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Aipedia: Project managers
AI can draft stakeholder updates, consultation material and replies to residents, but anything issued on a project's behalf can be read as a commitment. A PM who sends an inaccurate promise can expose the client to complaints, delay and reputational harm.
Part of: AI in project management
In short
Projects generate a constant flow of communication with neighbours, residents, investors, internal teams and local groups. AI makes it easy to draft newsletters, consultation summaries, FAQs and replies at scale, and some projects use chatbots to answer public questions. The risks are commitments the project cannot keep, such as working hours or completion dates, inaccurate statements about impacts, tone that inflames a dispute, and personal data mishandled. APM has published research on AI-driven stakeholder strategy for mega-infrastructure. Client claims arising from inaccurate communications are usually handled under PM PI, subject to the wording.
Typical uses include drafting newsletters and website updates, summarising consultation feedback, preparing FAQs, writing responses to complaints, and running chatbots that answer residents' questions. On large schemes, AI may be used to map stakeholders and analyse sentiment. APM lists research on AI-Driven Governance: Intelligent Stakeholder Strategy for Mega-Infrastructure Projects among its published work.
Stakeholder messages are often written under time pressure after an incident or complaint, which is when an AI draft is most likely to be sent with light review.
AI may also be used to summarise consultation responses for the client or a decision-maker. A summary that underweights a recurring objection, or groups distinct concerns together, can distort what the client hears and later be criticised if the consultation is challenged.
The PM must communicate accurately and within the authority the client has given. Statements about working hours, traffic management, noise, completion or compensation can create expectations, and in some contexts obligations, for the client. Stakeholder lists and complaints contain personal data, so UK GDPR applies to processing them with AI. For RICS-regulated PMs, the RICS AI standard requires no confidential client data into AI without express prior written consent (3.1) and written reliability decisions on material outputs (4.2), and Rule 5 (public interest) is relevant to public-facing communications.
Illustrative scenario. A PM uses AI to draft a resident update during a road closure. The draft states the closure will end on a fixed date and that weekend work will not take place. Neither was agreed with the contractor. Residents plan around the update, the closure runs on and weekend work proceeds. Complaints escalate to the local authority, conditions on the works are tightened, and the client says its PM issued commitments without authority.
A project chatbot can create similar problems at scale, answering questions confidently with out-of-date information about access, compensation or timings.
Internal stakeholders matter too. An AI-drafted update to a sponsor that softens bad news, or an all-staff message that announces a go-live date before it is confirmed, can lead to decisions the client later regrets and blames on its PM.
If the client suffers loss because its PM issued inaccurate communications, the claim is usually framed as negligence and handled under PM PI, subject to the terms. Some PI wordings also cover defamation or breach of confidence, others do not, so check. Pure reputational harm to the client is often hard to quantify as a claim. Public-facing chatbots raise their own issues; see AI chatbot insurance and does PI cover AI mistakes?
Apex arranges PI for project managers, and a broker can check whether your policy covers defamation and communication-related claims. See AI status reports, AI meeting minutes, client data and PM AI tools and the AI in project management hub.
It can create expectations and, in some circumstances, obligations for the client, for example where it is relied on or repeats a planning condition. That is why updates should only state what the client has authorised.
Whoever prepared and issued it, which is often the PM or communications lead acting for the client. If decisions are taken on a distorted summary and later challenged, the client may look to its advisers, so check summaries against the source responses.
It can work if it draws only on approved, current information and hands complex or sensitive questions to a person. Answers should be monitored, and the chatbot should say it is automated.
There is no general legal requirement for project updates, but RICS-regulated PMs must tell clients in advance when AI is used. For public chatbots, saying the service is automated is sensible and helps manage expectations about its answers.
Some PI policies include defamation cover and some do not, so check the wording. Claims by the client for losses from inaccurate updates are more usually framed as negligence.
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.
