Practical AI · For Non-Technical Business Teams

Make AI useful in the work your team repeats every week.

Your team has AI access. Aivelli teaches non-technical professionals how to put it to work: build simple agents, create reusable AI skills and automate suitable parts of recurring work. Through tested examples and guided practice, participants learn what is possible, what is relevant and how to apply the methods themselves.

Book a free 20-minute call See how it works ↓

Practical training. No technical background needed. Led by Lela Gagua, with 15 years in tech program delivery

The Problem

Turn AI access into practical AI capability.

71%Of respondents said they had received no AI training in the past year in Dayforce’s 2025 survey of nearly 7,000 workers, managers and executives.

Dayforce, 2025 ↗

See what becomes possibleAgents, reusable skills and simple automations offer new ways to handle recurring work. Concrete examples help teams recognize where these approaches could be useful.

Learn to do it yourselfA tested method gives participants a starting point they can repeat, adapt and evaluate as new tasks arise.

Practical AI use starts with a clear way of thinking: which work AI can support, which information it needs, where human judgment stays and how to check the result. Aivelli teaches your team that method through examples of recurring work: the status report rebuilt from scratch, the questions that keep coming after you sent it, the review round that flags the same issues again and the meeting nobody had time to prepare for.

The shift is learning to ask how could I approach this work differently with AI? Participants learn to recognize the possibilities and explore them independently.

The Change

What your team learns
to do differently

Before

After the training

People use AI occasionally or struggle to see where it fits.

Your team recognizes recurring work where AI can help and knows how to choose a suitable approach.

Knowledge sits across folders, documents and people’s heads.

They understand how to create a focused assistant from selected information and check its answers against the sources.

Prompts live in individual chats and disappear.

They know how to turn useful instructions and examples into reusable AI skills they can adapt to the next task.

Nobody knows whether an answer is reliable.

They can test an AI result, recognize missing information and decide where a person needs to check or take over.

People struggle to turn a new idea into something they can try themselves.

They have a repeatable method for trying simple agents and automation examples, with the judgment to recognize when technical help is necessary.

AI adoption is “someone else’s job.”

In the Champions Program, colleagues develop the AI knowledge and teaching skills to lead internal learning and support wider adoption.

How it works

4 steps.
Learn the method. Make it your own.

Understand where AI helps, see tested examples, practice the methods and learn how to apply them independently.

Recognize the work AI can support

We teach people to spot suitable applications in repeated work, information searches and shared knowledge. They learn what makes an opportunity useful and when an approach becomes unnecessarily complex.

Understand what makes it work

We explain the information, instructions and checks behind a useful agent or automation. Participants learn how to set boundaries, recognize gaps and keep human judgment in the process.

Practice with tested examples

We demonstrate selected methods. Participants use provided practice material to create their own versions and understand the choices behind them. Exercises follow an agreed tool and feature set.

Apply the thinking to the next task

Participants learn how to adapt a method, test the result and decide where it belongs in their own work. They leave with reference material and a more practical understanding of what they can do themselves.

What your team learns

Where AI can change
the way you work

Delivery teams, marketing, finance, operations and PMOs: different work, similar recurring problems. These examples show the kinds of applications participants learn about. We teach a selected set of tested methods and how to adapt them; the examples use provided practice material.

📊

The executive status report

The problemTeam leads spend hours every week assembling the same update from chats, decks and trackers, starting from a blank page each time.

What you learn to doLearn how to create a reusable skill that turns a set of inputs into a first-draft status in a defined format, with checks before anyone uses it.

💬

The questions that come after you send it

The problemThe report goes out and then you spend the week answering questions about it, at every level of detail, 1 stakeholder at a time.

What you learn to doLearn how to create a focused assistant that answers recurring questions from selected information and makes gaps in that information visible.

✅

Apply your standards before the review

The problemThe same reviewer flags the same issues in every draft and you find out after you sent it. Quality depends on who reviews and when.

What you learn to doLearn how to capture review criteria in reusable instructions so AI can flag likely issues before submission. Final judgment stays with the responsible person.

🗓️

Prepare for the questions that matter

The problemRecurring meetings start with 20 minutes of reconstructing what was decided last time and the hard question still arrives unprepared for.

