“We Saved Hundreds of Hours.” This Is the Story of InsightGPT.
Remember the early 2000s when the entire tech world was gearing up for a paradigm shift in personal transportation? Even Steve Jobs claimed it would be “as big a deal as the PC.”
Once rubber met road, however, the hype evaporated into the mist of a distant memory. If you ever see this device now, it’s probably as a prop in a comedy about a mall cop.
The rise and fall of the Segway speaks to the value of remaining levelheaded during a tech revolution. We’re as excited about generative AI’s potential as anyone. But at Insight, we are laser-focused on optimizing the present moment.
What we do with generative AI isn’t for our own benefit. Jason Rader, Insight’s VP and Chief Information Security Officer, sums up our mission: “We’re aiming for a swift market entry while ensuring a learning-centric approach that we can share.”
Sharing that approach meant launching an internal project with three main objectives:
1. Enhance day-to-day productivity for employees: Removing mundane and repetitive tasks so that employees could focus their efforts on higher-value work.
2. Explore generative AI capabilities for organizations: Experiencing the transformative capabilities to give us firsthand knowledge of how generative AI can rapidly solve pain points in various organizations across all the top verticals. 3. Expand our architectural understanding for clients: Gaining a profound understanding of the generative AI architecture so that we can guide clients in deploying their own generative AI solutions.With these goals in mind, we set out on a journey of self-discovery. Buckle up. You’re about to discover what happens when the leading Solutions Integrator turns its speed, expertise and experience on itself.
With a specialized “tiger team” of experts in AI, our IT consulting firm devised a strategy for generative AI adoption. The process involved many elements — data collection, user training, integration with existing systems — and the Hippocratic oath was applicable to each one: “First, do no harm.”
There’s a reason 65% of organizations increased their spend on cybersecurity. And that reason is this: No emerging technology, regardless of its potential value, is worth introducing a security risk that threatens business continuity (or worse).
So, our question became: How can we implement this once-in-a-generation technology in a way that’s safe, responsible and sustainable? Rather than wait for others to provide an answer, we developed our own comprehensive framework.
Insight is ideally positioned for this purpose. We were one of the first organizations to test and implement Microsoft Azure OpenAI® at the enterprise level. We knew it was critical that data inputted into InsightGPT would not reach the public generative AI model. This meant deploying a private (secure) instance of ChatGPT, dubbed InsightGPT.
We didn’t start testing InsightGPT until we had a solid policy in place that safeguarded our organization’s private information from potential misuse.
The InsightGPT journey at a glanceChallenge Rapid and secure adoption of a generative AI solution Solution Insight Lens™ for Gen AIOutcomes:
Extensive rollout to 13k employees worldwide under an accelerated timeline
Significant time savings and tangible ROI across the enterprise
Continually evolving generative AI footprint and capabilities
After establishing our internal policy, we swiftly introduced InsightGPT to our global teams. It must be said that much of the enthusiasm surrounding this project can be traced to the “generative” side of AI. The word itself — “generative” — embodies the essence of creation, origination and reproduction. This not only speaks to its vast potential but also to the vast array of use cases for which generative AI is a game changer. But, once again, our team knew it was important to stay levelheaded. After all, who could forget the humble beginnings of the internet? It was viewed by businesses as just another avenue for advertising. Only with exploration and experimentation did its value in areas like eCommerce, customer engagement and global connectivity become undeniable and ubiquitous.
All this to say that the true magic of a new technology often reveals itself during an experimental phase. Our CEO and President, Joyce Mullen, reflected on the unexpected challenges and rewards of testing enterprise generative AI on ourselves. “We thought of use cases that we didn’t expect to see, and we encountered problems we didn’t anticipate.” Which is exactly the outcome we desired.Why?Because the space of uncertainty is precisely where otherwise traditional business operations can yield surprising and impactful applications. To tap into these unseen opportunities, it was crucial for our employees to feel at ease with InsightGPT.
To this end, we conducted training and informational sessions. Our team understood the capabilities of generative AI, but they needed to actually experience its potential for themselves to enhance their daily tasks.
Given our test-and-learn attitude, we anticipated a steady rise in productivity. The actual results achieved were so astonishing they surpassed even our loftiest expectations.
“We thought of use cases that we didn’t expect to see, and we encountered problems we didn’t anticipate.”
No
Yes
I've discovered my own generative AI solutions/prompts to save time.
In a matter of weeks, we achieved results that traditional processes simply could not mimic. Put simply, our initial experience with enterprise generative AI lived up to hype. Our National AI Practice Manager at Insight, Meagan Gentry, described it best: Generative AI is a “mighty accelerator” of efficiencies.
Here’s a department-by-department rundown of the time savings we achieved:The human resources department used InsightGPT to analyze feedback surveys and gather data. While this might seem like a minor enhancement, the impact was substantial. Our HR team reduced the time needed for these manual (and often tedious) tasks by a whopping two weeks.
The sales team faces the daunting task of converting vast amounts of data into actionable intelligence, but InsightGPT gave their data the gift of coherence. They transformed an overwhelming amount of information into structured and categorized data. This reorganization not only streamlined their workflow but also saved hundreds of hours across the team. The software development team increased their productivity by 56%. They can get more lines of code out faster and with better quality. And instead of searching for bugs, InsightGPT can help find and fix them immediately. Every needle in the haystack is now easily discoverable.
We’re not stopping there. Insight is continuously exploring new applications for generative AI.
“Generative AI has shown a lot of potential in content creation,” Rader says. “Whether it’s writing articles, generating graphics or even composing music. The possibilities are endless.”What’s not endless is our experimentation phase for InsightGPT. And the overall lesson we learned from it is a powerful one.
How InsightGPT performed across departments:
Human resources: Reduced task completion time by two weeks.
Sales team: Saved hundreds of hours turning unstructured data into actionable intelligence.
Software development: Increased productivity by 56% with faster code output and enhanced bug detection.
In a tech landscape dominated by moonshots and The Next Big Thing, we’ve discovered that employee feedback is the single most undervalued key to unlocking the true potential of generative AI. Our teams were integral from the inception of InsightGPT. As it evolved, so did our collective wisdom.
“The problems we solve for ourselves are the problems we can now solve for our clients,” said Rader. That is exactly right. What started as a private instance of generative AI is now a clear path our clients are following in their generative AI journey.
Our passion and proficiency in generative AI both have their roots in hands-on experience. As we further our reach and expertise in this domain, we’re committed to assisting your organization in embracing, refining and broadening your internal use of generative AI.
With best-in-world partners like Microsoft unveiling new capabilities and integrations, the future of how we optimize our daily workflows is poised for yet another paradigm shift. When it happens, Insight will be there at the forefront to keep you and your team moving further and faster than your competition.
What do you have to say about that, InsightGPT?
Wiser words have never been generated.
“The problems we solve for ourselves are the problems we can now solve for our clients.”
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