A post about AI in B2B SaaS and Fintech implementations. Warning, ChatGPT reviewed and didn’t like this.
AI aggregates vast amounts of information and chews it for us so we can use it. Used incorrectly, it may be the king of GIGO (garbage in, garbage out). It mathematically generates grammatically well-formed responses to questions, based on patterns in its training data. It may struggle to produce non-conventional ideas, and will rarely step outside the box. It can generate crippling uniformity and potentially lock our viewpoints. Clear examples are CVs, LinkedIn posts (not this one though), but also – solution approaches.
Should we embrace it? Wholeheartedly, yes, but there’s a but – understand where and how and what controls to put on it.
Useful:
- Automate repetitive tasks – we get bored, it doesn’t. We make stupid mistakes, it… probably makes less of them.
- Create training materials – video walkthroughs, documents, FAQs. LLMs really shine here, creating easy to understand material in a click of a mouse button.
- Create dashboards and reports. Again, this is the sweet spot, taking a lot of data and visualising key pieces of decision-support information. Just remember to check for mistakes and hallucinations before sending to your CEO.
- And then I have some of my own secret sauces, ask me about them…
Where I would be hesitant to rely on it
- I wouldn’t take its responses as holy gospel. We probably all encountered mistakes and misleading answers, some are funny, some can have an impact.
- I, personally, would never use it to write emails to clients or even internally.
- I always try to form my ideas first, and only then go to my AI chat of choice
B2B client onboarding is already benefiting from AI, we should keep implementing more and more automation in order to free our teams to do what people do best – innovate and think and apply common sense and most importantly – communicate. Let’s put a bit of HI (human intelligence) back to where AI is taking over, and use AI where it brings real value.