A useful AI edit makes genuine experience easier to assess. Recruiters and careers advisers can help candidates preserve the facts, explain their contribution and keep a review score in perspective.

A CV statement about checking invoices tells a recruiter something specific. Replace it with a claim about “driving financial excellence” and the sentence may sound more impressive while becoming less useful. The task, method and limits of the applicant’s responsibility have disappeared.

For hiring teams, the important question is not simply whether AI helped with the wording. It is whether the finished application offers a clear account of work the candidate can explain and substantiate. Good editing makes that account easier to follow; bad editing changes the claim.

The UK Civil Service’s guidance on AI in recruitment makes a useful distinction: candidates may use AI to clarify their ideas and check their writing, but must not use it to inflate or invent experience. Employers should make their own expectations clear, including any different rules for assessments.

A more detailed CV is still a self-reported document, not independently verified proof. Its value is that it gives recruiters better questions to ask and applicants a more accurate starting point for the conversation.

Start with the facts, then edit the sentence

Careers advisers can use a simple four-step exercise with candidates. Recruiters can share the same approach in application guidance, particularly when asking for examples of relevant experience.

Record the responsibility in ordinary language. Write what happened before trying to make it sound professional. What did the person do, what did they work on, which tools or methods did they use, and who received the work? Include frequency or scale only when known.

Separate personal work from team activity. Identify what the applicant carried out, what they supported and what somebody else approved. Taking part in a project is not the same claim as managing it. Keep a private note of how important details could be checked, without copying confidential records into an AI tool.

Build a statement from the confirmed details. Use an action, the work involved, a relevant method and any necessary context. Add an outcome only when it was observed and the applicant can explain their contribution to it. A responsibility does not need an invented result to deserve space on a CV.

Compare the rewrite with the factual record. Check every new verb, skill, qualification and outcome. Has “helped” become “led”? Has using a spreadsheet become expertise in automation? Has a routine check become a claim to have improved accuracy? Remove or qualify anything the original information does not support.

Give an AI tool the confirmed notes rather than a vague instruction to make the candidate sound impressive. Ask for an edit that retains the scope of the work and flags missing information instead of filling it in. Then check the result: a careful instruction is not a substitute for reviewing the output.

Two illustrative rewrites

These are fictional wording examples, not customer stories. Each before-and-after pair preserves the same underlying facts and adds no achievement or performance figure.

Illustrative example 1: Invoice checking

Before: “I checked supplier invoices against purchase orders in Excel every week and emailed the finance supervisor when the amounts did not match.”

After: “Checked supplier invoices against purchase orders weekly in Excel and emailed the finance supervisor about amount discrepancies.”

The rewrite makes the action easier to locate without claiming payment authority, advanced Excel skills or a reduction in errors. A recruiter can ask how the comparisons were made and what happened after a discrepancy was reported.

Illustrative example 2: Interview scheduling

Before: “I emailed candidates to arrange interviews, updated the shared calendar when interview times changed, and sent interview details to the hiring manager.”

After: “Arranged interviews by emailing candidates, updated the shared calendar when interview times changed and sent interview details to the hiring manager.”

The wording is tighter, but the responsibility remains scheduling and communication. It does not become candidate selection or ownership of recruitment. A follow-up question can establish which arrangements the applicant handled personally.

Match evidence to the role, not the other way round

Treat the job description as a set of questions to answer, not a script to copy. In a private working note, put each important requirement beside a real example and mark the evidence as direct, related or not yet demonstrated.

For the illustrative invoice example, a requirement to compare invoices with purchase orders has direct support. A requirement to authorise payments does not. Weekly Excel use also does not, by itself, establish that the applicant can write macros. Repeating those requirements in a skills section would change the facts, not improve the match.

Move the strongest relevant evidence higher in the CV and use the employer’s terminology where it accurately describes the work. Keep distinctions such as assisting versus managing, training versus workplace use, and familiarity versus proficiency. Leave unsupported skills out rather than adding them to improve a match score.

Recruiters can make this easier by separating essential requirements from preferences and explaining what related experience they will consider. A comparison tool can highlight a question or a gap; the employer still needs to decide what evidence is relevant.

