Transfer agency (“TA”) is becoming one of the pressure points in digital fund distribution. As tokenisation moves into live fund structures, asset managers need to test whether their TA model can support new routes to capital while protecting the register and the control framework around it.
TA keeps the investor register, processes subscriptions and redemptions, and manages investor servicing across the fund lifecycle. The remit is familiar. The expectations around speed, data quality, and connectivity are not.
In a recent webinar, Greg Whitaker, our Regional Head of Product for Transfer Agency discussed this shift with Tina Wilkinson, Partner at Davies, Angie Walker from Apex Digital, and Cath Griffiths, our Global Head of Transfer Agency Product.
This is where Apex is strongly positioned: connecting TA, digital asset infrastructure, onboarding, data quality, and control into an integrated servicing model built for both traditional and tokenised funds
TA is becoming a strategic enabler of digital distribution
For years, TA sat behind the fund structure. It processed investor activity, maintained records, and supported dealing cycles. That role is now more exposed.
Investors expect faster onboarding and instant data access. Asset managers want distribution channels that can reach new investor groups without creating operational gaps. Regulators still expect full due diligence and accurate records.
Cath captured the shift: We are moving away from traditional transfer agency with manual processing to a DeFi experience with real-time automation. Transfer agency is changing from being a back-office function to being a differentiator for asset managers, taking investors on a digital experience for their investments.
That is the real change. TA now sits closer to the data, workflow, and investor record behind each instruction.
This is also where Apex’s breadth matters: the new TA model is not just administration, but an integrated layer of investor servicing, digital connectivity, onboarding, data governance, and operational control.
Tokenisation is raising the bar for fund servicing
Tokenisation is more than a product wrapper. It changes what fund servicing has to support.
According to Angie, clients are moving beyond tokenised share classes and are increasingly tokenising entire fund structures. The reason is commercial: tokenisation can widen distribution, support fractional ownership, and create new paths for liquidity.
We recently placed around $300m of a SkyBridge hedge fund onto the Avalanche chain, giving the issuer access to a global investor base that would have been harder to reach through traditional routes.
Tokenised money market funds show the same pressure from a different angle. Cash-equivalent instruments can move quickly and be used as collateral in repo and secondary markets.
Tina reflected on the market shift: We are seeing huge interest in tokenisation of money market funds. When you see BlackRock, Franklin Templeton, and the largest asset managers in the world moving into this area, you have to ask yourself as a smaller asset manager: can I afford not to follow, or do I wait and see?
For TA, the register has to connect to faster settlement models, digital wallets, and on-chain lifecycle events without lowering institutional standards.
Traditional and tokenised fund models will need to operate side by side
Asset managers are not replacing existing fund structures overnight. Traditional and digital structures will coexist, which puts more pressure on the operating model.
Tina’s point was clear: asset managers should not split legacy share classes and tokenised strategies across disconnected models. That creates fractured data and weakens the investor view.
The provider challenge is practical. Business-hours dealing and round-the-clock access have to sit in the same servicing model. So do T+ cycles, near real-time settlement, intermediary-led flows, wallet-based access, high minimums, and fractional ownership.
AI is changing how TA scales
AI and optical character recognition are changing the economics of onboarding, migration, and exception handling.
Cath gave the example of a fund that onboarded 8,000 investors in a matter of days using OCR, work that once would have required a much larger team. Tina also noted that AI can cleanse data, map records to a new system, and provide test review.
That is why large TA migrations that once took 12 to 18 months can, in the right circumstances, be compressed to around three to five months. Scale is no longer only about headcount. It is about whether the provider can process high volumes without losing data quality, auditability, and control.
Institutional confidence remains the real test
The panel pointed to one signal that matters: a Fidelity money market fund launched through us secured what was described as the first AAA rating granted by a ratings agency to a tokenised fund. Angie linked that rating to transparency around valuation and investor communication.
That is the bar. Tokenisation will only win institutional confidence if it can support the same standards of oversight, reporting, and control expected in traditional fund structures.
Watch the full webinar on demand
The webinar covers how TA is adapting to tokenisation, AI-enabled migration, digital onboarding, wallet-based ownership, tokenised money market funds, and round-the-clock investor expectations.
For asset managers, the question is no longer whether tokenisation will affect TA. It is whether their TA model can support digital distribution at scale without compromising the register, the investor view, or the control framework and whether their administrator can connect those requirements across traditional TA, digital asset infrastructure, onboarding, data quality, and operational oversight.
