— Organisation & Workforce
Drafts clear replies to employee relations questions using employer policies and current employment law, with cited sources, an internal case note and explicit grounds for specialist escalation.
30–45 minutes → ~3 minutes
For one query answered from your own sources
No coding required
— USE CASES
Produces a tailored, plain-language reply grounded in the relevant employer policy clauses and current statutory position for the stated jurisdiction. Provides an internal record of the evidence supporting the advice.
Identifies where employer policies are silent, fall below statutory entitlements or conflict with current employment law. Makes the implications visible in the proposed reply and case note.
States whether the available sources adequately support an answer and flags questions requiring specialist review. Records the unresolved issues, risks and recommended action.
Retains knowledge from answered queries to highlight repeated concerns and gaps in policy coverage. Gives advisory teams a clearer basis for policy clarification and consistent advice.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Roles are sorted into your categories using the same rules each time, which is what makes a large volume of org data and role documentation readable.
Each role is assessed against criteria you control and weight, so the same standard applies to every role in the organisation in scope.
All of your org data and role documentation is processed as one set, so patterns across documents surface instead of being read one file at a time.
Current external sources on the organisation in scope are researched during the run rather than recalled from training data, and every source travels with the output.
Employee relations teams handle recurring questions where policy wording, contractual terms and statutory rights do not always align. Everyday employee rights questions is the typical trigger — produces a tailored, plain-language reply grounded in the relevant employer policy clauses and current statutory position for the stated jurisdiction. Provides an internal record of the evidence supporting the advice. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 30–45 minutes of experienced attention.
As a Skill, the work is already sequenced. You bring the evidence, and the run produces tailored, plain-language reply for the enquirer plus relevant policy quotations with document and section references. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. The practical effect: 30–45 minutes of manual work becomes a ~3 minutes run, held to an identical standard on the tenth engagement as on the first.
Employee relations query responder exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
Redesigns workflows and roles around the practical use of AI, producing a board-ready plan with task-level recommendations, costed capacity gains and clear workforce implications.
Keeps a standing read on the risk universe in scope, working through risk registers, controls and policy documents on a regular cycle to show where each risk stands, what has moved since the last run and which items now need an owner's attention.
Matches available consultant capacity against the work coming down the pipeline each week, showing where people are about to sit idle, where demand will outstrip the skills you have and which pairings genuinely fit.
Runs a recurring skills survey across the workforce on a set cycle, building a living view of skills and utilisation by department that leadership can track month over month.
Ranks candidate locations against weighted workforce and business criteria, tests how cost assumptions affect the result, and produces a board-ready recommendation with a traceable evidence base.
Reviews a workforce metrics pack and states what the measures actually imply, rather than restating the numbers.
