Aipedia: Management consultants
Consultants who design AI process automation for clients share responsibility for whether it works and whether it complies with the law. Since 5 February 2026, automated decisions about people are governed by new UK GDPR Articles 22A to 22D.
Part of: AI in Management consultants
In short
Some consultancies now recommend or design AI automation for clients: triaging applications, routing customer queries, approving low-value claims or screening candidates. If a design produces wrong outcomes or significant decisions about individuals without proper safeguards, the client may face losses, complaints and regulatory action, and look to the consultant. Section 80 of the Data (Use and Access) Act 2025 replaced the automated decision-making rules with Articles 22A to 22D from 5 February 2026. ICMCI 3.1 requires human oversight for high-risk uses. PI usually responds to negligent design advice, subject to the wording, but fines and contractual promises are treated differently.
Operations and transformation consultants increasingly recommend AI as part of process redesign. Typical projects include automated triage of customer emails, document classification in back offices, eligibility checks on applications, fraud flags, scheduling and screening of job applicants. The consultant may map the current process, select a tool, design decision rules and thresholds, write the business case and oversee testing.
The boundary between consulting and technology delivery can blur. A consultant who configures decision logic is closer to a systems designer, and the client may expect the outcome to work, not just the advice to be reasonable.
The client is usually the controller, but a consultant who processes personal data during design or testing may be a processor or controller too. The ICO's statutory code on AI and automated decision-making is forthcoming, with no date set.
Illustrative: a consultant redesigns a lender's affordability checks so that applications below a score threshold are declined automatically. The design has no route for applicants to make representations or obtain human review. Complaints rise, the client has to rework the process and review past decisions, and it argues the consultant's design failed to build in the safeguards the law required.
Other failures are operational: an automated routing rule sends urgent cases to the wrong queue, or a classifier trained on old data performs badly once live. The client's loss may include re-work, compensation to customers and lost revenue. If regulators become involved, fines or enforcement fall on the client, which may then try to pass them on.
A claim that the consultant negligently designed a process or failed to advise on legal safeguards is usually within consultants' PI, subject to the terms. Points to check:
A data breach during testing may sit with cyber cover.
Related: AI workforce advice, AI implementation projects and engagement terms on AI.
Apex arranges PI for management consultants and can check whether your policy treats automation design as a professional service or needs technology cover. See the AI in management consulting overview.
Section 80 of the Data (Use and Access) Act 2025 came into force under SI 2026/82, replacing the UK GDPR automated decision-making rules with Articles 22A to 22D. Significant solely automated decisions now need the safeguards set out in Article 22C.
The client is usually the controller and primarily responsible. But if you designed the process and failed to advise on required safeguards, the client may claim you were negligent. Clear written advice and scope help your position.
Usually not directly. Fines are often excluded or uninsurable. A client may still claim damages from you for losses linked to the breach, and PI may respond to that claim, depending on the wording and the law.
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