What AI can do in fund administration
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AI can shorten the distance between a question and an answer in fund administration. It can retrieve registry data in plain English, explain system functionality, and carry out routine processes, with a person approving each step. For fund managers, that means less time on manual work and more time on investors, oversight and growth.
This article covers where AI adds value in fund administration, what to look for in a solution, and how Titanium's AI assistant, TAI, applies these ideas inside the Titanium's fund management system, Unitise.
Why fund administration is ready for AI
The Australian funds management industry is now valued at between $3.5 and $4 trillion, up from $2.5 trillion in 2021. Globally, the industry is on track to surpass $200 trillion by 2030.
Growth on that scale adds volume. There are more investors, more transactions, more reporting requests and more processes to run accurately and on time. Operations teams are expected to handle that load without proportionate growth in headcount, while investors expect information to be available whenever they ask for it.
Fund administration suits AI for three reasons:
- The work is structured. Registers, unit prices, distributions and commitments follow defined rules, which gives AI clear parameters to work within.
- Much of the work is repeatable. Routine queries and standard processes consume skilled time that could go to judgement-based work.
- The cost of delay and error is high. A slow response to an investor or a mistake in a distribution has real consequences, so accuracy and speed both matter.
What to look for in fund administration AI
Not every AI tool suits a regulated environment. Before adopting one, weigh these points.
| Consideration | What good looks like |
|---|---|
| Human oversight | The AI proposes actions and a person approves them before anything executes. |
| Data privacy | Client data stays protected, and the underlying AI models do not see it. |
| Integration | The AI works within your fund management system rather than as a separate tool. |
| Access control | Permissions can be set by role and user group. |
The first two deserve the most scrutiny. Fund administration involves sensitive investor information and consequential transactions, so an AI that acts without approval, or that exposes client data, adds more risk than it removes.
Meet TAI: Titanium's AI assistant
TAI is the AI layer built into Unitise. It does more than answer questions: it can also assist and act.
TAI is powered by three specialised agents working under a single intelligent supervisor, which routes each request to the agent best suited to it.
- ATHENA provides guidance, user support and system knowledge.
- ARTEMIS is a data agent that queries your registry using plain English.
- ATLAS is an operations agent that can execute complex fund processes on your instruction.
You might ask TAI who holds more than 5% in a fund, ask it to explain a term you have not met before, or instruct it to run a distribution. TAI decides which agent should handle the task.
TAI is built on leading AI models, including Anthropic Claude and Amazon Nova, within a modular AWS ecosystem. New models can be adopted as they emerge, so your operations keep pace with developments in AI without a platform migration. Administrators can also configure access at the role and user group level, so each person uses TAI within the scope appropriate to their position.
What makes TAI different?
We have no interest in AI for its own sake. We built TAI to be practical, efficient and, above all, secure. It takes a security-first approach, so your data stays safe and protected at every step.
You stay in control
TAI works on a human-in-the-loop basis, so nothing executes without your approval. Every action it proposes is yours to review, accept or reject.
Control extends to your data. Some AI tools pass client information to external models for processing. TAI's privacy-first architecture means the underlying models never see your client data. For a fund manager responsible for sensitive investor information, that is the difference between adopting AI with confidence and adopting it with reservations.
Faster access to data
Pulling information from a registry often means building a report or asking a colleague who knows where to look. ARTEMIS removes that step. Ask a question in plain English and get the answer directly, without a report request or a specialist query.
Less manual work
Routine processes take up a disproportionate share of an operations team's day. With ATLAS, you can instruct TAI to run a defined process, such as a distribution, and approve the result. Your team spends less time on repetitive steps and more on exceptions, oversight and investor relationships.
Where to start
TAI is now in open testing for all Titanium users. If you are a Titanium client and would like to try it, or if you have questions about how it could fit your operations, contact our support team.