Introducing AI in an advice firm: a practical rollout plan
A step-by-step plan for introducing AI in a small advice firm: choosing the first job, the DPIA, data and accounts, supervision and sign-off, and measuring whether it worked before you go further.
On this page
- Introducing AI in an advice firm: the plan at a glance
- Steps 1 and 2: choose one job and measure it
- Step 1: choose one job
- Step 2: measure the baseline
- Step 3: data protection and the DPIA
- Step 4: accounts and tools
- Step 5: supervision and sign-off
- Steps 6 and 7: pilot, measure and decide
- Frequently asked questions
- What is the best first AI job for an advice firm?
- Does a small firm really need a DPIA for AI?
- How long should an AI pilot run?
Most small advice firms do not have an IT department, a data protection team or a spare month to run a technology project. They do have a clear sense that AI could take some of the writing and checking off their plate, and a reasonable worry about getting it wrong with client data.
Introducing AI in an advice firm does not need to be a big programme. It works best as a series of small, controlled steps: one job, one set of safeguards, one measurement, then a decision. This plan is written for firms of one to a few dozen advisers, and it can be run by the principal and whoever looks after compliance.
Introducing AI in an advice firm: the plan at a glance
| Stage | What you do | What you end up with |
|---|---|---|
| 1. Choose the job | Pick one recurring task to start with | A clear, narrow scope |
| 2. Measure the baseline | Time a handful of examples done by hand | Hours per item, before |
| 3. Data protection | Complete a DPIA and record your lawful basis | A signed-off assessment |
| 4. Accounts and tools | Set up the AI account and the software | Approved tools, firm-controlled access |
| 5. Supervision | Decide who reviews output and how it is recorded | A written review step |
| 6. Pilot | Run it for a month with one or two people | Real results on real work |
| 7. Measure and decide | Compare time and quality with the baseline | A decision to extend, adjust or stop |
Steps 1 and 2: choose one job and measure it
Step 1: choose one job
Resist the temptation to start with everything. The best first job has four features:
- It is frequent. Something done every week, so a month's pilot produces enough examples to judge.
- It is mostly mechanical. Reading, extracting and drafting, with the judgement at the end.
- It is always checked. A person reads the output before it reaches a client or a file.
- It is easy to measure. You can time it and count the corrections.
Good candidates include the discovery summary after a first meeting, the annual review document, a compliance file check or a meeting review for coaching. In the NextWealth study for Fidelity, advisers reported spending 20% of the day preparing reports and plans and 18% on compliance and admin, so there is usually no shortage of options.
Step 2: measure the baseline
Without a "before" figure, you will never know whether the change worked. Time five to ten examples of the chosen job done the current way, from opening the first document to final approval. Note how many drafts it took and anything that went wrong. Our article on the cost of admin in a financial planning firm shows how to turn those hours into a monthly cost.
Step 3: data protection and the DPIA
This is the step firms most often skip, and the one that matters most. The ICO's (now the Information Commission's) guidance on AI and data protection says: "In the vast majority of cases, the use of AI will involve a type of processing likely to result in a high risk… and will therefore trigger the legal requirement for you to undertake a DPIA." It also says "it is your responsibility to decide which lawful basis applies". The ICO marks that guidance as under review after the Data (Use and Access) Act, so check the current version.
A proportionate DPIA for a small firm covers:
- The data. Which client documents, transcripts or recordings will be processed, and whether they include health or other sensitive information.
- The parties. Every company that touches the data: the software vendor, the AI provider and any recording service.
- The flow. Where data is stored, where it is sent, and who can see it.
- The risks. Errors reaching clients, data going to the wrong place, staff using personal accounts.
- The controls. Review before sending, approved tools only, access limited to named staff.
- Lawful basis. Recorded, with your reasoning.
Update your privacy notice if the processing is new to clients.
Step 4: accounts and tools
Decide early whose AI account the work will run through. Some products process data under the vendor's own arrangements; others, including ours, use the firm's own Claude or ChatGPT account, signed in with a subscription or an API key. Either way, read the AI provider's terms on retention and training use, and record what you found in the DPIA.
Two practical rules help a great deal:
- Firm accounts only. No client data in personal AI accounts, ever. Write it down and tell everyone.
- Named users. Know who has access, and remove it when people leave.
Our apps are desktop apps for Mac and Windows. Keys are stored in the computer's own keychain (macOS Keychain or Windows Credential Manager), and IFA Tools does not hold the firm's client data; the AI provider the firm chose processes it under the firm's own account.
Step 5: supervision and sign-off
The FCA has no AI-specific rules. Its blog of 8 June 2026 says it will "rely on existing frameworks, including the Consumer Duty, the Senior Managers and Certification Regime (SM&CR), and our expectations on governance and controls." So treat AI output like any other work that needs supervising:
- One owner. A senior person who is accountable for how the firm uses AI.
- A written review step. Who checks each output, what they check it against, and where the approved version is kept.
- Traceability. Prefer tools that show where figures and findings came from, so checking is quick and evidenced.
- An error log. Note every correction during the pilot. It tells you where the tool is weak and is useful evidence of supervision.
Steps 6 and 7: pilot, measure and decide
Run the pilot for a month with one or two people who are willing to give honest feedback. At the end, compare three things with your baseline:
- Time per item, including the review.
- Quality: corrections needed, errors caught, and whether the reviewer would sign it off with confidence.
- The team's view: does it make the job better or just different?
If time falls and quality holds, extend to the rest of the team and choose the next job. If not, adjust the process or stop. A stopped pilot that cost a month is far better than a firm-wide change that never worked. For a fuller view of where AI helps and where it does not, see our plain guide to AI for financial advisers.
Frequently asked questions
What is the best first AI job for an advice firm?
A frequent, mostly mechanical task that a person always checks: for example writing up a discovery meeting, drafting an annual review or checking a file. It should be easy to time so you can measure the result.
Does a small firm really need a DPIA for AI?
The ICO says that in the vast majority of cases AI use is likely to be high risk and will trigger the legal requirement for a DPIA. A small firm's DPIA can be short, but it should exist.
How long should an AI pilot run?
Long enough to produce a fair number of real examples. For a weekly task, a month is usually enough to compare time and quality against your baseline.
Many firms start with the paperwork after a first meeting. Carbon turns a recorded Fireflies meeting into a branded discovery summary, scope of work or attitude to risk report. Book a twenty-minute demo with Adam Booth on Microsoft Teams, run live on a demo firm with nothing for you to prepare.
