Agenda

Day Three begins with a simple proposition: trusted commerce is not a slogan but a system. After two days on incentives, voice rights, institutional design and AI, the room turns to the less glamorous machinery that makes markets work: standards, shared data rails, verification, and the governance that persuades serious actors to use them. The morning frames the day as a live design exercise, moving from theory into the practical question behind every credible ecosystem: who builds the commons, who pays for it, and why should anyone trust it?

Trade is full of companies that want transparency, provided someone else pays for the pipes. This fireside chat examines the harder bargain: how competitors decide that certain infrastructure is too important to own alone. The session follows the making of a shared-rails initiative for commerce, where the prize is not a prettier dashboard but a market in which data can move, claims can be checked, and verification stops being a bespoke negotiation.

For circularity, biodiversity, carbon and trade practitioners, it is a case study in the politics of interoperability; for everyone else, it is a look at how rivals learn to cooperate on the rails while still competing on the cargo.

Generative AI has made speed cheap and certainty expensive. This deep dive looks past the model demo to the institutional machinery around it: protocols, audit trails, escalation rules, human review and the stubborn question of who is accountable when a machine-assisted workflow produces a consequential answer.

The session asks how multiple stakeholders can use AI without turning trust into a vibe, and how open tools can make outputs inspectable enough for experts, operators, compliance teams and end users to act on them without giving the institution over to the machine; the goal is not to eliminate human judgment but to place it where it matters most.

Leather is an old market with old rituals: samples, handshakes, relationships and a great deal of off-the-record knowledge. This session follows the attempt to digitize a substantial share of finished leather production without flattening the trust on which the industry runs.

The story is not software versus tradition, but the creation of a new market standard, one that lets tanneries, buyers and brands compare quality, traceability, environmental data and eco-design choices in a form that makes digital participation commercially useful, even attractive, rather than merely compliant.

Forests do not lack evidence; they lack a trusted market language for evidence. Satellite images, permits, field observations, community knowledge and company disclosures all point toward the same landscape, but they rarely speak in a form that institutions can rely on.

This session examines the Forest Evidence Ecosystem and Traceability Lab as an attempt to turn scattered signals into accountability at scale, using shared protocols, verification methods and governance design to make forest claims legible, contestable and valuable to public agencies, companies, financiers, civil society and local stakeholders.

Circularity is where good intentions go to get confused. Materials move, blend, split, reappear and change names, while the record of what they are and who deserves credit for keeping them in use often dissolves along the way.

This session looks at the design of a digital-first chain-of-custody standard that can give circular materials a credible identity across companies, sectors and jurisdictions. The prize is a system in which circular claims become auditable and investable, because the data architecture is shared enough to trust and flexible enough to work in real markets.

We’re entering a renaissance for nature tech: hyperspectral satellites can read landscapes from orbit, acoustic sensors can listen for species, eDNA can find life in a vial of water, drones and edge AI can turn ecosystems into living observatories.

But access isn’t acceptance and instrumentation doesn’t automatically mean implementation. The right tools need to be matched with the right intentions. The challenge is to align the incentives, governance, and shared protocols needed to turn those breakthroughs into a global intelligence commons for protecting nature.

The closing synthesis is where the day stops being a program and becomes a proposition. Participants bring the pieces back together: shared rails for trade, AI workflows, digital standards, traceability labs, implementation support and ecosystem intelligence.

The task is to name what this emerging tribe is actually building, what should remain common, what should remain competitive, and what commitments would turn a room full of aligned people into a durable network capable of carrying the work beyond Barcelona.