Meet your Practical AI team.

Danil is your first contact. Our core team brings business training, AI implementation and commercial experience into the work with your people.

Danil Usik
Founder · Business training

Danil Usik

10+ years in B2B sales and business development, with experience in team facilitation. Connects your business priorities with practical AI learning.

LinkedIn
Svetlana Galakhova
AI strategy · Hands-on practice

Svetlana Galakhova

AIHUB.WORKS co-founder and AI implementation practitioner. Turns complex AI concepts into clear workflows and leads hands-on practice.

LinkedIn
Julia Krylova
Marketing · Business development

Julia Krylova

Experience across fintech, blockchain and e-commerce, including marketing, fundraising and investor communication. Brings a commercial perspective to the team.

LinkedIn
How the learning works

From a team task to a reviewed way of working.

Every program connects a business task, an AI step, human judgment and a practical next action.

01

Choose a task

Name the process owner and the result the team needs.

02

Design a workflow

Define inputs, approved tools and the expected output.

03

Review the result

Use clear quality criteria and human judgment.

04

Keep what works

Document the pattern and choose the next test.

Example weekly team update: meeting notes, action items and CRM status become an AI draft; a manager checks figures, context and owners before sharing it.
ShildPanel · 5 participants

What changed in one team’s daily work.

Five ShildPanel leaders applied AI to four different work tasks. Each figure below describes a reported change in task time in that case.

Explore the team case and participant quotes →
“Now I have a playbook I can hand to my team to put into practice.”
Alexander · Operations Director
Program formats

Choose the right starting pace for your team.

Large company AI learning session in an auditorium
01 · One day

Company AI Lab

Company-wide teamsUp to 150 people

A company-wide introduction to practical AI through tasks from different teams.

  • Examples from several functions
  • Guided practice on familiar tasks
  • A shortlist of use cases to take forward
Discuss a company lab ↗
Small leadership group reviewing a management workflow
02 · One week

AI Leadership Sprint

CEO & leadership teamSmall group

A focused sprint for the CEO and leadership team around one management workflow.

  • Choose a leadership priority
  • Test one AI-supported process
  • Leave with a pilot plan and review criteria
Discuss a leadership sprint ↗
Middle managers working together in an AI practice workshop
03 · Four weeks

Middle Management Program

Middle managersAround 15 people

Applied AI practice for managers across functions and working weeks.

  • Work on recurring tasks between sessions
  • Review results across teams
  • Build a shared management playbook
Discuss the manager program ↗
Start with a conversation

Let’s find the right AI starting point for your team.

Share your team size, a recurring task and the timing you have in mind. We’ll discuss your priorities and tools, then choose a training format together.

Danil Usik
Danil UsikFounder · your first contact
Message Danil on WhatsApp ↗