Copilot Dashboard Instead of Gut Feelings

Microsoft 365 Copilot is quickly introduced. But how can you measure whether usage, added value and license strategy are really working? A Copilot dashboard creates transparency and helps to manage adoption, ROI and next steps in a well-founded way.

Many companies have already taken their first steps with Microsoft 365 Copilot, launched pilot projects, and invested in licenses and initial adoption initiatives. However, simply rolling it out isn’t enough. Now the crucial question arises: What concrete benefits does AI actually deliver—and where does it fall short of expectations?

This is precisely where the current challenge lies: without concrete metrics, AI usage remains a black box in many areas. There is a lack of clarity regarding how much Copilot actually helps in day-to-day operations, which departments are measurably benefiting, and where there is an urgent need for training. Decisions are then based more on individual perceptions than on valid data.

In day-to-day operations, this raises specific questions:

• Which group will receive Copilot licenses next?
• How many licenses are needed in total, and where might they no longer be used at all?
• Does the achieved ROI meet the original expectations?
• How can the ROI be specifically optimized?
• In which areas are the KPIs not yet being met?

Measurable results are not an optional extra, but a prerequisite for driving adoption, optimizing costs, and managing the entire workplace strategy based on data. Only those who know the actual impact can successfully steer their investment.

Reporting shows the past - control shapes the future

In light of the typical limitations of standard tools, this difference becomes business-critical. Although standard reporting provides a retrospective overview of activations and rough trends, it leaves open how these developments are to be strategically classified and what specific measures must follow from them.

A company that only knows the pure activation figures has Excel spreadsheets. An organization that puts this data in the right context, on the other hand, immediately derives targeted optimizations from it. This is exactly where a dedicated Copilot Dashboard becomes relevant: It transforms pure reporting into a visual evaluation that enables active, targeted control.

After rolling out Copilot internally, we faced exactly the same challenges as many of our clients: How do we keep track of the actual depth of usage? How do we demonstrate the solution’s cost-effectiveness to management in a way that is not only credible but also robust and verifiable with data? And how do we manage enablement initiatives so that they target exactly where users still need support?

Based on this specific practical need, we developed our own flexible solution: the Arvato Systems Copilot KPI Dashboard.

It is not intended as a mere extension of existing Microsoft functions, but as a standalone, solution-oriented approach that picks up where standard reporting leaves off. Coupled with the complementary Copilot Adoption Tracker, we create the foundation for fully flexible, data-protection-compliant monitoring that not only collects data but translates it directly into concrete recommendations for action.

The decisive added value lies not in isolated key figures, but in their intelligent combination. Only the combination of different perspectives creates a valid basis for decision-making.

• Transparency on usage and adoption: Actual usage is evaluated automatically and can be viewed at different levels - from the overall organization to individual departments, locations and roles. This makes it immediately apparent which teams are using AI effectively and where targeted support is needed.
• Practical KPIs & trends: The evaluation differentiates specifically between the individual Copilot functions (such as in Word, Outlook or Teams) and allows you to integrate your own metrics. These include, for example, the intensity of use in relation to the license costs. This shows in detail whether teams predominantly call up automated Copilot standard functions or are already writing individual prompts to solve complex workflows.
• Targeted control of adoption: Instead of broad, expensive watering can training, the dashboard allows a data-based approach. If usage stagnates in one area, enablement initiatives and training can be targeted precisely where the gap exists.
• License optimization and cost control: Inactive licenses can be quickly identified. The dashboard offers rule-based support to redistribute unused licenses in a targeted manner or to securely deactivate permanently inactive licenses. In turn, the system identifies business users with high pay-as-you-go (PAYG) consumption so that they can easily obtain the appropriate fixed licenses. This saves costs and increases efficiency - completely anonymously if desired and without drawing conclusions about individual persons, which ensures acceptance and precisely meets the requirements of the works council.
• Absolute data sovereignty: All evaluations are designed in such a way that they can be implemented 100% in compliance with the GDPR and works council regulations. The data remains entirely in your own Azure or Power BI environment and is anonymized in accordance with your compliance rules - a mandatory requirement for long-term acceptance within the company.

Data creates one thing above all else in this context: reliable scope for action. Companies that use a KPI dashboard get a clear picture of where AI is creating real value.

Evaluate pilot projects more thoroughly

Board members and IT managers receive reliable facts instead of subjective experience reports. This noticeably changes the business case discussion: away from assumptions and towards measurable results for the next investment phase.

Prioritize training courses

If the dashboard shows that PowerPoint co-pilots, for example, are being used intensively, but efficiency gains in Excel are stagnating, the training budget can be invested precisely - for example through targeted prompt training for the finance department.

Making ROI comprehensible and improving it

Usage data closes the argumentation gap vis-à-vis controlling and management. In practice, there is a clear correlation: as soon as the benefits become visible and verifiable in compliance with data protection regulations, the willingness to roll out further increases. If all employees are demonstrably using their licenses optimally, the management approves additional budgets for other departments noticeably faster. If existing licenses are efficiently utilized, subsequent investments are much easier to justify.

Technical basis and expandability

Technically, our approach is based on Microsoft Power BI. It can therefore be seamlessly integrated into the existing Microsoft 365 infrastructure, is immediately ready for use and can be flexibly expanded to include your own data sources or organizational structures.

Using our dashboard, an international corporation discovered that Copilot was being used extensively, particularly by marketing teams, but that adoption in the finance department had largely not progressed beyond the initial activation phase. Based on this data, targeted measures were taken: Through targeted training and in-app tips, adoption in the finance department doubled within a few weeks—without the need to purchase a single additional license.