Advisers spend around 15 hours per client on onboarding, and more than half of that time has nothing to do with the client sitting in front of them [1]. It goes on chasing documents, re-keying data, drafting follow-up emails, and waiting for systems that don’t talk to each other. That’s not a capacity problem you solve by working harder. It’s a process problem you solve by redesigning the process.

This article walks through how to do that, step by step, in a way that holds up under FCA scrutiny and doesn’t require a large technology budget or an IT department.

What’s actually eating your onboarding time

Before touching any software, it’s worth being precise about where the hours go. Most onboarding processes have four distinct stages, and the inefficiency is rarely spread evenly across them.

The stages are: initial data collection (fact-find, ID verification, source of wealth documentation), internal processing (keying information into back-office systems, compliance checks, file assembly), suitability assessment and documentation (research, drafting, review), and client communication (welcome correspondence, progress updates, next-step confirmations).

In most firms I look at, stages two and three are where the majority of non-client-facing time accumulates. Stage one is slow because it depends on clients returning information at their own pace. Stage four is slow because it’s done manually and repeatedly for each client.

That diagnosis matters because automation works differently at each stage, and targeting the wrong stage first wastes effort.

What level of help do you actually need

Not every firm needs the same solution, and not every problem needs engineering. Before specifying any tool, it’s worth placing each bottleneck at the right level.

Level 1 (education) covers problems you can solve with a better prompt, a smarter template, or a fifteen-minute configuration in a tool you already pay for. If your CRM has a workflow builder and you’re not using it, or if your back-office platform has a document request feature sitting unused, that’s a Level 1 fix. Free. Available today.

Level 2 (integration) is where two or three systems need to be connected so that data flows automatically between them rather than being re-keyed by hand. This is the most common genuine need for IFA onboarding automation. Tools like Make, n8n, or Zapier handle this kind of configuration work. Expect days to a few weeks and a cost in the low hundreds to low thousands of pounds.

Level 3 (custom build) involves real engineering: bespoke pipelines, complex logic, orchestrated AI. Most IFA onboarding processes don’t need this. If a vendor is suggesting you do, push back and ask them to explain why Level 2 won’t work.

The discipline is to solve at Level 1 first, then Level 2 if you genuinely need it. Most firms that come to me thinking they need a custom build actually need a two-hour configuration session and a better template library.

How to map your current process before automating it

Automating a broken process produces a faster broken process. The mapping step is not optional.

Spend two to three hours tracing one recent onboarding end to end, from first contact to file completion. For each step, note: who does it, how long it takes, what triggers it, what system it lives in, and what can go wrong. You are looking for three things: steps that are purely mechanical (copying data from one place to another), steps where the same communication gets written from scratch each time, and handoff points where work sits waiting for someone else to pick it up.

Those three categories are your automation candidates. Decision-intensive steps, anything involving regulated judgement, and any step where a human needs to apply discretion or professional knowledge are not candidates. Keep those human, because they need to be.

The goal isn’t to remove people from onboarding. It’s to remove the mechanical work that stops people from doing the parts only they can do, freeing up your advisers to spend more time with new and existing clients.

What to automate, and in what order

Start with document collection. A secure digital portal, even a simple one, that sends automated reminders and tracks document status will recover more time faster than almost any other single change. Clients who receive a clear, professional request with a simple upload mechanism return documents faster. The adviser spends less time chasing. Most modern back-office platforms include this. If yours does, and you’re not using it, that’s a Level 1 fix.

Second priority: data transfer between systems. The most common source of re-keying is the gap between a fact-find tool and a back-office platform. A Level 2 integration using Make or n8n can typically move structured data between these systems automatically once a fact-find is marked complete, reducing manual entry to an exception-handling task rather than a default step.

Third priority: templated communications. A library of well-written, compliance-reviewed templates for routine onboarding communications (acknowledgement of first meeting, document request, progress update, welcome to service) reduces drafting time and produces more consistent client experience. This is a Level 1 change in most cases. AI tools can help draft these templates, but a human needs to review them for regulatory accuracy and firm tone before they go into use.

Meeting recording and note generation tools sit in this tier too. Technology that captures a conversation and drafts a follow-up note or fact-find summary can recover meaningful time in the post-meeting stage, but the resulting output must be reviewed and confirmed by the adviser before it enters any client file or informs any recommendation [2].

