Become a Pro with Copilot: a revolution for teams with Office 365

Copilot for Office 365: a productivity catalyst

Copilot for Office 365, an intelligent assistant integrated into Microsoft Office applications, is designed to automate and improve a multitude of common business tasks (including writing and reviewing documents, analysing and summarising data in Excel, automating repetitive tasks in Outlook, creating presentations in PowerPoint, taking intelligent notes in OneNote, organising and managing calendars in Outlook, automatically generating financial reports in Excel... the list goes on).

Here are a few key statistics from the Microsoft report that demonstrate its effectiveness:

1/ Acceleration of everyday tasks

• Writing
  Copilot users complete writing tasks 37% faster. This time saving can be spent on more demanding tasks.
• Consulting
  BCG consultants have seen the quality of their projects improve by more than 40% thanks to AI-based tools.
• Decision-making
  Users solve decision-making problems twice as quickly with AI-based research tools compared to traditional methods. This can save managers time while promoting the autonomy of their teams.

2/ Improved quality of results

• Accuracy of security analyses
  Security novices improved their incident analysis accuracy by 44% thanks to Copilot.
• Developer productivity
  Developers using GitHub Copilot have significantly reduced the time spent on repetitive tasks and API discovery.

3/ Positive impact on teams

The benefits of Copilot extend far beyond individual productivity. Feedback from users shows significant improvements in collective efficiency and the quality of teamwork:

• Reduced stress and cognitive load
  Tasks are perceived as less draining, with a 58% reduction in stress for Copilot users. Fewer errors mean less friction within the team and less of a drop in overall productivity. It also means more time available for team discussions.
• Improved commitment and collaboration
  Copilot helps to improve interaction, coordination and team workflows, thereby strengthening commitment and cohesion. For example, by making it easier to track tasks, deadlines and priorities, Copilot helps coordination within the team. Or, by simplifying individual tasks, it frees up time for collaborative activities.

Invest in training

Training your employees to use Copilot for Office 365 is a strategic investment for a number of reasons:

• Maximising productivity
  The skills acquired will enable your teams to make the most of the tools available, increasing their efficiency and productivity.
• Reducing errors
  By automating repetitive tasks and providing accurate analyses, Copilot reduces the risk of human error.
• Time savings
  Employees can concentrate on higher value-added tasks, freeing up time for innovation and creativity.

Future prospects with Copilot

Integrating Copilot with Office 365 represents a unique opportunity to transform your organisation. By training your teams to use this tool, you equip them with the skills they need to excel in a dynamic working environment. Future innovations in AI will continue to improve these tools, making their adoption even more crucial to staying competitive.

Conclusion

Copilot for Office 365 opens up new opportunities for managers and their teams by transforming the management of day-to-day tasks and improving collaboration. While its adoption may seem like a significant initial investment in terms of training, the gains in productivity, stress reduction and improved team cohesion make it a strategic opportunity. However, the impact of these tools will largely depend on how they are integrated into existing processes and on the ability of teams to adapt to these new ways of working.

In the future, it will be essential to closely monitor the development of AI-based tools and to continue to evaluate their role within organisations. Ongoing training and support in the use of these technologies will be key levers for maximising their potential and, above all, preparing businesses to thrive in an environment undergoing constant transformation.

To find out more :

Références

Microsoft New Future of Work Report 2023
Noy, S., & Zhang, W. (2023). Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence.
Dell’Acqua, F., et al. (2023). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality.
Peng, S., et al. (2023). The Impact of AI on Developer Productivity: Evidence from GitHub Copilot.
Cambon et al. (2023). Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity.
Spatharioti, S. et al. (2023). Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment.