Advisers spend around 15 hours per client on onboarding, and more than half of that time is not spent with the client at all[1]. It goes on chasing documents, re-keying data, formatting letters, and waiting on third parties. That is not relationship-building. It is administration wearing a relationship’s clothes.
The question is not whether to automate some of that. The question is which parts to automate, how, and where to make sure the human element is not just preserved but made more deliberate.
What automation is actually for in onboarding
Automation in onboarding exists to do one thing: give advisers more time for the work only they can do. It does not replace the relationship. It removes the tasks that are getting in the way of it.
The practical targets are document collection, ID verification, data transfer between systems, progress chasing, and appointment reminders. These steps follow predictable logic, involve no professional judgement, and are exactly the kind of work that automation handles reliably. A workflow can send a document request, track whether it has been completed, chase it after 48 hours, and flag it to the adviser if it is still outstanding after five days. The adviser does not need to be involved until there is something that requires their judgement.
The work that should stay human: the first conversation, the risk discussion, any moment where a client is making a decision they do not fully understand, and anything that depends on reading the room.
The 15-hour problem and where the time actually goes
Intelliflo’s research puts the figure at around 15 hours per client for onboarding, with over half of that spent on tasks that do not involve the client directly[1]. For a firm onboarding 50 new clients a year, that is roughly 375 hours of non-client-facing work. At a conservative cost of £50 per hour for adviser or paraplanner time, that is £18,750 a year in pure process overhead, before you account for the opportunity cost of growth.
Automating even half of that non-client-facing time does not mean cutting corners. It means redirecting professional attention to the conversations that actually build the relationship and generate the revenue.
Intelliflo’s data from firms using integrations like wealthLink and zeroKey shows a 20% increase in average clients per adviser as a result of efficiency gains[2]. That is not a marginal improvement. It is a structural change in what a firm can do with the same headcount.
Where to start: the new client advantage
There is a useful principle here that I find consistently holds in practice. New clients have no existing habits with your firm. They have not yet formed an expectation of how you do things. That makes the onboarding process the ideal place to introduce digital tools and automation, because there is no friction of re-learning an old process.
Existing clients who have always received a paper pack and a phone call will notice if you change that. New clients will simply experience whatever you set up as normal. If your digital journey is smooth and well-explained, they will see it as professional and efficient. This principle, that setting a digital-first expectation from the very first interaction reduces the need to reset it later, is well-established in fintech adoption practice[3] and is real: set the expectation correctly from the first interaction, and you rarely have to reset it later.
Practically, this means introducing automated document collection, digital ID verification, and progress-tracking portals as standard for new clients, even before you roll them out to your existing book.
How to keep the relationship in an automated process
Automation does not hollow out a relationship unless you let it. The risk comes from applying it indiscriminately to every touchpoint, including the ones where a human presence actually matters.
The test is not whether a step can be automated. It is whether automating it removes something the client would notice and value.
A progress-chasing email? Automate it. The client wants to know where things stand, and they do not particularly want to call your office to find out. A welcome call after the initial fact-find? Do not automate it. That is the moment a client decides whether they trust you.
One principle from a16z’s “barbell” model for AI in client services is worth taking seriously here[4]: use automation for high-volume, low-value interactions so you can concentrate genuine human time on the interactions that matter most. In onboarding terms: automate the document chase, the reminder, the status update. Reserve the adviser’s attention for the discovery conversation, the recommendation discussion, and the moments of genuine client concern.
A firm I have seen do this well has a simple rule: any touchpoint that is informational gets automated, any touchpoint that is decisional stays human. It is not a complicated framework. It is just a deliberate choice about where the relationship lives.
Transparency about what is automated
There is a Consumer Duty dimension here that is worth being explicit about. Clients interacting with automated communications should always know they can reach a person, and any automated system that resembles a conversational interface should make clear that it is not a human agent[5]. This is not just good practice. It is a trust-building mechanism that, if absent, can undo the relationship work done everywhere else.
In practice, this means automated emails and messages that are signed clearly by the firm (not mimicking a personal adviser email), a visible and easy route to contact the adviser or their support team, and no ambiguity about when a client is dealing with an automated step versus a person.
Done well, this transparency actually builds confidence. Clients know you are running an efficient, well-organised process, and they know you have thought about when their situation needs a real conversation.
