The practical application of generative artificial intelligence has gone from an abstract, future concept to a concrete reality in a matter of mere months. Businesses and organizations large and small are scrambling to figure out if and how AI can help their people be more productive and efficient. For organizations using Microsoft software, the application of AI in a business environment is being led by the Microsoft Copilot platform.
Businesses at the enterprise level are also looking for ways AI can leverage the massive amounts of data generated daily by their organizations in increasingly productive ways. Many believe that such a massive undertaking can only be accomplished by a competent AI platform. Microsoft Copilot, with its integration into Microsoft 365, Azure, Windows and enterprise-wide data streams, is purported to be the AI that unlocks the creative and productive potential of an organization’s people and data.
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Microsoft Copilot is a new AI product that combines the power of large language models with in-house enterprise data generated by the Microsoft Graph and Microsoft 365 applications. Using the power of AI and natural language conversations, users can find better answers to their questions and potentially create content from those answers. Copilot was developed on the ChatGPT platform and announced as an in-development platform at the July 2023 Microsoft Inspire conference.
There are two versions of Copilot: Microsoft 365 Copilot and a more general Microsoft Copilot. It is important to note that Microsoft 365 Copilot is different from the consumer and small business-oriented Copilot platform found in Bing Chat or non-enterprise versions of Microsoft 365. These Copilot LLMs are trained on more generalized aggregate data gathered across the internet and therefore tend to have more generalized results. Microsoft 365 Copilot will be dependent on the data generated by a specific, and only a specific, enterprise.
Microsoft 365 Copilot will be dependent on in-house, enterprise-generated data, while the more general Microsoft Copilot will use aggregate data pulled from the internet.
Both Copilot versions will be embedded in the Microsoft 365 apps including Word, Excel, PowerPoint, Outlook and Teams. This complete Microsoft 365 integration will allow an organization’s workers to be more creative and unlock productivity gains and potentially improve their skills. In addition, Microsoft 365 Copilot will add AI-enabled Business Chat to the productivity suite, which will work across enterprise-specific data like calendars, emails, chats, documents, meetings and contacts to help employees communicate easier and better.
Assuming Microsoft Copilot works as advertised, an employee could jump-start a project (e.g., email, presentation, report, data visualization) with an AI-generated first draft. With that foundation, the employee can quickly move on to refining and iterating a second draft and then a final draft, cutting at least one step from the process. This should make the employee more efficient and productive, and it could allow for the development of new skills.
For Microsoft 365 Copilot, the key to these productivity gains will be the application of enterprise-specific data to the new project from the start. Using data internally generated by the enterprise from emails, documents, calendars, contacts and so on, presumably the project will be jump-started with limited, and more importantly, pertinent assets.
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For example, if an enterprise employee at Ford is creating a presentation that needs to show movement, the AI – if properly trained – should use a Ford-related product rather than a similar product from one of its competitors. An AI trained by data culled from the internet may come to a different conclusion and defeat the purpose of deploying enterprise-specific generative AI.
Copilot will be integrated into the fabric of all Microsoft 365 applications. When an employee starts a Word document, reads an email in Outlook, opens an Excel report or updates a PowerPoint presentation, Copilot and its generative AI abilities will be there to assist when called upon.
The specifics of how each Microsoft 365 application will use Copilot are still in development, and many use cases will likely only be discovered when users can actually use the platform. However, Microsoft has outlined some of its basic ideas for Copilot in a business environment.
Below are examples of commands a user might give Microsoft Copilot.
All AI platforms are only as good as their training; if Microsoft Copilot is modeled after data that is incomplete, biased, wrong or otherwise corrupt, the suggestions it generates, regardless of who is asking, will be incomplete, biased, wrong or otherwise corrupt. The old adage of garbage in equals garbage out still applies.
