Only 21% of firms have mature AI agent governance in place, according to Gartner’s 2026 Hype Cycle for Agentic AI. That means roughly four in five businesses deploying automation, including regulated financial advice firms, are running live systems without the controls needed to demonstrate accountability if something goes wrong. In a sector where the FCA expects firms to be able to show how decisions affecting clients are made, that gap is not a future problem. It is a present one.
This article is a practical guide to closing that gap. Not a theoretical framework, not a compliance opinion. A clear set of steps that a firm of any size can start on this week.
Why governance matters now, not when you scale
Governance is not something you add once automation is bedded in. It is what makes automation safe enough to bed in at all.
Agentic AI systems, workflows that take actions rather than just generate text, are already in use at financial services firms for tasks including client onboarding, document drafting, and routing communications. These systems act on behalf of the firm. They touch client data. In some cases they produce outputs that feed into regulated decisions. That makes them subject to the same oversight obligations as any other process that affects clients.
The FCA has been explicit that firms are responsible for outcomes, regardless of the mechanism that produced them. Automation does not transfer that responsibility to a vendor. It stays with you.
The question is not whether your automation is working. It is whether you can prove it is working, and act when it is not.
Running any AI agent with broad permissions also creates a meaningful security surface, including risks from prompt injection, where malicious inputs cause the system to behave in unintended ways. Governance that does not account for this is incomplete.
What automation governance actually covers
Governance for automation has four components. All four matter; none of them is particularly complicated to implement.
Policy
A written document that states which processes the firm automates, what those systems are permitted to do, what they are not permitted to do, and what triggers a human review. This does not need to be long. Two to four pages is enough for most firms at this stage. What matters is that it exists, is current, and is known to the people who operate the systems.
Ownership
Someone in the firm is accountable for each automated process. Not a vendor, not a platform: a named person inside the firm who can be asked to explain what the system does and how they know it is performing correctly. In smaller firms this is often the operations lead or the compliance officer. It does not have to be a senior hire. It does have to be explicit.
Monitoring
Automated systems should not be set and forgotten. At a minimum, someone reviews a sample of outputs regularly, weekly for high-volume or client-facing processes, monthly for lower-stakes internal ones. The review does not need to be exhaustive. It needs to be honest and documented.
An audit trail
You need to be able to reconstruct what an automated system did, when it did it, and on what basis, for any given event. Most integration platforms, n8n, Make, Zapier, log execution data by default. The governance task is to make sure those logs are retained, accessible, and reviewed when something goes wrong rather than only when someone asks.
What to do first: a practical starting point
The most useful thing a firm can do this week is map what they already have. Most firms underestimate how much automation is already running, from automated emails triggered by CRM events, to document generation tools, to rules-based routing in their back-office system.
- List every automated process. Include integrations, scheduled tasks, and anything a tool does without a human initiating it each time. Be thorough. A process you do not know about cannot be governed.
- Classify each one by risk level. High risk: processes that touch client-facing outputs, regulated decisions, or personal data. Medium risk: internal processes that affect client records or firm reporting. Low risk: purely internal administrative tasks with no client impact. This triage takes an afternoon and tells you where to focus.
- Assign an owner to each. One named person. Add it to whatever system the firm uses to track responsibilities, a spreadsheet is fine at this stage.
- Check that each high-risk process has a human review step. AI and automation systems require human review before their outputs are used in regulated documents or decisions. If that step is not currently in place, add it. It does not have to be a full audit, a named person confirming they have seen and approved the output is sufficient for most processes. Document that it happened.
- Write a one-page policy. Cover what systems are in scope, what they are permitted to do, and what the review cadence is. Have compliance review it. Date it and store it somewhere the FCA could find it if they asked.
The human gates you cannot automate away
Three categories of decision should not be fully delegated to automation in a regulated firm, regardless of how capable the system appears.
The first is any output that feeds into a suitability assessment or advice recommendation. The system can draft, research, or flag. A qualified person must review and take responsibility for what goes to the client.
The second is anything that commits the firm financially or contractually. Budget authority and approval authority stay with humans.
The third is anything involving AI disclosure or brand communication where the firm’s regulatory obligations are engaged. If a client might reasonably need to know that AI was involved in producing something they receive, that disclosure decision belongs to a person.
These are not arbitrary constraints. They are where the firm’s liability concentrates, and where automation errors carry the most consequence.
Keeping governance alive over time
A governance framework that is documented once and filed away is not governance. It is a document, and a document alone changes nothing.
Effective governance for automation means treating your automated systems the way you treat your other operational processes: reviewing them periodically, updating the policy when something changes, and acting when monitoring shows something is not right.
A practical cadence for most firms: a brief monthly review of monitoring outputs for high-risk processes; a quarterly review of the policy document; an annual review of all automated processes in scope. Build these into existing governance meetings rather than creating new ones.
The shift-left principle from software development is useful here: build compliance and risk checks into the design and testing phase of any new automated process, not as an afterthought once it is live. When a new workflow is being set up, the governance questions, who owns it, what can it do, how will it be monitored, should be answered before it goes into production.
Where this fits the bigger picture
Gartner’s finding that only 21% of firms have mature AI agent governance reflects a wider pattern: business ambition and infrastructure spend are running ahead of organisational readiness. A 2026 analysis found that 40% of agentic AI projects are cancelled due to deployment challenges, and while 75% of businesses express interest in agentic AI, only 11-17% have actually deployed it successfully. That gap between ambition and execution is partly a governance problem. Firms that cannot demonstrate control of what they have already deployed are not ready to expand it.
For a financial advice firm, the governance question is also a client trust question. Clients are increasingly aware that firms use technology in their processes. Being able to say clearly what your systems do, who oversees them, and how you catch errors when they occur is not just a compliance response. It is a credible answer to a question your clients may one day ask.
The steps above are not a complete compliance programme and they are not legal advice. They are a starting structure that any firm can build on. Most of what is described here can be implemented internally, without external help. Getting it in place is within reach this quarter.
If you would find it useful to think through how this applies to your firm’s specific situation, a discovery call with Cordrey Consulting is a straightforward 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.