Make Copilot useful in the work your team repeats every week.
Your team has AI access. Aivelli turns it into AI adoption: working Copilot agents and workflows, built live with your team on your real work. Your people learn to build agents themselves, and everything we build stays yours.
AI access is not the same as AI adoption.
20-30%Independent adoption surveys put weekly active use at 20-30% of paid Copilot seats.
5%Gartner found that only 5% of Copilot pilots scaled into production in 2025.
71%Of workers say they received no AI training in the past year (Dayforce, ~7,000 respondents).
14 min / dayThe upside is just as documented: among active, trained users, Microsoft’s data shows around 14 minutes saved per day, with 70% reporting higher productivity.
The distance between the last number and the first ones is an operating model: which work Copilot takes over, which sources it can trust, where human judgment stays, and who owns the result. A license rollout does not define any of that. Aivelli defines it with your team, on the recurring work that eats your week: the weekly status report rebuilt from scratch, the questions that keep coming after you sent it, the review round that flags the same issues again, the meeting nobody had time to prepare for, and the new joiner who learns by interrupting your best person.
What changes after an
Aivelli engagement
4 steps. Built live,
with your team.
Pick the work worth improving, set the rules, build it together, then make it part of the team’s normal rhythm.
Choose the work worth improving
We start where your team loses time: repeated work, endless searching, dependence on 1 or 2 people. Together we pick the problems that are big enough to matter and contained enough to fix.
Prepare the information and rules
We identify the documents and knowledge each workflow should draw on, agree what Copilot handles on its own, when it must say “I can’t find that in the approved sources,” and where a person verifies before the output is used.
Build it, live, with your team
We build what the work needs: Copilot agents, source-grounded assistants, and reusable instruction sets, built on the documents and sources your team already owns. Where the work calls for deeper automation or system integrations, we scope that with your IT. Every participant leaves able to build and adapt agents on their own. The capability stays with you, and that is the point.
Test, adopt, improve
We test on real questions and real examples, refine, assign owners, and make the workflow part of the team’s normal rhythm instead of a demo that is forgotten a week later.
The work we get asked
to fix first
Delivery teams, marketing, finance, RA and QA, PMOs: different work, the same recurring problems. These are examples of agents Aivelli has built and documented, ordered by how much time they give back. We make sure every engagement is designed around your team’s own work, and we design the workflows that work needs.
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.
The outcomeA first-draft status in your leadership format, built from approved sources in minutes. The hours go back to the person who was losing them, every week, not once.
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, one stakeholder at a time.
The outcomeStakeholders ask anything, at any depth, and get accurate answers grounded in the data, without coming to you.
Drafts that clear review the first time
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.
The outcomeAn agent that reads a reviewer’s past feedback and shows you what they will flag while you can still fix it, plus a consistent first pass on every document. Final judgment stays with the responsible person.
Meetings you are not blindsided in
The problemRecurring meetings start with 20 minutes of reconstructing what was decided last time, and the hard question still arrives unprepared for.
The outcomeA brief that reads past notes and your draft, predicts the questions attendees will ask, flags weak messaging, and tells you where to cut.
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.
The outcomeAn agent that lives on your project wiki, answers new joiners on its own, and settles “who handles X?” in seconds. New colleagues find their footing in days instead of weeks.
The morning inbox
The problemThe first hour of the day goes to mail, and the item that actually matters for today’s 10am is buried somewhere in it.
The outcomeA prioritized brief before you open the inbox: routine replies drafted for review, actions extracted, and the mail that affects today’s meetings flagged.
One method, 2 depths
Every engagement works the same way: we find the work worth improving, we build the solution live with your team, and we teach while your people build, so the capability stays with you. What changes is how deep we go and how much stays standing when I leave.
All programs run live online, or on site anywhere in Europe (travel and accommodation billed at cost).
AI Adoption Day
1 team of up to 12. 1 full day. Leave with running agents and the skill to build the next one yourselves.
We pick 1 real piece of your team’s recurring work, build the solution live, and every participant learns to build agents on their own work, with their own hands.
- Working agents, built during the day and running in your environment
- Every participant able to build and adapt their own agents
- Reusable instructions, prompts, and a simple team guide
- A written AI-literacy session record, per participant, covering how AI systems work and their limits, data rules, verification, and oversight, for your organization’s own records
- A written recommendation of what to build next, and what it would take
- A follow-up call 30 days later to review what stuck and what needs adjusting
Includes a preparation call to tailor the day to your team’s work.
30-Day AI Adoption Sprint
Turn 1 team into the proof that Copilot pays.
A build day proves an agent works. Thirty days prove a team works differently. The Sprint is a structured month with a defined outcome: the team’s highest-value workflows redesigned, in daily use, and measured on your own Microsoft 365 data.
- Workflows in daily use across the team, with named owners: adopted, never just demonstrated
- Adoption numbers, before and after, from your own Microsoft 365 data
- Every participant able to build and adapt agents on their own
- The full AI-literacy evidence pack (see below)
- An executive readout your leadership can act on, and a 90-day plan
We measure honestly: 30-day numbers show adoption and changed behavior; effects like hours back per week confirm over 60-90 days of real use.
For 1 team of 8-20.
Multiple teams, or something bigger? Tell us what you need and we will scope it in a written proposal.
Get in touchEvidence your organization keeps
Every engagement ships with an AI-literacy evidence pack: the systems and roles in scope, learning goals per role, training and guidance records, and what management decided next.
Under EU AI Act Article 4, organizations must take measures to support the AI literacy of their staff; this pack documents the measures your organization took, in a format you retain and can show. Whether those measures are sufficient for your context is your organization’s own judgment.
Led by Lela Gagua
Founder of Aivelli. 15+ years leading complex technology programs.
Connect on LinkedIn →When AI reached the workplace, Lela watched the same gap open everywhere: access to tools was growing, but structured application was not. Teams had licenses, experiments, and scattered enthusiasm. What they lacked was a way of working.
Aivelli exists to close that gap, on one founding belief: good AI work comes from knowing exactly where it fits in the work your team is already responsible for.
Every engagement is grounded in your real scenarios, designed for repeated use, and built on the Aivelli method: a tested workflow approach, a library of proven agent patterns, and the measurement framework behind every result on this page.
Is this for you?
A strong fit
- Your team has Microsoft 365 Copilot access, but usage is inconsistent.
- 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 by building on their own real work, and you want the capability to stay in your team.
Look elsewhere if
- You need a fully custom, multi-system enterprise build immediately.
- Nobody in the team can own the source information or participate in the build.
- You want an inspirational AI presentation without applying it to real work.
Frequently asked questions
Is this Copilot training?
Do we need technical people involved?
How fast do we see results?
What do you need from us?
Will you build a Copilot agent for us?
How do you handle accuracy?
Is delivery online or on site?
Find out in 20 minutes.
On the call, you describe the recurring work that eats your team’s hours. You leave with an honest answer: whether this fits, which option to start with, and what it would take. If it does not fit, you hear that on the call.
Book a free callAivelli is an independent training and workflow-enablement partner and is not affiliated with or endorsed by Microsoft.
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