What the FCA expects when you automate client-facing processes

The FCA’s expectations around Consumer Duty are directly relevant here. The duty requires firms to deliver good outcomes for clients, which includes ensuring that the onboarding process itself is clear, fair, and not misleading, that clients understand what they’re being asked for and why, and that the firm can demonstrate it has the client’s genuine engagement and informed consent at each stage [3].

Automation supports all of this, done correctly. Consistent, well-structured communications reduce the risk of clients misunderstanding what’s being asked. A properly configured workflow with documented steps is easier to audit than a process that depends on individual memory. Automated reminders reduce the chance that a client falls through the cracks.

But there are places where automation can work against Consumer Duty if it isn’t implemented carefully. An automated process that routes every client through an identical journey regardless of their complexity or vulnerability fails the individualisation requirement. A system that chases document submission without any mechanism for a client to flag difficulty or ask a question creates friction that the duty is specifically designed to remove. Any automated communication that a client might reasonably read as advice, rather than administration, carries regulatory risk.

What to do if you’re implementing onboarding automation for FCA compliance:

  1. Document your process map. Before and after. The FCA expects firms to be able to demonstrate that their processes produce good client outcomes. A written process map is the foundation of that demonstration.

  2. Review all automated communications against the Consumer Duty fair value and communications standards. Every templated email or message is a regulated communication. Have your compliance officer or a suitably qualified person review them before they go live.

  3. Build in vulnerability identification. At minimum, your intake process should give clients a clear and easy way to indicate that they need additional support. An automated system that doesn’t surface this to a human promptly is a Consumer Duty gap.

  4. Keep human review explicit at regulated decision points. Any AI-assisted output that informs a suitability assessment, a recommendation, or a regulated document must pass through a human review step that is logged. “The system drafted it and I checked it” is a legitimate workflow. “The system handled it” is not.

  5. Audit the process periodically. Set a calendar reminder to review how the automated workflow is performing every six months. Are clients completing onboarding faster? Are there patterns in where things stall or clients disengage? Consumer Duty requires ongoing monitoring of outcomes, not just a one-time design review.

On AI tools specifically

Several AI-assisted tools now exist for specific onboarding tasks: summarising meeting notes, generating first drafts of suitability-adjacent documents, and extracting structured data from uploaded documents. Used well, these can reduce the time cost of the third and fourth stages of onboarding considerably.

Used carelessly, they create compliance risk. Any AI system produces outputs that require human review before use in a regulated context. This isn’t a precaution worth skipping when you’re busy. It’s the step that keeps the process defensible.

There’s also a vendor selection consideration here. Gartner has noted that a significant proportion of tools marketed as AI agents in 2026 are rebranded legacy automation with a new label [4]. Before building an onboarding workflow around any specific AI tool, satisfy yourself that the vendor has genuine substance behind the capability claim, that the contract covers your data rights clearly, and that your workflow can survive if the tool is discontinued or pivoted. Vendor dependency is a business continuity risk for any firm in a regulated environment.

The realistic outcome

Intelliflo’s data suggests that firms that systematically reduce non-client-facing onboarding time can achieve around a 20% increase in average clients per adviser [1]. That’s not a number you should take as a guarantee for your firm. It’s a direction of travel, and it makes sense: if an adviser currently spends seven or eight hours of each fifteen-hour onboarding on mechanical tasks, and you recover most of that, you’ve meaningfully changed their capacity.

The firms that get there are the ones that start with the honest process map, fix the Level 1 things first, and build the Level 2 integrations carefully rather than chasing a system that promises to do everything.

If you want to work through what this looks like for your specific firm, 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 Insights, “Time spent on client onboarding and adviser capacity data” (2026). Vendor-sourced. Supports the 15-hours-per-client and 20% capacity increase figures. The underlying data collection methodology is not independently verified.
  • [2] Intelliflo Insights, “AI-powered client engagement and meeting tools” (2026). Vendor-sourced. Supports the claim that meeting recording and note generation tools are available to advisers.
  • [3] Financial Conduct Authority, Consumer Duty (PS22/9), final rules and guidance (July 2022), https://www.fca.org.uk/publications/policy-statements/ps22-9-new-consumer-duty
  • [4] Gartner, Hype Cycle for Agentic AI (2026). Vendor-sourced research. Supports the ‘agent-washing’ characterisation of rebranded legacy automation tools.