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Insights from Crypto Finance Forum 2026 on why tokenization’s next phase depends on operating models, controls, data, wallets, and production-ready infrastructure.
During the Crypto Finance Forum tokenization panel, hosted by Cryptio in London, Amor Sexton, Blockdaemon COO, focused on the institutional work that begins after an asset is represented on-chain. Amor’s remarks shifted the discussion from tokenization as a product category and toward tokenization as a market-structure and operating-model change.
Tokenization will not scale through issuance alone. It requires legal certainty, operating controls, reliable data, wallet infrastructure, governance, and connectivity between on-chain records and off-chain systems. The token may be the visible asset. The institutional model around it determines whether it can be used in production.
Below are three themes from the session.
When asked where issuers get the architecture wrong, Amor reframed the issue around what firms underestimate. The challenge is not only selecting the right chain, wallet, custodian, or token standard. It is designing the processes that allow tokenized assets to function inside regulated financial institutions.
As Amor said, “It’s never just a technology issue. It’s an operational process issue.”
Amor’s containerization analogy offers a more useful frame. In shipping, the container standardized the unit of movement. But the larger economic impact came from the redesign of ports, ships, logistics networks, and operating practices around that standardized unit.
Tokenized assets follow a similar path. The first step is representing an asset on-chain. The larger shift comes when upstream and downstream systems adapt: issuance, custody, settlement, reconciliation, reporting, collateral movement, compliance, and investor servicing.
As Amor put it, “It’s not just a product launch. It’s really transformation holistically.”
This is where infrastructure becomes part of strategy. Nodes, APIs, MPC wallet infrastructure, transaction policies, and data services are not isolated technical components. They form the operating layer that allows tokenized assets to move from proof-of-concept into production.
A central operational challenge emerged when the panel turned to recordkeeping: how institutions should manage the relationship between on-chain records and internal books when the two do not align.
Amor described the issue as “a huge challenge,” then narrowed it to the operational layer: “Legal and regulatory considerations come first, but then it always comes down to data.”
For institutions, tokenization introduces a new recordkeeping problem. Which system is authoritative? How should teams compare on-chain data with transfer agency records, custody books, portfolio systems, and internal ledgers? What happens when a correction is needed after real-time settlement? How should exceptions be governed when the asset record is no longer updated through the same batch-based processes used in legacy markets?
Amor framed the requirement as governance plus operational design: firms need to define workflows while “making sure you can identify where the authoritative record sits.” Amor then pointed to the operational edge cases: “How do you deal with exceptions? How do you deal with corrections that need to be made in a real-time settlement environment?”
Proofs of concept usually demonstrate the ‘happy path’. Institutional production environments are defined by how they handle the exceptions.
Amor made that point directly: as firms move “beyond pilot and proof of concept and into production,” they need to ensure that “all of the unhappy paths, all of the exceptions are identified.”
A mature tokenization stack therefore needs more than issuance and custody. It needs normalized on-chain data, event streams, APIs, reporting, monitoring, auditability, and controls that can support finance, risk, compliance, and operations teams. Without that layer, a tokenized asset may exist on-chain but remain difficult to operate at institutional scale.
Amor also warned against one of the more common failure modes in enterprise technology adoption: using new infrastructure to replicate old processes.
As Amor said, “The wrong move would be to just replicate existing processes, take this new technology and apply it.”
The opportunity is to identify where cryptographic infrastructure can strengthen control, reduce operational risk, and improve how institutions govern digital asset movement.
Amor used multi-party computation (MPC) as the example. Firms should understand “where the technology itself can operate as a risk management tool,” including the role of MPC in key management.
In an institutional wallet model, MPC can support distributed signing authority, segregation of duties, policy-based approvals, audit trails, and resilience against single points of failure. That is where wallet infrastructure becomes part of the control framework rather than a bolt-on custody tool.
The first phase of tokenization proved that financial assets can be represented on-chain. The next phase is operationalizing how those assets are governed, reconciled, controlled, reported on, and integrated into institutional workflows.
For institutions, tokenization will scale through the infrastructure and operating models that make tokenized assets usable in production: secure wallets, reliable nodes, governed transaction workflows, clean data, and systems designed for both the happy path and the exceptions.
The full panel discussion is available on-demand.
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