This article is part of Chelmer’s managed accounts complete guide, a comprehensive resource on technology, growth and implementation for financial institutions.
Most firms evaluating managed account technology can describe the benefits in general terms: less manual work, more clients per adviser, better client reporting. Fewer can put a number on it. And without a number, the business case competes for budget against projects that can point to a clean payback period.
That gap matters more than it used to. Deloitte’s Centre for Financial Services research puts the scale of the problem in stark terms: advisers currently spend close to 70% of their time on administrative and operational work, leaving roughly 30% for the client relationships that generate revenue and referrals. Deloitte projects that automation and AI-assisted workflows could shift that ratio meaningfully over the next several years, potentially freeing between a quarter and half of the time advisers currently lose to lower-value tasks, the difference between a practice that can grow and one that’s structurally capped by its own back office.
We see the same pattern from the technology side of the table. Portfolio managers and technology directors assessing managed and discretionary accounts usually understand the qualitative case well before they come to us. What they need is a way to turn that into numbers a finance team will sign off on, not another list of features.
Why the ROI is hard to pin down
The difficulty isn’t a lack of benefit. It’s that most of the benefit shows up as things that stop costing money, rather than new revenue that’s easy to point to on a spreadsheet. A licence fee is a line item. The hours an adviser no longer spends manually placing rebalancing orders across a hundred portfolios are not, unless someone deliberately measures them.
This is a comparison problem we see regularly. Firms tend to price a new platform against what they’re paying today for software, without pricing in what the current setup costs in adviser time, compliance exposure and capacity they can’t use. A system that looks expensive on a licence-fee comparison alone can be considerably cheaper once the full picture is priced in, and this is the single biggest reason a well-reasoned business case gets rejected: it was never comparing like with like.
Getting to a workable ROI figure means separating the calculation into two honest halves, the true cost and the true return, over a stated period. We’ll take each in turn.
What the technology actually costs
The direct costs are the part most firms already model well: licensing or subscription fees, implementation and configuration, data migration, integration with existing systems such as custody, CRM and execution management, and ongoing support. This is where budget owners default their attention, since it’s the part with an invoice attached. The risk is treating it as the whole picture rather than half of it.
The half that’s usually missing is what the current approach already costs. If advisers are placing rebalancing orders manually, that’s a recurring labour cost, not a sunk one. If a model change takes days to reach every affected portfolio, some clients are exposed to market movements longer than others, and that’s a risk cost. If compliance checks depend on someone remembering a particular client’s exclusions, that’s an audit and error cost that only becomes visible when something goes wrong.
None of this appears on an invoice. All of it belongs in the calculation. A useful starting exercise: for every recurring manual task in the current process, estimate the hours per week it consumes and multiply by a loaded staff cost. Annualised, that figure, not zero, is the baseline the new technology needs to beat.
What it actually returns
The clearest lever is capacity. When routine rebalancing, order generation and reporting are automated, an adviser can service more clients without a proportional increase in headcount. The metric worth tracking alongside this, and one that’s often overlooked, is the ratio of target models to client portfolios. A firm running 30 models across 500 clients is operating at a materially different efficiency level than one running close to a one-to-one model-to-client ratio, and that ratio translates directly into how many clients each adviser can realistically support.
There’s a revenue-model shift underneath this too. Firms moving from a transactional fee structure to a service-based, percentage-of-portfolio fee gain recurring revenue that doesn’t depend on market activity or transaction volume. This shift is often what makes managed account technology viable for a practice in the first place, since it converts lumpy, market-dependent income into something closer to predictable.
The wider market data is worth factoring into the case too. The State Street/Investment Trends 2026 Managed Accounts Report, based on more than a thousand Australian advisers, found adviser use of managed accounts at a record high, with the majority now treating them as the core portfolio solution rather than a satellite allocation, and average core allocation to managed accounts climbing to around two-thirds of the portfolio. New client flows into managed accounts also grew year on year. The firms best placed to serve that growing allocation are the ones whose technology can already support it.
