@AndrewCurran_ Exactly this. Permission is the missing piece. The fix is making every agent show who it is and who authorized it before it touches an account. That's what we're building at @beltichq btw
We're partnering with @onkeiki to build a world where legitimate agents are recognized and accepted by merchants, instead of blocked.
Agents are already shopping, booking and buying on our behalf. The open question is trust: how does a merchant know the agent at the door is legit? That's what we're solving together.
Through this partnership, we're putting verified agent credentials to work in real commerce flows, so merchants can tell a trusted agent from a bad actor in milliseconds, and good agents never get caught in the fraud filters.
If you're a merchant looking to safely accept agents, come talk to us.
The best use case for Instinct so far is using it as a personal assistant while you're working non stop at a Conference. We're in Money20/20 now and its a game changer.
Beltic will be at @money2020 next week with our first-ever booth.
As AI agents begin to act on behalf of consumers and businesses, questions of identity and trust are becoming central to financial services.
We look forward to discussing these topics with the community. You can find our team at Booth SU11.
Come talk to us.
@Isha@mikeallanpe@lbcastll
I used instinct to buy baby gifts for two friends. And shit happened.
One couple is having a boy, the other a girl. The agent asked if I wanted colors to lean boy/girl or stay neutral. I said “neutral is fine.” Both orders were paid and went through.
Then nothing shipped.
Guess what, each item needed a color. The agent never picked one, the merchant accepted the order anyway, and the fulfillment system couldn’t process it.
You see, @jbahrdestefano it’s not only you lol
Most of the companies out there built their flows for humans. Agents act differently, they guess, skip, or improvise. When that happens, shit happens.
If your company is accepting AI agents you must track all of their actions. Understand if those actions match against the intent of the user, preventing incorrect actions before they happen.
Easy to think about this use case by itself. But when you imagine thousands of agents every hour coming to your platform, dealing with this scale will be a challenge.
There are some cool folks working on this, if your company is facing any issues, talk to them. They're called @beltichq
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