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Aipedia: Project managers
AI can assess the impact of a change request in minutes, but if it underestimates time or cost and the PM passes that on, the client loses the chance to say no. Change control can be where overruns start, so it may become a focus in claims.
Part of: AI in project management
In short
Project managers may use AI to log change requests, estimate impact on time and cost, check scope against the baseline and draft change notices. The risk is an impact assessment that captures direct cost but misses knock-on effects on the programme, other packages or operations, and a run of small approved changes that together add up to significant scope creep. A PM is usually expected to warn the client of the consequences of changes. Failures are usually treated as negligence under PM PI, subject to the wording, and RICS-regulated PMs need written reliability decisions on material AI outputs.
AI tools read change requests and the contract scope, suggest whether a request is a change at all, estimate cost and time from rates and the programme, and draft the change notice and a summary for the client. Some log every change and track cumulative impact against the baseline. They are particularly useful on programmes with high volumes of small changes.
Impact assessment is where AI is weakest. Indirect effects such as resequencing, prolongation, design rework, fees and lost float are hard to model, and a tool that estimates only the direct cost will make changes look cheaper than they are.
A PM is usually expected to advise the client on the consequences of a proposed change before it is approved, including time, cost and risk, and some appointments say so expressly. This duty to warn sits with the PM whatever tools are used. For RICS-regulated PMs, the RICS AI standard requires a written decision on the reliability of material outputs (4.2) and a quarterly-reviewed risk register (3.3), with the Rules of Conduct on competence and diligent service behind them. On construction projects, changes may also affect health and safety arrangements the client must maintain under CDM 2015 regulation 4.
Illustrative scenario. A client asks for a change to a plant room layout. The PM's AI tool estimates the direct cost and a short delay to one package. It misses that the change pushes a critical service connection beyond a planned utility shutdown. The client approves on the basis of the PM's summary. The shutdown is missed, the next slot is months away and the project is delayed. The client claims its PM failed to warn of the true impact.
Scope creep is the slower version: dozens of AI-assessed changes, each small, approved without anyone presenting their combined effect, until the budget and programme no longer hold.
A third pattern is misclassification. An AI tool decides a contractor's request falls within the original scope and should not be a change, the PM agrees without checking the specification, and the contractor later proves it was a change with time and cost attached. The client says it was denied the chance to manage the cost because its PM never flagged it.
Failure to warn about the consequences of a change is usually framed as professional negligence and handled under PM PI, subject to the terms. The client must usually show it would have decided differently with proper advice, and what that would have saved. Insurers may also look at whether the services described in the proposal matched what the PM did. The construction position is covered on PI for construction project managers, and scope creep claims on scope creep and PI claims.
Apex arranges PI for project managers and a broker can review how your policy treats AI-assisted change advice. See AI in NEC and JCT contract administration, AI cost forecasting, AI programme scheduling and the AI in project management hub.
Usually a duty to tell the client the likely consequences of a change, in time, cost and risk, before it decides. The exact scope depends on your appointment, but a competent PM would usually be expected to warn of foreseeable effects.
Only after checking it. AI tools are better at direct cost than at indirect effects such as resequencing or missed fixed dates. A competent review of the critical path and interfaces is what protects you.
Put the advice in writing, state assumptions and risks, and record the client's decision. If the advice drew on an AI estimate, keep the version you reviewed and what you changed.
It can, where the client says its PM should have controlled or reported the cumulative effect of changes. Regular cumulative reporting and clear records of client decisions are the usual defences.
Tell us about your firm and the work you do. A broker will review how your current PI treats AI-assisted work, or arrange new cover. No fee for a quote. Or call 0117 325 0027.
Start a PI quote Request a callbackApex Insurance Brokers Limited is authorised and regulated by the Financial Conduct Authority. Registered in England and Wales, company number 07014570. This page is general information about how AI is used in the profession and how insurance may respond. It is not legal, regulatory or insurance advice on your circumstances, and it does not guarantee that cover will be available or on what terms.