For Microsoft 365 Copilot, training will be particularly important because all the data used for that Copilot AI platform will be internally generated and gathered. Enterprises looking to properly apply AI will have to carefully monitor the data Copilot can access. For example, a business may not want brainstorming documents and meeting notes to be part of the data stream; rejected ideas may taint the data stream and propagate throughout the organization.
For general versions of Microsoft Copilot, organizations and users will have to be aware that inherent biases, fads, misguided trends and other transitory events will likely color some of the AI-generated output. Not every passing fancy on the internet should make its way into official organizational documents.
In addition to this potential problem, especially for Microsoft 365 Copilot implementations, is the tendency of some departments to silo their data behind firewalls. New products and services developing under non-disclosure agreements, for example, will often be cut off from the normal organizational data stream. Businesses will have to decide whether hiding data from the AI in such cases is more beneficial than allowing AI access.
The most important caveat for Microsoft Copilot is the platform is still in development. The use cases outlined by Microsoft at the 2023 Inspire conference are the company’s visions of how the platform will work. Once Copilot is released to the public, what the AI platform is capable of, good or bad, will be revealed. Until then, we will be dealing with potential and perhaps some wishful marketing.
Generative AI is arguably the hottest trend in technology innovation for 2023, so it stands to reason there are many new and in-development AI platforms ready to compete with Microsoft Copilot.
Even though Copilot is based on ChatGPT, the AI chatbot is available as a standalone platform and therefore should be considered a competitor. AI is already incorporated into Microsoft Edge in the form of Bing Chat, and an AI has recently been released for the Google search engine and Chrome. Technology experts have reported that Apple is developing its own AI platform. It seems that AI will be integrated into just about every digital application we use on a computing device.
Major tech companies including Salesforce, Oracle and Adobe are all working on AI platforms. There are also dozens of smaller independent developers working on their own versions of an AI platform. Plus, there are a multitude of AI competitors working on specialized platforms that will bind LLMs and generative AI principles to specific applications. Businesses will likely spend a lot of time wading through AI platform possibilities.
As revealed during the 2023 Inspire conference, Microsoft 365 Copilot will cost $30/user/month. At first glance, this price point seems expensive, but it is vital to remember this version of the platform is designed for large business enterprises. For a large enterprise with thousands of employees, and assuming the platform delivers what Microsoft promises, that $30 could end up being a bargain. That is a big assumption to make at this early point in development.
The consumer and SMB versions of Microsoft Copilot will likely be priced lower than the enterprise counterpart. Bing Chat, which is also based on ChatGPT, is available now and for free as an integral part of Microsoft Edge. It is also likely that some features restricted or otherwise modified version of Copilot will be available for SMBs too small to have meaningful in-house generated data available to train the AI platform.
The pricing for all the versions of Microsoft Copilot is likely to change as development of the platform continues. With the large number of competitors in the AI platform space, it seems almost certain the cost of these services will change significantly.
At $30/user/month, only certain large enterprises will be able to afford large numbers of employees subscribing to the Microsoft 365 Copilot platform. In addition to the subscription fee, such employers will also have to account for the extra expenses associated with generating, collecting and collating accurate and useful data for the AI and LLMs to train on. This is a major undertaking, and the decision to implement the Copilot platform will take a significant commitment.
Large enterprises will have to decide whether the productivity benefits of using the Microsoft 365 Copilot platform outweigh the initial costs of developing and maintaining the platform – and then paying for it indefinitely.
For individuals and small businesses with little to no LLM-ready data, the consumer level versions of Microsoft Copilot is available for free. Bing Chat is already available in Microsoft Edge for everyone. Some form of low-cost or no-cost version of Copilot will likely be available for certain versions of Microsoft 365.
Only time will tell if the generative AI capabilities of Copilot are worth the time necessary to use them.
As of August 2023, Microsoft Copilot is in the testing phase of development. A limited number of organizations and Microsoft Insiders are testing the AI and providing feedback on what works and what does not work.
There is currently no officially announced release date for any version of Microsoft Copilot.
