As highlighted by our CEO, the latest milestone goes beyond funding, it represents a step toward building the next generation of global payment infrastructure for the internet economy, AI-native commerce, and cross-border financial access for everyone.
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The hardest problem in AI is not intelligence, but accountability and trust.
Four out of five organizations have already deployed AI agents at some level. These systems are making financial decisions, coordinating healthcare protocols, running supply chains, and handling customer interactions, often without a human in the loop at any intermediate stage. The governance frameworks meant to oversee them are months, possibly years, behind where deployment already is.
I was on a panel recently with Arsalan Shakeel, Dr. Hazem Ahmed, PhD, and Pankajj Ghode exploring this exact territory. We got into autonomous decision-making, enterprise readiness, trust frameworks, what's actually being built versus what's being announced. The conversation was sharp. But one question kept surfacing that we didn't fully resolve: when an agentic system causes harm, can you reconstruct exactly what happened, at the exact moment it happened, in a form that can't be altered after the fact?
In most deployments today, the answer is no, and that is not a monitoring problem, but an infrastructure problem.
My view is that intelligent systems require forensic-grade rails underneath them to be genuinely accountable. Not compliance dashboards, or observability tools. Immutable, timestamped, tamper-proof infrastructure that closes the learning loop every time something goes wrong, so it doesn't go wrong the same way again.
I've written up the full argument, including where existing governance frameworks fall short and what the architecture of trusted agentic AI actually needs to look like.
Link in the comments
Our latest Roundtable episode featuring Richard Vasquez for an exclusive MakaChain Tech Talk is now available on our official YouTube channel.
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AI agents can already act autonomously.
The next challenge is accountability.
Join @PeterMarirosans and @ChrisJourdan to discuss what’s needed to build trust in the agentic economy.
👇
@crypto_ideology@Veilnet_@Shroudfi Privacy and accountability 🔐 don’t need to be opposites.
That’s one thing I’ve always found interesting about the direction @Concordium is taking 👀
AI agents can already transact, execute, and coordinate.
But one question remains largely unanswered:
Who is accountable when something goes wrong?
Tomorrow, our CTO @PeterMarirosans joins @ChrisJourdan to discuss agent identity, accountability, and the infrastructure needed for the agentic economy.
Tune in 👇
Scenario:
Someone seeks medical advice online.
An AI health agent is given access to patient records.
It recommends a treatment.
The recommendation causes harm.
An investigation begins.
Who is accountable?
The agent exists.
The wallet exists.
The transaction history exists.
The responsible person doesn’t.
That’s the difference between an agent registry and an accountability layer.
As AI agents move into healthcare, finance, and other regulated industries, proving an agent exists won’t be enough.
The harder question is:
Who stands behind it?