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As of 13 August 2026, AI can only partly track staff holiday requests.
This still needs a person who signs their name to it.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ita colleague
What the alternative costsTaskade is an AI outlining, task and team workspace that can provide a structured place to manage requests.
If this goes wrong: a request is omitted or marked incorrectly, creating a rota gap, an avoidable dispute or an inaccurate holiday record.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open the current holiday tracker, the relevant workplace policy and the messages or forms containing staff requests.
- Copy the existing approved and pending holiday records into a working document, keeping each employee name, date, status and source reference.
- Paste the policy, records, new requests and rota context into the prompt under the matching headings.
- Ask the model to produce the tracker and reconciliation list, then save the result as a dated working copy.
- Compare every row against its original message or form and correct names, received dates, leave dates and statuses without allowing the model to fill gaps.
- Resolve each flagged duplicate, unclear date, missing detail or possible policy conflict with the relevant employee or decision owner.
- Update the organisation's actual holiday system or approved tracker yourself, then send only confirmed decisions to staff.
Prompt
Act as an administrative assistant helping me track staff holiday requests in the UK. I will paste requests, existing records and relevant workplace rules below. Do not approve or reject anything, infer missing dates, assume a request was received, or invent policy. Create a clear table with these columns: employee, request received, leave start, leave end, working days if explicitly supplied, status, decision owner, source reference, missing information and notes. Preserve names and dates exactly as supplied. Flag duplicate requests, overlapping requests, unclear date formats, requests that appear to conflict with the supplied rules, and any record that cannot be matched confidently to an employee. Keep a separate list of questions I need to resolve. After the table, provide a short reconciliation list showing which source items were included and which could not be matched. Treat the pasted source records as authoritative and say when they are incomplete. Do not give employment-law advice and do not decide whether leave should be approved. TEAM OR WORKPLACE RULES: [Paste the relevant policy or rules] EXISTING HOLIDAY RECORDS: [Paste the current tracker or approved leave records] NEW REQUESTS AND SOURCE MESSAGES: [Paste the requests, including the received date or message reference where available] TEAM OR ROTA CONTEXT: [Paste any relevant coverage notes or constraints]
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot know whether a request was received through another channel unless you include that source.
- AI cannot decide whether an ambiguous request should be accepted, rejected or clarified.
- AI cannot reliably apply workplace-specific approval rules when the policy or operational context is incomplete.
- AI does not become the accountable owner of the holiday record, rota impact or resulting employment dispute.
What caps this at PARTLY: judgement under ambiguity, legal accountability and context depth.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 1 |
| Total | 7 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can AI keep a holiday request tracker?
- Partly. It can organise pasted requests and existing records into a consistent table, but you need a reliable source of truth and must update it when new requests or decisions arrive.
- Can AI approve staff holiday requests?
- No, not safely as a general workflow. Approval depends on your policy, staffing needs, existing leave and managerial judgement, so a named decision owner must make and record the decision.
- Can AI spot clashes between holiday requests?
- It can flag overlapping dates and possible coverage problems when you provide complete records and rota context. You still need to check the source data and decide whether a clash actually prevents approval.
- Is it safe to put staff holiday requests into AI?
- Only use a service your organisation permits and minimise personal information where possible. Check how the tool handles submitted data, and do not paste details that your workplace rules do not allow you to share.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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