What you learn to doLearn how to create a preparation assistant that draws on previous decisions and notes, suggests likely questions and highlights what needs clarification.

🧠

Onboarding and “who handles this?”

The problemThe same internal questions land on the same few people. New joiners learn by interrupting them and finding the right owner takes a chain of emails.

What you learn to doLearn how to create an assistant that helps someone find answers and relevant contacts in a defined collection of reference material.

📥

The morning inbox

The problemThe 1st hour of the day goes to mail and the item that actually matters for today’s 10am is buried somewhere in it.

What you learn to doLearn how to use AI and simple automation methods to organize incoming information, prepare a prioritized briefing and identify actions. Features depend on the agreed tool and access.

Programs for organizations

2 ways to build practical AI capability

A focused day to learn what is possible and how to apply it. An annual program to develop internal champions who can teach colleagues and lead AI adoption across your company.

Start here

AI Adoption Day

1 focused day. Practical AI capability your team can keep applying.

Up to 20 participants · 1 day on site or 2 online half-days

Participants learn proven, practical approaches through a selected set of pre-tested examples: simple agents, reusable skills and ways to automate parts of recurring work. They practice the methods themselves and learn how to judge where each approach is relevant.

Recognize what becomes possibleSee how reusable skills, focused assistants and simple agents can support familiar work. Learn when each approach makes sense and what its limits are.

Create your own versionsFollow selected exercises using provided material. Give each resource a purpose, relevant information and clear instructions. Test it on more than 1 example.

Learn to adapt and evaluateUnderstand what to change for a different task, how to judge the result and when to involve someone with technical or subject expertise.

What participants take away

Practical experience creating their own versions of tested AI examples
A repeatable method for creating simple agents, reusable skills and suitable automations
The judgment to check results, recognize limits and decide what to try next
Reference examples and a new way of thinking about how AI fits into their work

Includes practice material, reference examples and a 1-page learning record. We agree a focused selection of exercises and the required tool features before the session.

Team proposal

Scope, delivery format and fee agreed in advance

Discuss the AI Adoption Day

Build capability across your company

Champions Program

Build a team of internal AI trainers and adoption champions.

Up to 12 champions · Annual program

Develop colleagues who can bring practical AI knowledge to the wider company. Through a dedicated course and regular refresher sessions, champions learn to use AI themselves, teach others and lead learning within their teams. They can join with no prior AI expertise.

Develop practical AI capabilityA specially designed course develops an understanding of AI, its applications and its limits. Champions practice tested methods for agents, reusable skills and suitable automations, with the judgment to assess the results.

Learn to teach and guide colleaguesChampions learn how to explain AI clearly, demonstrate useful methods and run practical learning sessions. They practice helping colleagues take their first steps and recognizing when a question needs an internal specialist.

Stay current through AI refresher sessionsOnline sessions every 2 months cover relevant tool developments and new ways to apply AI. Champions learn what has changed, practice selected methods and consider what to bring into their own teaching.

Learn from experience across the companyChampions bring examples, obstacles and questions from their internal sessions. We use selected cases during the refresher sessions to deepen understanding, improve how they teach and help them guide further learning.

What your company gains

Internal champions with practical AI knowledge and the skills to teach colleagues
A way to spread learning through sessions and demonstrations champions lead across teams
Regular opportunities to refresh AI knowledge as tools and methods develop
Champions who can address learning barriers and guide responsible AI use

We agree the core course format and annual session schedule in your proposal. Your organization gives champions time to teach colleagues and owns its AI decisions and implementation.

Annual company proposal

Course, refresher sessions and fee agreed in advance

Discuss the Champions Program

Speaking for leadership teams and professional audiences. Lela makes practical AI use tangible through clear explanations and demonstrations.

Discuss a speaking engagement

AI literacy

Evidence your organization keeps

Every AI Adoption Day includes a 1-page learning record: who took part, the topics covered and the exercises practiced. It documents learning about AI capabilities and limits, responsible information handling and checking results.

Organizations can keep training records as part of their AI-literacy measures. Your organization determines what further measures its context requires. European Commission guidance on AI literacy ↗

Aivelli does not certify compliance and does not give legal advice.

