Microsoft 365 Copilot · Adoption for Business Teams

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

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.

Business-led, no-code working sessions Led by a tech leader with 15 years in complex program delivery
The Problem

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 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.

The Change

What changes after an
Aivelli engagement

Before
After
People use Copilot randomly, or not at all.
The team tests clear, repeatable workflows designed to reduce time spent on work that returns every week.
Knowledge sits across folders, documents, and people’s heads.
Agents use a defined set of approved sources and shared instructions, giving the team a more consistent starting point.
Prompts live in individual chats and disappear.
The team owns reusable agents, instructions and examples that it can continue testing and improving after the engagement.
Nobody knows whether an answer is reliable.
Every workflow is tested on real questions, with clear review rules and a defined point where a person checks before the output is used.
Every new idea needs an outside expert, so nothing gets built between engagements.
Your team gains a practical structure for building and adapting straightforward agents after the engagement.
AI adoption is “someone else’s job.”
A named owner keeps it running, improves what gets used, and adds the next piece of work to it.
How it works

4 steps. Designed and tested
with your team.

Pick the work worth improving, prepare the information and rules, build a practical prototype and plan how the team will use it.

1

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.

2

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.

3

Build it, live, with your team

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.

4

Test, adopt, improve

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.

Where teams start

Where teams often
start

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 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 reusable agent can prepare a first-draft status in your leadership format using approved sources, ready for review by the responsible person.

💬

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 outcomeA source-grounded agent can answer recurring stakeholder questions using approved information and flag when a human needs to step in.

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 can apply documented review criteria and highlight likely issues before submission. 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 preparation agent can review past notes and your draft, suggest likely questions and flag areas that need 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.

The outcomeA source-grounded onboarding agent can answer recurring questions from approved documents and help new colleagues find the right information or owner.

📥

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 outcomeWhere Microsoft 365 access and permissions allow, Copilot can prepare a prioritized brief, draft routine replies for review and extract actions.

Pricing

One method, 2 depths

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.

Start here

AI Adoption Day

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.

You walk away with
  • A tested Copilot agent or workflow prototype, created in your environment where access and permissions allow
  • Hands-on practice building and adapting straightforward agents
  • Reusable instructions, prompts and a simple team guide
  • A written AI-literacy session record covering how AI systems work and their limits, data rules, verification and oversight
  • A written recommendation of suitable next steps and any technical support they require
  • 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.

3,000
excl. VAT
Book an Adoption Day
Adoption support

30-Day AI Adoption Sprint

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.

Week 1: Find the right problems.Interviews across the team, plus a Copilot usage baseline where suitable admin data is available. We assess candidate workflows by value, feasibility, information readiness and review requirements.
Week 2: Build.Live no-code working sessions with the team to create and test straightforward agents or workflows around the selected work.
Week 3: Support adoption.The team tries the prototypes on real work. Two adoption clinics review what was useful, refine instructions and strengthen ownership and review habits.
Week 4: Review and decide.We review initial usage, team feedback and available indicators. The Sprint closes with an executive readout and recommendations on what to continue, adjust or explore next.
You walk away with
  • Selected workflows tested on real work with named owners and review rules
  • Initial adoption indicators where suitable Microsoft 365 data is available
  • Practical guidance for building and adapting straightforward agents
  • An AI-literacy evidence pack covering the engagement (see below)
  • An executive readout and proposed 90-day adoption plan

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.

7,500
excl. VAT
Start an Adoption Sprint

Considering a broader scope? We first assess fit, dependencies and the delivery support required, then provide a written proposal where appropriate.

Get in touch
EU AI Act Article 4

Evidence 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.

Aivelli does not certify compliance and does not give legal advice.
Lela Gagua, founder of Aivelli
Who delivers

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 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.

Fit check

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 custom code, API development, MCP server development or a multi-system enterprise build.
  • You need Aivelli to own Microsoft 365 administration, security configuration or complex technical debugging.
  • 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.
FAQ

Frequently asked questions

Is this Copilot training?
It is training, built differently. It starts from work your team runs every week, the build happens live with your team, and the outcome is a tested way of working plus people who can build the next agent themselves. Feature walkthroughs happen along the way, in service of the work.
Do we need technical people involved?
Business participants do not need a technical background. Your IT or Microsoft 365 administrator may need to support licenses, access, permissions, connectors, security settings or integrations. We identify these dependencies during preparation and agree who owns them before the engagement.
How fast do we see results?
An Adoption Day aims to produce a tested Copilot agent or workflow prototype. Completion in your environment depends on the required licenses, access, approved sources and permissions being available. The Adoption Sprint reviews early adoption signals across 30 days. Reliable business effects usually require 60-90 days of consistent use and suitable data.
What do you need from us?
A sponsor, a participating team, a defined piece of recurring work, approved source information and suitable Microsoft 365 access. IT or administrator support is also required when the use case involves permissions, connectors, security settings or integrations.
Will you build a Copilot agent for us?
Yes, when the use case fits a straightforward no-code Copilot configuration. We build and test agents or source-grounded assistants using your approved documents and hand over the instructions and guidance. Your IT team owns permissions, security settings, connectors and integrations. Custom code, APIs, MCP servers and complex automation require a qualified technical partner.
How do you handle accuracy?
We do not promise that AI is always correct, because it is not. Every workflow is built on approved sources, tested with real questions, and given clear review rules, including when it must say it does not have enough information.
Is delivery online or on site?
Both. Programs run live online by default, which keeps scheduling flexible. On-site delivery is available in Europe and Georgia; travel and accommodation are billed at cost.
Ready?

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 call
20 minutes No technical background needed Straight answer, either way

Aivelli is an independent training and workflow-enablement partner and is not affiliated with or endorsed by Microsoft.

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