Where AI can help corporate communications without taking over the review

Corporate communications AI applications are best considered as bounded tasks with inspectable outputs. For a team serving England, a useful starting question is whether an editor can check the proposed output against an approved source. Generating more material is not, by itself, evidence that a communication task has been completed well.

This article proposes applications and assessment steps. It does not report product testing, staff interviews, time savings or measured improvements. The examples are hypothetical tasks, with no claim that a named organisation has performed them.

What to take away

Keep source material separate from generated text

The UK Government AI Playbook, published in February 2025, explains that generative AI can produce plausible but false information. This is government guidance, not a performance rating for a particular product or a law requiring every private employer to adopt the same workflow.

A proposed use is to turn an approved briefing into several draft formats, such as a staff note and a manager's speaking outline. Supply only material authorised for the chosen tool. Ask the editor to compare names, dates, commitments and qualifications with the briefing, rather than accepting the generated version as a new factual source.

Worked example: take an approved briefing on a new leave policy. Paste only that briefing into an approved enterprise writing assistant. Ask for a 150-word staff note.

An approved source type here is the briefing document and the HR policy portal that holds the current leave rule. The editor checks every name, date, entitlement and eligibility rule against those sources. Remove any sentence that has no matching passage. The policy owner approves the note before release.

Keep the original text available during review. If the tool adds a rationale that the briefing does not contain, remove it or ask the factual owner to substantiate it. Do not improve the apparent authority of a draft by leaving in an invented quotation or unsupported explanation.

Summarise within a defined boundary

Another candidate task is summarising a closed set of approved documents. Define which versions are included and what the summary should preserve. Require a route back to the relevant passage for any consequential statement, and check omissions as well as errors.

A summary of staff feedback needs particular care. Use only a properly approved dataset and agree what can be shared with the system. Do not infer the views of all employees from the material supplied. Treat any generated categories as proposals for an analyst to examine, especially where a comment could fit more than one category.

Generate questions without claiming to know the audience

A team might ask an approved system to propose questions a reader could raise about a draft announcement. That exercise can help an editor inspect unclear wording, provided the output remains a set of possibilities. It cannot substitute for actual audience research or establish what employees believe.

Compare suggested questions with the policy owner's approved explanation. Where a question reveals an unresolved decision, return it to that owner. Avoid answering it speculatively just to make the question-and-answer document appear complete.

Examine the human work around the tool

The Cabinet Office's Mitigating Hidden AI Risks Toolkit, dated 4 June 2025, considers behavioural and organisational risks alongside technical safeguards. Its scope supports examining how people use AI; it does not prove that a particular communications workflow is safe.

Before a trial, identify who checks factual accuracy and who can stop publication. Let reviewers record uncertainty without having to disguise it as a completed task. The publisher's suggested design is to preserve a clear handover between drafting assistance and accountable approval.

Decide whether a trial deserves continuation

Use the same brief for a conventional draft and the proposed assisted workflow. Record preparation, checking and correction work, rather than timing generation alone. Assess whether the approved output answers the brief and preserves important qualifications. Do not announce a saving until the comparison supports it under equivalent conditions.

For a first decision, select one modest task and write its evidence requirements. Keep public release under the existing approval process while a named reviewer assesses the trial design.

Stop the trial if reviewers cannot trace consequential claims or the data owner has not authorised the inputs. Reconsider it when tool settings, source documents or the intended audience change.

Before you act

Common questions

What is a useful starting question for a corporate communications AI task?

Start with the check: can an editor verify each claim against an approved source? Volume alone is not completion. The article offers proposed applications, not product testing or measured results.

How should a team handle a generated summary of staff feedback?

Use only an approved dataset and agree what can be shared. Do not infer all employees' views. Treat generated categories as proposals for an analyst, especially when a comment fits more than one category.

When should a trial of an assisted workflow be stopped?

Stop if reviewers cannot trace consequential claims or the data owner has not authorised inputs. Reconsider when tool settings, source documents or the audience change. These are proposed acceptance rules, not reported test results.