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
Practical AI · for business teams
Corporate AI training built around your team’s real work.
Bring the reports, research or management tasks your team handles every week. We help participants build an AI workflow, check its output and document a playbook for the next working day.
Start with your team size and one task you want to improve.
What your team works through● Working model
01
Choose a real team taskStart with a repeatable workflow
02
Map the AI stepInputs, output and quality criteria
03
Practise and reviewUse agreed tools; a person checks the result
04
Take a next stepKeep a workflow card and a plan to test it
Visible output · a team workflow, review checklist and next test
Program formats
Choose the right starting pace for your team.
A company-wide day for up to 150 people, a focused week for a small leadership group, or four weeks of practice for around 15 middle managers.
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
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
Published team case
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.
ShildPanelProduction Company
Five leaders. Different daily work.
Operations · Business development · Marketing · HR · Management
Read what participants said →ShildPanel · 5 participants01 02 03 04
Four tasks. Four specific results.
Reports and presentations
Time to prepare a report and presentation
Before60 min
With AI12 min
Preparation time fell from one hour to twelve minutes.
Market and competitor research
Time spent researching markets and competitors
Reported result70% less time
The case reports a 70% reduction in research time.
ERP formula debugging
Time to debug formulas in the ERP system
Before9 hours
With AI15 min
One formula task took fifteen minutes instead of nine hours.
HR routine with voice input
Time spent on a daily HR routine
Reported result30 min saved / day
Voice input freed about thirty minutes each day.
In their own words
What the team said after putting AI to work.
Selected remarks from the ShildPanel team case. English translations of the original Russian comments.
“Now I have a playbook I can hand to my team to put into practice.”
“What we created is a tool I can now delegate.”
“Whisper is something I use almost every day. It’s great.”
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.
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
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
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.
LinkedInHow 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.
Choose a task
Name the process owner and the result the team needs.
Design a workflow
Define inputs, approved tools and the expected output.
Review the result
Use clear quality criteria and human judgment.
Keep what works
Document the pattern and choose the next test.
Practical guides
Answers for the people choosing AI training.
Corporate learning
How to prepare a team for AI training
Start with roles, workflows and review standards.
Read guide ↗Project teamsAI workflows for project managers
Meetings, updates, risk reviews and human ownership.
Read guide ↗Finance teamsAI in finance work
Reporting, formulas and variance summaries with review.
Read guide ↗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.