Bret Greenstein of PwC may use a custom GPT he designed to pull up the local sports scores or weather while on a work call with someone in, for example, New York, to break the ice. He routinely sends data to a dedicated “research assistant” bot, to which he occasionally bounces ideas off of. Microsoft Copilot also diligently took notes for the PR representative of the firm when he talked with Tech Brew.
Bret Greenstein, who is the generative AI leader at the firm, said, “These are little day-to-day things, but they make you so fast in what you’re doing. I can take a snapshot of my calendar and just ask me for all conflicts. And it tells me what the meetings were about.”
Bret Greenstein, Generative AI leader, PwC
PwC and other consultancies seem to be the only organizations outside of Silicon Valley that are incorporating the newest generation of AI with such enthusiasm. The company promised to invest $1 billion over the course of three years to expand its generative AI services last April. According to an announcement, it expanded its agreement with OpenAI this week, making PwC’s US and UK companies the first resellers of ChatGPT Enterprise and the biggest users of the product in terms of licenses.
According to Greenstein, the collaboration will enable PwC to provide ChatGPT Enterprise in addition to more tailored solutions for a range of sectors and tasks, including as software development, purchase order processing, and leasing summarization. Then, he claimed, data may be fed in to further modify them.
Greenstein said, “Our enterprise clients are very focused on outcomes. They want to know, ‘If I do this, how much better will this process be? How much faster will it be? How much more efficient will it be?’ And so the easier we can make that for them, the better.”
Thus, where are these “outcomes” most prevalent? According to Greenstein, generative AI can be advantageous for clients with a “high volume of documents coming in or out.”
Greenstein said, “For example, contracts, invoices, security logs, software development—these are lots of very heavy document-intensive processes that we can put AI in front of, and it does the analysis, the summarization, the triage, even recommended answers. Up until now, the only way was to have people read all that stuff and summarize it. Now we can have AI do a lot of that work, working with people to give them better insights and better information.”
But as Greenstein’s own use of AI power demonstrates, PwC’s significant AI drive goes beyond merely pitching customers on this technology. Additionally, the company is dedicating to integrating generative AI into internal operations and training its hundreds of workers on its use.
As one might anticipate, workers have experienced some fear and uncertainty as a result of this, according to Greenstein.
Greenstein said, “This is the largest change management in our lifetime. Getting people used to the internet was nothing like this—it took a decade to be interesting for people, it didn’t change everything people do. This changes every role.”
Bret Greenstein, Generative AI Leader, PwC
According to Greenstein, PwC was able to reduce some of those worries by seeing AI as a useful tool that is “productive, but not perfect.” It has a community of around 9,000 users who exchange AI ideas with one another, and it has conducted internal hackathons and “enablement sessions” to gather about 3,000 possible use cases, he said.
Greenstein said, “Making this accessible to people where they work is the most interesting and important thing because the best ideas are from people who are just discovering this now. The people closest to work are going to have the best ideas for this.”
You can visit the official website of PwC for more information.
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