2023 has been quite a ride for technology enthusiasts, with AI dominating a good amount of debates and conversations. It has also been a year where organisations have looked to improve upon their operational workflows in the backdrop of different working setups.


As enterprises strive to improve workplace productivity, they must be aware of what's transpiring in the employee monitoring space going into 2024.



According to Gartner, large organisations will dedicate more than $2.5 million annually to ensure privacy in the face of evolving regulations. The consulting giant also predicts that privacy regulations will guard 75% of the world population's personal data by 2024.

In the employee monitoring space, this has a significant bearing. The concept of employee surveillance has always been a matter of profound discourse across continents. That's why we see various regulations like GDPR in Europe and CCPA in the USA governing how organisations use employees' data. And this is understandable, considering the several security implications associated with the housing of sensitive data. There's also the "employee consent" element that needs to be considered here.


  • The strategic perspective in how organisations go about their employee monitoring activities

  • The technology perspective that takes into account the underlying technical infrastructure and how it lends security support to the surveillance initiatives



  • 従業員監視の法的・倫理的制約を考慮した包括的な方針策定

  • Involving employees in discussions about monitoring productivity. Fostering trust and transparency will be key here because employees would want their personal data to be private, and understandably so. In a recent survey, about 93% of employees displayed concern about their personal data in the face of distributed working models. Although this survey was specific to India, it would be safe to assume that this is, in fact, a reflection of what's ahead for the world.

  • 外部の専門家の助言を得て、従業員モニタリングの実施状況を測定し、それらが進化する規制に沿ったものであるかどうかを確認する。

  • 全社的な生産性向上を定期的に見直し、その実践がうまくいっているかどうか、またデータのプライバシーを確保するために改善すべき点は何かを理解する。



However, there's a growing trend of organisations now preferring on-premise solutions for use cases where sensitive data is involved. To substantiate this further, we've seen some of our clients and potential clients inclining towards CleverControl On-Premise — a full-blown employee monitoring platform with all the functionalities of its cloud counterpart.




This year, Microsoft announced the integration of Copilot (the Generative AI solution) with the Microsoft Power Platform. The Power Platform constitutes a variety of apps associated with coding, website creation, etc.

しかし、現在の議論を具体的にするために、アプリの1つ、つまりPower BIに焦点を当てよう。これは人気のあるビジネス・インテリジェンス・ソリューションだ。コパイロットがPower BIを紹介した意味は2つある:

  • ユーザーは、ステートメントや質問によって求めているインサイトを記述するだけで、Power BIは瞬時に最も適切なデータを提示する。
  • Copilotは、企業が実施した分析イニシアチブの高度にカスタマイズされたサマリーとレポートを作成します。




  • Imagine engaging with the employee monitoring tool in natural language and being very specific with your queries—for example—"What are the productivity improvements for Team A in October as compared to September and August?"
  • モニタリング・ソリューションが、生産性の急上昇や時間の盗難について、このような事態を引き起こしかねない根拠とともに自動的に警告を発することを想像してみてほしい。手動の設定は必要ありません!
  • ボタンをクリックするだけで、さまざまな部門向けに超パーソナライズされた生産性レポートを作成できることを想像してみてください。

実際、可能性は多様だ。もちろん、この空間がシナリオ通りに進化するとは限らない。すべては、ユーザーが何を求めているか、そしてGen AIがどのように既存の技術設定の中で働きながらそれに対応できるかにかかっている。しかし、ひとつはっきりしているのは、多くの付加価値が生まれるということだ。

For the sake of optimism, this prediction from McKinsey is one to abide by:

"Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analysed—by comparison, the United Kingdom's entire GDP in 2021 was $3.1 trillion."



The good thing about employee surveillance today is that it's not just about bringing forth a set of performance metrics and basing every decision on that. In our conversations with C-level executives, we have seen them realise and relay that there may be different reasons for low productivity—professional and personal. They also consider how the workplace models have changed over the past two or three years. And so, not everything needs to be the same.



Safe to say, the annual, bi-annual, and even quarterly reviews are losing their sheen in the face of real-time feedback mechanisms. The employee monitoring solutions today facilitate extensive data analysis. Through the help of AI, they can also aid in predictive analytics. Such insights can easily inform what improvements need to be made and where employees have performed well.



At the start of this year, we published a study about an extra day off helped increase employee productivity by 5%. We surveyed several of our clients who experimented with the 4-day workweek to understand if they had seen any potential improvements that the media has been raving about. The findings were intriguing. In fact, one of the clients reported the active time to have increased to 79% from 71% within one week of implementation.





A lot can be thought of in terms of the employee monitoring trends that can transpire over the next few years. Technological interventions like predictive analytics, Generative AI, facial recognition, and more are already making their way into surveillance solutions. But there is also the qualitative side, where organisations need to ensure that their internal policies are in line with what their employees expect, especially in the face of distributed working models.

Striking a balance between the two will help enterprises leverage the potential of new-age employee monitoring solutions in amplifying productivity to a great extent.

Interested in learning more? Book a strategy call with our experts today.

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