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Can AI Do That?

by Clay Turner, Co-Founder

At Soaring Titan, we have high confidence in the transformative power of AI in the enterprise. But like many, we are equally frustrated by so few practical use-cases for businesses in circulation at the start of 2024. Where we can rationalize the effect as a natural evolution in an emerging industry, we too want to see practical use-cases emerge quickly. For businesses determined to see value in 2024, we see opportunity to do so immediately in two key areas: Research Automation and Process Automation

The reasoning power of AI lends itself very well to automating and scaling some otherwise laborious tasks in workflows that may - themselves - be rather unique and specific to a given business domain. These tasks may not be so obvious, and are often poorly suited for single requests to an AI model like ChatGPT, or any of the assistants we see popping into the OpenAI Store. But considering more robust orchestrations of multiple model requests, a business that might otherwise be challenged to scale beyond the size of its people today, may reposition itself with well-integrated AI to realize additional scale with what we'll just call Digital Staff Augmentation.

Digital Staff Augmentation?

Where AI is increasingly going to replace those who ignore it, we're excited about making people more productive who embrace it. If you can make your people more productive, then you can accomplish more as a business without raising headcount, which may be cost prohibitive. Perhaps you're a startup seeking to expand runway. We can appreciate that fully. Perhaps you're a business operating at scale, but see additional opportunities being lost for lack of staff. The idea of using AI for Digital Staff Augmentation might apply well to you in 2024. For these businesses, we see immediate growth potential by leveraging AI for Research Automation and Process Automation.

Human verification of work is still essential. Human beings verify the work of other human beings today. The same will continue to apply to machines. In other words, human teams have always had some kind of reporting structure to verify the work of subordinates and to offer feedback for improvement. The same must apply - for now - to AI. Likewise, AI models are emerging with varied levels of intelligence, talent, and ability, much like the people who have served well-orchestrated teams historically. This is creating the opportunity to use less expensive models for some tasks that are verified and expanded upon by smarter, more expensive computational models before handing their results up the ladder. Where this represents both an operational and a financial advantage, we still see the need for human intelligence to verify any results. That reality can and should be integrated into the workflow. Soaring Titan exists to help businesses do that.

So... We're asking for your help to pull on this thought-thread a bit:

  • What kind of research (a) do you do today, (b) do you need to do, but don't have the time, or (c) would like to do or explore?
  • What in your work pipeline requires the kinds of decisions that perhaps a smart, college student could make?

Please consider offering your comments below. You can ask questions, give ideas for examples that you'd like to see working and showcased at Soaring Titan, or just tell us how you're feeling about AI in your line of work.


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