Who delivers

Led by Lela Gagua

Founder of Aivelli. 15 years of experience in tech program and project management.

Connect on LinkedIn →

When AI reached the workplace, Lela watched the same gap open everywhere: teams had access to tools and scattered experiments. They needed a practical method for applying AI to the work they understood.

Aivelli exists to close that gap, on a founding belief: good AI work comes from knowing exactly where it fits in the work your team is already responsible for.

Every program teaches people how to recognize suitable applications, understand tested methods, practice them and judge the results. The aim is a lasting shift in how they approach work: considering where AI can help from the start and knowing how to explore that possibility themselves.

Fit check

Is this for you?

A strong fit

Your team has access to an approved AI tool and wants to use it more effectively.
Recurring work eats real hours every week: reporting, inbox handling, meeting prep, reviews, the same questions answered again and again.
You want people to learn practical methods they can apply independently and you want that capability to stay in your team.

Outside the training scope

Workflow audits, custom solution design or an implementation plan for your organization.
Building or deploying agents and automations in your company systems.
Account administration, integrations, permissions or individual technical troubleshooting.
Responsibility for your organization’s rollout, ongoing use or business results.

FAQ

Frequently asked questions

Is this AI training?

Yes. Aivelli teaches non-technical professionals practical ways to use AI: simple agents, reusable skills and suitable automation methods. We demonstrate tested examples, explain what makes them work and give participants a structured way to practice and adapt them. The focus is capability they can keep applying.

Which AI tools do you teach?

We agree the teaching tool and required features before the program. Examples may use Microsoft Copilot, ChatGPT, Claude or Gemini. Your organization confirms participant access. The selected exercises follow that agreed setup.

Do we need technical people involved?

Participants need no technical background. Your internal support team handles access, licenses and permissions before the session. Aivelli teaches the methods through prepared examples and practice material.

What will participants leave with?

After the AI Adoption Day, participants have practiced selected AI methods, created their own exercise examples and learned how to adapt and evaluate them. They keep the reference material. The Champions Program develops both practical AI capability and the skills to teach colleagues. Champions learn to lead internal sessions, demonstrate methods and help learning spread across the company.

How does the Champions Program support wider adoption?

Aivelli trains the champions, who then teach colleagues through internal sessions and practical demonstrations. A dedicated course develops their AI knowledge and teaching skills. Online refresher sessions every 2 months introduce relevant developments and address selected learning challenges champions bring from their teams. Your organization provides time and opportunities for champions to teach; it retains responsibility for technical support and implementation.

Do we need to bring company data or a workflow?

No. We provide practice material and select teaching examples relevant to the group. Participants can use their knowledge of their roles to consider future applications. The training does not require us to inspect your company documents or analyze your workflows.

Will you build an agent or automate a workflow for us?

Aivelli teaches participants how to create and use these capabilities themselves. We demonstrate tested examples and explain the method. We do not analyze, build, deploy or fix your company workflows or AI systems. Your organization owns any subsequent application and implementation.

What if participants get different results?

AI results can vary. We teach participants to check whether an output meets the exercise’s purpose and criteria, then use the reference example to understand the method. We address learning questions during the session. Individual account, setup and technical troubleshooting sit with your internal support team.

What do you need from us?

A sponsor, the participant group and access to the agreed AI tool and features. We discuss the teaching setup before the program. For the Champions Program, select up to 12 colleagues with an interest in AI, a willingness to teach and time to lead learning within the company. Prior AI expertise is optional.

Is delivery online or on site?

The AI Adoption Day runs as 1 day on site or 2 online half-days for up to 20 participants. The annual Champions Program supports up to 12 champions. We agree the core course format in the proposal; refresher sessions take place online. On-site delivery is available by arrangement. We bill travel and accommodation at cost.

Ready?

Find out in 20 minutes.

On the call, we discuss your team, their experience with AI and what you want them to learn. You leave with an honest answer: whether the training fits, which program to start with and what it includes. If it does not fit, you hear that on the call.

Book a free call

20 minutes No technical background needed Straight answer, either way

Not ready to book?

An occasional note on what actually works with AI inside real teams. Unsubscribe anytime.

Quick Links

Legal

Contact

in**@*****li.com