In this article we compare different AI platforms and test their performance when creating a business case.
Over the last 6 months, we have been doing a lot of work with all the Artificial intelligence (AI) platforms and I continue to be amazed by the capability of this technology. Although its comprehensive, intuitive, insightful, and stimulates thought, it is not (yet?) the complete package. Feeding this technology with a question, a problem, a scenario, or just a sentence, produces a great response but it still requires some refinement to make it fit for purpose in the business world.
I have a lot of experience in the ‘building the business case world’ but I also think this is the case for most applications of AI. To demonstrate my point, I have completed a simple experiment to demonstrate how much more powerful augmented AI* can be.
I took a simple scenario of a real-life business case that I have completed in the past:
‘A small architectural practice in the UK was looking for an ERP / CRM that would help them manage their portfolio of customers and jobs. The two main improvements would be in terms of cash collection and additional chargeable work. The vendor helped create a simple case for the head of the practice to support the decision to move forward.’
I used this as a prompt for the following platforms:
*Before I reveal the results, I should explain what I mean by Augmented AI as not everyone will be familiar with this phrase. Augmented AI refers to the combination of AI technologies with human intelligence to enhance decision-making, problem-solving, and task performance. Rather than replacing humans, augmented AI aims to work alongside them, improving their abilities, productivity, and efficiency by leveraging AI to handle repetitive, data-heavy, or complex tasks.
ChatGPT was probably the least comprehensive of all the platforms. It described the areas of the benefits that could be delivered by a new system in the company, but less detail was included than the other platforms:
Microsoft Copilot did provide a little more detail and even titled the returned text business case!
Again, Gemini was more detailed and very similar to the Copilot effort. What was encouraging is that it mentioned quantifying the benefits!
Finally, the SharkSense platform - it should be noted that this is an AI platform (Gemini) augmented by the Shark ROI platform. SharkSense generates a detailed business case overview, including quantified benefits, an explanation of their relevance to the customer, and suggested solution costs:
Summary
Each of the regular AI platforms do a great job of giving a ‘business case overview’ for a particular scenario. Some do give more structured results with a little more detail, but in general they are all very similar.
When an AI platform is augmented with a specialist business case platform like SharkSense, it takes what is a great overview and augments it with financial detail, benchmark numbers, and in context rationale for each of the benefits used. In short it creates a complete business case, giving the full picture and justification for the scenario given to it. It does seem that this is a common theme, AI on its own is good, but when augmented with a specialist platform (business case, customer insights, RFP responses, CRM etc…) it becomes significantly more valuable.
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