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AI framework for the digital workplace

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There’s a tremendous amount of hype around generative AI (‘GenAI’) at the moment, and much of it is likely to be justified. Almost every vendor is adding some element of AI to their toolsets, whether it’s incremental improvements or whole new offerings.

One of the challenges is that ‘AI’ is now casually talked about in general terms, as if it’s one coherent whole. Which it’s not.

To help make sense of this, Step Two has created this AI framework for the digital workplace, a free resource to help map out the landscape of AI capabilities, putting shape around potential business cases and adoption challenges.

This is version 1.2 of what will be a living resource. Recognising that this space is innovating at a frantic pace, the framework (and this whitepaper) will be revisited and updated on a regular basis.

 

Product Description

Microsoft has invested significantly to add GenAI features to Microsoft 365 and they’re not alone. There’s seemingly a new use case put forward every day, with a phenomenal amount of investment in time and money by tech companies large and small. Almost every vendor is adding some element of AI to their toolsets, whether it’s incremental improvements or whole new offerings.

Functionality varies greatly, often built on top of entirely different AI platforms or engines, leading to very different opportunities and approaches.

To help make sense of this, Step Two has created an AI framework for the digital workplace, with the following aims:

  • map out the landscape of AI capabilities that are focused on the digital workplace
  • differentiate between distinct opportunities and use cases
  • enable more meaningful discussion and planning around AI
  • help teams to focus their AI efforts
  • cut through the hype to uncover the more pragmatic reality

As always, Step Two’s approach is to focus on the underlying capabilities, not the products or vendors themselves.

The AI framework for the digital workplace breaks capabilities into four main categories (plus an ‘x-factor’) as follows:

  • Content creation: using AI to produce information ranging from code to the written word, images and videos
  • Information retrieval: improving the fundamentals of findability through to new ways of accessing and interacting with information
  • Knowledge management: using the full power of AI to answer questions and organise information, all the way up to driving innovation
  • Productivity & process: cutting back on day-to-day basic admin, through to AI-powered digital assistants
  • X-Factor: an acknowledgement that many new ideas and approaches have yet to be conceived

Within these categories, the framework lists common use cases and capabilities that are of potential value within the digital workplace.

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