I recently visited a Stanbic branch to open a joint account and enable Enterprise Online Banking.
We were told this wasn't possible unless every joint account holder first gave up access to their personal internet banking.
That didn't sound right, so we went to head office and turns out it is possible. We were taken care of in a few minutes.
This isn't the first time I've experienced something like this. I've spent hours calling Airtel customer care trying to find out how to integrate Airtel Money into our platform. No one I spoke to could help, (I'm sure they were willing) they just didn't have the information.
So it's clear to me that many organizations have a "knowledge silo" problem.
The answers exist but are always just trapped with a handful of people at head office or in a specific department.
This is the kind of problem where AI can have a huge impact.
Imagine every employee having access to a chat assistant backed by the company's policies, workflows, and institutional knowledge. Instead of saying, "Let me check with head office," they could just ask a chatbot and get the right answer immediately.
Suddenly, a customer walking into any branch gets the same quality of service, even if it's an intern behind the desk.
We've built something similar internally, and it's made me notice just how common this problem is across organizations.
@Airtel_Ug@stanbicug
@AravSrinivas@grok please give me real life examples of said "tacit knowledge about the domain and customers and their workflows that the company uniquely understands and has built trust around."
Jevons paradox is often misused as “if something gets cheaper, total spending on it automatically goes up.”
This is not necessarily true as it assumes that demand always rises faster than the prices fall.
But If AI makes software 10x cheaper, but we only buy 3x more software, software spending falls
So the whole question is elasticity: when software gets cheaper, how much more software do people want?
My daily workflow is now mostly:
1. Defining my intent clearly and asking AI to @mattpocockuk /grill-me
2. Verifying acceptance criteria and improving UX after @cursor_ai /thermo-nuclear-code-quality-review + @shadcn /improve passes
3. Spotting where AI keeps missing my taste and turning those into reusable skills
4. Learning new stuff across UX and system design so my taste improves.
@venturetwins@GoogleDeepMind Am I the only one that can't get Omni to do anything?
It keeps saying "I can't complete that request" even if the request is "make something fun"
@GoogleDeepMind 1) Avatars
Record a clip of yourself, and your face + voice will be saved as a character that you can add to any video.
This makes it so easy to put yourself in any clip, while changing your style or outfit as needed to adapt to the scene.
These clips are all my avatar 🤯
@jonathan_wilke@cursor_ai True but it is priced out of range for most users when compared to codex/cc and the price difference is hard to justify even with the better UX factored in.