@Hypersatyaa@arc Thanks for sharing @Hypersatyaa
The regulatory uncertainty point is key. In B2B trade, stablecoins already beat traditional rails on speed and cost. The use case is proven - it's the policy framework that needs to catch up. India getting this right would be huge for APAC trade.
@johnsonstratCFO An interesting move by Adyen!
I agree billing is too critical to be an afterthought. The real unlock is when AI agents own the full revenue cycle - billing accuracy to receivables collection to cash forecasting.
@Charu_Sethi Great read. Visa isn't competing on settlement - they're competing on trust infrastructure for agentic commerce. The trust layer question is huge for B2B too. When AI agents transact on behalf of businesses, who validates they're authorized? That's the unsolved piece IMO.
@kraken_kevin Exciting times.
This is exactly what we're building at Reevol- AI agents that handle buyer verification, payment terms, and collections end to end. The manual follow-up loop is the #1 cash flow killer for SMBs selling globally. Agentic AR is inevitable.
@bgyankarki Sounds exciting! Extraction is table stakes - the real value is an AI that understands financial logic.
At Reevol we see the same with receivables: agents that reason about invoices, not just read them, catch issues humans would miss. Happy to learn more
@brentwpeterson Spot on - this is exactly the problem I often see. B2B flows are where Shopify often fall apart - net terms, credit checks, buyer verification all need to work together.
@suhas_sri Interesting framing. I think there are many nuances and effects to the AI-era.
What I see for the India SME goods exporting sector, that AI is enabling them much easier than before to access credit, find buyers, and manage FX risk at a fraction of what it used to cost.
@ali_asgar_raja Exactly - we see this issue all the time!
The 60-day cash gap kills global sellers quietly. I beleive that the fix is AI that underwrites trade credit in real time - assess the buyer, fund the seller, close the loop before the invoice goes overdue.
@PaulBujak Exciting times.
Invoicing is one of those workflows where AI agents can own the entire loop - from creation to reconciliation. MCP as the protocol layer makes it composable with other agentic tools.
The future of back-office is agent-native, not just AI-assisted.
@mrstephendeng Spot on. The shift from financial inclusion to global bilateral payments is the real story. Cross-border B2B trade needs AI-native infrastructure, not just payment rails - receivables management, credit risk, cash flow prediction.
@FwazSol Agree. Most current 'agentic' commerce today is just API calls with a chatbot wrapper.
Real agent-to-agent trade needs autonomous credit decisions and payment execution, and these are still not really live.
@AdValoremGP 100%. The real unlock are AI agents that don't just run automation, but deliver insights and can take actions. That's where SMBs will get the biggest lift.
@TKopelman Exactly - I often see B2B sellers who are brilliant at sourcing and selling but flying blind on cash flow and receivables. This is the exact gap AI agents are gradually starting to fill.
@Ajetcrypt@lifiprotocol A great point. The gap between DeFi 'close enough' and enterprise 'exact to the cent' is where most stablecoin products break. CFOs need deterministic settlement, not chain abstractions.