There’s a behavioural return too, one that’s easy to underweight because it doesn’t show up as a line item. Over 40% of advisers in that same research reported that clients in managed accounts stayed more confident and made fewer impulsive changes during volatile markets, compared with clients outside managed accounts. Fewer distressed client calls and fewer poorly timed switches represent a real, if currently unmeasured, saving on adviser time.
Then there’s execution speed. When a model change can reach every affected portfolio in hours instead of days, firms avoid the cost of delayed rebalancing, clients left overweight in a security that needed removing, or underweight in one that needed adding. A reasonable proxy here is the reduction in average time from model decision to full portfolio execution, priced against the value of the assets typically affected by a rebalance.
And finally, compliance. Automated rule validation catches breaches before they happen instead of after an audit finds them. The return shows up as fewer compliance exceptions, less time spent on remediation, and a stronger position if a regulator asks for evidence of process. It’s the least visible line in the model, and in our experience, often the one that most influences whether a project gets approved.
Putting a number on it
There’s no single formula that fits every firm, but the structure is consistent. Start by baselining the current cost per client: add up adviser time spent on manual rebalancing and reporting, compliance and remediation time, and whatever technology is already in place, then divide by client count. From there, model the capacity uplift the new technology enables, based on the adviser-to-model ratio it supports, and estimate how many additional clients each adviser could realistically take on without adding headcount.
Price the implementation cost honestly at this stage. Include licensing, configuration, data migration, integration, and the change management effort covered in the pillar guide’s implementation section. Underestimating this step is the most common way an ROI projection loses credibility once the project is underway and the real invoices start arriving.
Then set a timeframe and calculate payback: compare cumulative cost against cumulative return, cost savings plus new capacity revenue, month by month, and identify where the two lines cross.
To make this concrete, take a simplified, illustrative example rather than a real client’s figures. A firm with ten advisers managing 400 clients on largely manual processes might be spending in the order of $180,000 a year in adviser time on rebalancing and reporting that automation would remove. If new technology raises average capacity per adviser from 40 to 65 clients without added headcount, and the firm converts even a portion of that added capacity into billable relationships, the combined saving and new-capacity revenue can outweigh a mid-six-figure implementation cost within two to three years. The actual figures will vary a great deal by firm size, fee model and how manual the current process is, which is exactly why running the calculation on your own numbers matters more than benchmarking against anyone else’s.
What to keep measuring afterwards
The ROI case shouldn’t end at the approval stage. We’d encourage tracking the adviser-to-client ratio quarterly against the pre-implementation baseline, along with the model-to-portfolio ratio as a proxy for scalability, the time from model change to full portfolio execution, cost per client recalculated annually, compliance exceptions per quarter, and revenue per adviser, particularly where the firm has shifted to a service-based fee model. These are the same metrics discussed in the pillar guide’s section on operational efficiency gains, and they’re worth building into a standing report rather than left in a one-off business case document that’s rarely revisited.
Why the technology you choose changes the equation
Not all managed account technology returns value the same way. Generic SaaS platforms are cheaper to license but harder to customise, which caps the personalisation-at-scale benefit described above. Fully bespoke builds can match a firm’s exact workflow, but they carry higher upfront cost, longer implementation timelines, and the ongoing risk of maintaining proprietary code with a small internal team.
Myriad sits between those two positions: custom-configurable rather than fixed, with the underlying platform knowledge held centrally by Chelmer rather than a single internal team. That distinction changes both sides of the ROI equation, lower ongoing maintenance risk on the cost side, and the ability to keep extending the personalisation and automation benefits on the return side as the platform evolves with the business, rather than needing to be replaced in five years.
The business case in one line
Managed account technology pays for itself through capacity, not through cutting the licence fee. Firms that build the case on adviser time, compliance risk and the cost of standing still tend to get it approved. Firms that compare software prices in isolation usually don’t, and spend another year defending a process that’s costing them more than they’ve measured.
To work through this calculation against your own numbers, speak with our team.