The same discipline applies within a CV tool. Astr describes AI-assisted CV creation, PDF-based CV assessment and job-description comparison, and translation between Arabic and English. These are its published product descriptions, not independently tested hiring outcomes. Suggested wording and review feedback should prompt checks, not authorise new claims; the applicant remains responsible for the final content.

Keep four different checks separate

Readability, parsing, an external review score and a hiring decision answer different questions. Calling a CV suitable for an applicant tracking system (ATS) does not settle all four.

Human readability. Can a reader locate employers, job titles, dates and relevant responsibilities without guessing? Clear headings and consistent presentation should help someone follow the history, not distract from it.

Document parsing. This is the extraction of information into fields. Greenhouse’s parsing documentation describes its own system filling candidate-profile fields from an uploaded CV. It lists potential difficulties with graphics, columns and contact information in text boxes. An unsuccessful parse can leave the CV attached while details need manual entry. That is a processing issue, not itself a hiring rejection, and the documentation should not be generalised to every ATS.

A third-party CV score. Treat this as feedback under the review tool’s criteria. Ask what was assessed: extracted text, structure, wording or correspondence with a particular job description. A higher score does not verify the applicant’s history, prove that the employer’s system read the document correctly or establish that the employer uses the same criteria.

The employer’s decision. Whether to progress an applicant is a separate selection question. A readable, successfully parsed CV can still lack evidence of an essential requirement. A polished, high-scoring document can contain an unsupported claim. Neither formatting nor a third-party score guarantees an interview.

Applicants should follow the vacancy’s file-format and upload instructions. Reopen the exported document and check it; copying its text into a plain-text editor can reveal missing text or an unexpected reading order, but is not a test of the employer’s ATS. Where the application portal displays populated fields, check and correct them before submitting.

Hiring teams should check their actual workflow too: what information is extracted, what reviewers see, and how incomplete records are handled. Do not mistake an empty field for evidence that a candidate lacks the experience stated in the attached CV.

Translate the facts, not just the sentences

Review a translated CV beside its source version. Fluent wording is not enough: the translation must describe the same person, responsibility and level of experience.

Check job titles for seniority and scope. Do not let an assistant become a manager because the English title sounds more familiar. Where a direct equivalent is unclear, retain the original title with a short explanation of the duties rather than silently upgrading it.

Check dates against the original record, including which month and year each role began or ended. Make the date format unambiguous and verify any calendar conversion separately. Confirm that a current role has not become a completed one, or the reverse.

Check qualifications against the award itself: its name, awarding organisation, subject and completion status. A course in progress must not become a completed qualification. Do not turn an overseas award into an asserted local equivalent without appropriate verification; translating a title is not an equivalence assessment.

Finally, check meaning sentence by sentence. Supporting a team must remain supporting a team. Observing a process must not become performing it independently. Ask someone competent in both languages and the relevant terminology to review uncertain passages. Recruiters should invite clarification of unfamiliar titles rather than rely on an assumption about their meaning.

Make the evidence conversation fair and useful

Tell candidates what sort of detail will help the assessment: the task, their own contribution, the tools or method, and any result they can support. Explain whether AI assistance is permitted for drafting and where different rules apply. Avoid leaving applicants to guess whether ordinary editing help is acceptable.

At interview, use consistent core questions to explore a relevant statement. What did the person do themselves? Which decisions were theirs? How did they check the work? Ask for clarification without assuming that polished language proves competence or that awkward language disproves it.

Where the role calls for further assessment, use a short, relevant exercise with clear instructions, consistent scoring and appropriate accessibility arrangements. Do not demand confidential work samples. Keep “not yet evidenced” separate from “shown to be false”: a missing detail is a reason to investigate, not automatically an allegation of dishonesty.

A checklist recruiters can share with applicants

Before submitting an AI-assisted or translated CV, check that:

·       You can explain every responsibility and distinguish your work from the team’s.

·       No edit has added an unsupported skill, result, qualification or level of authority.

·       Your job-description matches point to real examples, not copied requirements.

·       Names, titles, dates and qualifications remain accurate in every language version.

·       The exported file is readable, follows the application instructions and has been checked alongside any populated form fields.

·       You have followed the employer’s AI-use rules and treated review scores as feedback, not guarantees.

The best final check is to read a statement aloud and explain the work behind it. If the explanation is narrower than the sentence, revise the sentence. AI has helped when a recruiter can see the real contribution more clearly—not when the language promises more than the candidate can support