A practical starting point
If your firm is spending more than ten hours per client on onboarding and you have not mapped where those hours go, that is the first step. Not a technology decision. Not a procurement exercise. A simple audit.
First, map the current process. Walk through every step from initial enquiry to completed onboarding. Note which steps involve professional judgement, which are administrative, and which are simply waiting. You are looking for the waiting and the administrative steps. Those are your automation targets.
Second, separate the informational from the decisional. Informational steps (document requests, status updates, reminders, data transfers) can be automated without affecting the client relationship. Decisional steps (risk discussions, recommendation presentations, any moment a client has a question) should stay in the hands of the adviser.
Third, introduce digital tools at the new-client boundary first. Test the automated journey with new clients before you roll it back through your existing book. That limits re-learning friction and gives you a clean data point on how clients respond.
Fourth, check your consent and data handling. Any automated system collecting or processing client personal data needs to operate within your existing GDPR framework. The EDPB has published guidance noting that vague or over-broad consent in professional services contexts can create ambiguity and compliance risk[6]. Make sure your digital onboarding captures specific, purposeful consent, not a blanket agreement buried in a welcome email.
Most firms I speak to can get substantial efficiency gains at Level 1 or Level 2 of this problem: either adjusting how they use tools they already have, or connecting two or three existing systems so data stops being re-keyed manually. Custom engineering is rarely where this problem lives.
What this does for client experience, not just efficiency
There is a version of this conversation that is purely about cost and capacity. Fewer hours per client, more clients per adviser, better margins. That is real and worth pursuing.
But there is a more interesting version, which is what happens to the quality of the relationship when advisers are not spending seven-and-a-half hours per client on tasks that could be handled automatically.
Dunbar’s number, the anthropological principle that humans can maintain roughly 150 stable relationships, matters here[7]. An adviser managing 75 or more clients is already at the edge of what is cognitively manageable for genuine relationship work. If six or seven of those hours per new client are freed up by automation, that time can go back into the conversations that actually matter: longer discovery sessions, more proactive annual reviews, better preparation before client meetings. The relationship does not get worse when you automate the administration. It gets better, because the adviser’s attention is no longer being consumed by process.
That is the outcome worth optimising for. Not just efficiency, but the quality of what the human relationship can be when it is not buried under paperwork.
If this is a problem your firm is working through, a discovery call with Cordrey Consulting is a good place to start.
This article is for informational purposes only and does not constitute regulated financial advice or a compliance opinion. Consult a qualified compliance professional for advice specific to your firm.
Sources
[1] Intelliflo, ‘Take a simpler route to leading funds with intelliflo and wealthLink’, Intelliflo Insights, 23 May 2026. Available at: https://www.intelliflo.com/insights/thought-leadership/take-a-simpler-route-to-leading-funds-with-intelliflo-and-wealthlink
[2] Intelliflo, ‘Streamlining processes: how Atkins Bland is making the most of intelliflo Office’, Intelliflo Insights, 23 May 2026. Available at: https://www.intelliflo.com/insights/success-stories/streamlining-processes-how-atkins-bland-is-making-the-most-of-intelliflo-office
[3] Intelliflo Insights, ‘intelliflo Interacts Episode 4’, 23 May 2026. Available at: https://www.intelliflo.com/insights/success-stories/intelliflointeractsepisode4
[4] a16z Show, ‘Barbell strategy for AI in client services’, 10 June 2026.
[5] AI in Business, ‘Transparency in AI-assisted client interactions’, 17 June 2026.
[6] EDPB, ‘Guidelines 1/2026 on processing personal data for scientific research purposes under Article 89 GDPR’, European Data Protection Board, 2026. Available at: https://www.edpb.europa.eu/our-work-tools/documents/public-consultations/2026/guidelines-12026-processing-personal-data_en [Note: public consultation document; the guidance on consent specificity cited here reflects the draft position. Firms should monitor for the finalised version before treating it as settled regulatory requirement.]
[7] Intelliflo Insights, ‘intelliflo Innovate 2026: building the agentic open platform for financial advice professionals’, 17 June 2026. Available at: https://www.intelliflo.com/insights/thought-leadership/intelliflo-innovate-2026-building-the-agentic-open-platform-for-financial-advice-professionals