Your team has AI access. Aivelli helps turn it into practical adoption: straightforward Copilot agents and workflow prototypes, designed and tested live with your team on real work. Your people learn how to build and adapt them and everything created during the engagement stays yours.
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 a clear way of working: which work Copilot can support, which sources it should use, where human judgment stays and who owns the result. A license rollout does not define any of that. Aivelli helps your team define it around recurring work: 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.
Pick the work worth improving, prepare the information and rules, build a practical prototype and plan how the team will use it.
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.
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.
We build straightforward Copilot agents, source-grounded assistants and reusable instruction sets using documents your team already owns. Participants practice building and adapting these no-code solutions. Your IT or Microsoft 365 administrator owns licenses, permissions, security settings, connectors and technical integrations.
We test the prototype on real questions and examples, refine it, define review rules and assign an owner. The team leaves with a clear plan for continued use and improvement.
Delivery teams, marketing, finance, RA and QA, PMOs: different work, similar recurring problems. These examples show suitable starting points for straightforward Copilot agents. The final use case depends on your team’s work, approved information, licenses, access and permissions.
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 reusable agent can prepare a first-draft status in your leadership format using approved sources, ready for review by the responsible person.
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 outcomeA source-grounded agent can answer recurring stakeholder questions using approved information and flag when a human needs to step in.
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 can apply documented review criteria and highlight likely issues before submission. Final judgment stays with the responsible person.
The problemRecurring meetings start with 20 minutes of reconstructing what was decided last time, and the hard question still arrives unprepared for.
The outcomeA preparation agent can review past notes and your draft, suggest likely questions and flag areas that need clarification.
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 outcomeA source-grounded onboarding agent can answer recurring questions from approved documents and help new colleagues find the right information or owner.
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 outcomeWhere Microsoft 365 access and permissions allow, Copilot can prepare a prioritized brief, draft routine replies for review and extract actions.
Every engagement follows the same method: choose suitable work, prepare the information and rules, design and test a no-code Copilot solution and help the team continue with clear ownership. The 2 options differ in preparation, working time and adoption support.
Programs run live online or on site in Europe and Georgia. Travel and accommodation are billed at cost.
1 team of up to 12. 1 full day. Leave with a tested Copilot prototype and a practical method your team can reuse.
We select 1 defined piece of recurring work, design and test a straightforward Copilot agent or workflow and teach participants how to adapt the same method to their work.
Includes a preparation call to tailor the day to your team’s work.
Build evidence of where Copilot can support 1 team’s work.
The Sprint provides 30 days of structured support to select, prototype, test and introduce straightforward Copilot workflows. It closes with an initial review of adoption and next steps using the information available in your Microsoft 365 environment.
A 30-day review provides early adoption signals. Reliable business effects, such as time saved on recurring tasks, require longer observation and depend on consistent use and available data.
For 1 team of 8-20.
Considering a broader scope? We first assess fit, dependencies and the delivery support required, then provide a written proposal where appropriate.
Get in touchEvery 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.
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 uses your real scenarios and follows the Aivelli method: select the right work, prepare approved sources, define human review, build a straightforward no-code prototype and assign clear ownership.
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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