Beyond The Hype: Practical Uses for Enterprise Artificial Intelligence You’ll Actually Use

Elevating Beyond Table Stakes

Since the public launch of OpenAI, the internet has become flooded with a consistent stream of articles about how companies can make use of a wide array of newly minted AI tools like ChatGPT, DALL-E, and more. As of writing this post, companies like NVIDIA, Oracle, Salesforce, and many others are piling on with PR announcements and riding the hype toward major market cap bumps from investors hopeful that these companies will emerge with practical, widely-adopted uses for AI in the workplace for companies of all sizes.

Here at Plative, we’re major advocates for AI in the workplace and have actually implemented many use cases that companies (including us) are using every day. The key to creating what we like to call Actually Impactful AI, is arming it with your own company’s information and data so that your employees can’t imagine working without it.

“Companies who aren’t proactively searching for avenues to put AI to work are already at a disadvantage against those who do.“

Paulo Kaiser

No Gimmicks, Just Practical Applications for Artificial Intelligence

We’ve built AI into our business, and we’re on a mission to help our customers do the same. Out of the many ideas and experiments that we’ve tried internally, our team members have been taking advantage of these four the most regularly:

Use case 1: Summarizing large files and recorded calls

By building a model that interacts with Google Meet, Zoom, Gong, or your video conferencing application of choice, you have the power to feed the model the entire call transcript and train it what to look for. What you train the model to look for will depend on your company and use case, but here at Plative, we’ve asked it to summarize:

  • Agenda topics discussed
  • Key decisions made on the call
  • Next steps and action items discussed

This is all organized into a Google Doc, with our company letterhead, and automatically emailed to the meeting attendees with a Plative email URL. We even made sure to include invited but non-attending meeting invitees.

Use case 2: Get your own Tableau data on request from Slack

Our personal favorite practical use case of generative AI is querying our own data from Tableau with a simple question in plain terms via Slack. Although all our data lives in a dashboard that’s accessible via a web browser, sometimes we just want a quick export snapshot of real data like “What is [sales rep]’s performance this quarter compared to her team?” or “What is the East region’s forecasted bookings this quarter compared to quota?” From there, the model will query Tableau and export a pdf of the report or lens that has a close match to the dataset and results you’re looking for.

Use case 3: Leveling up your company’s knowledgebase with generative AI

Many companies share the pain of maintaining and searching a shared knowledgebase. Whether you use Notion, Confluence, Salesforce, or other platforms, the main value driver of any knowledgebase is the ease of use and proactive recommendations when you need them. That’s what we were striving to solve when we developed Plaito, our own internal chat bot that interacts with all of our employees over Slack, but is informed by the collective intelligence of our entire company via integrations with our Confluence, Google Drive, and Salesforce installations. This makes it possible for our people to ask Plaito for templates, process questions, customer stories, first call decks, and more right from within Slack.

The Emerging Case for AI In The Enterprise

Since the launch of GPT1 by OpenAI in 2018, our team has been experimenting (and in many cases, obsessing) with finding practical, relevant, and accessible uses for generative AI in the enterprise. Historically, what many would consider real AI has only been accessible to blue chip companies or those with multi-million or billion-dollar budgets for digital innovation and the ability to experiment and fail with their dollars.

Our CEO, Paulo Kaiser, sat down with Eric Berridge, former CEO of Bluewolf (an IBM Company), to discuss the assimilation of AI in the enterprise. If you want to take a listen, click the link in the top of this blog.

Ready to Put Practical AI To Work?

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