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For HR & Admin

Hire faster, with every decision still made by HR.

HR runs on paperwork: CVs, letters, attendance, expiry dates. AI can sort, combine and draft. Your team reads, decides and signs.

Sound familiar?

  • Each CV is read one by one, and good candidates take another offer while they wait.
  • Attendance comes from three systems, and someone combines it by hand every week.
  • Probation reviews and certificate expiries depend on someone checking dates.

What it looks like in practice

An HR executive at an engineering and construction firm screened every CV by hand. In coaching, the executive built a flow that collects new CVs from the job portal, sorts each one against written screening criteria and drafts the invitation emails.

HR approves the shortlist, edits the drafts and sends every invitation. The criteria live in a file HR owns, so the next hiring manager can set their own.

Another example

At a recruitment and training firm, the team turned candidate CVs into the firm's own template in batches, then ran a separate AI session to audit the results before handing the tool to a colleague. The audit found real gaps, and the team fixed them first.

Looking after the training budget?

AI Foundation is HRD Corp claimable. How claims work

How the training fits your role

  • AI Foundation, open class: one day, one method, practised on a task from your own HR work.
  • In-house and AI Coaching: built around your HR and admin processes, role by role.

Notes for HR and admin teams

Three ways to get AI work done, and how to choose

Your team can learn to do the AI work, build it with a guide alongside, or have it built and then own it. Three questions tell you which way fits each piece of work, and most businesses use all three.

Fix it before you automate it

Automation runs whatever version of the task it is given. A quick test tells you whether a task is ready — and getting it ready is usually smaller work than people expect.

It guessed because you didn't say

When AI gives you a generic answer, it has usually filled the details you left out with its best guess. Telling it the details you care about changes the answer.

When AI tools change, your team's skills stay

AI tools keep changing. The skills a team builds, such as breaking work into steps, briefing AI clearly and checking what comes back, carry over to every new tool, which makes them the investment that lasts.

Hand AI the boring task first

The best first task for AI is a routine one: it comes back every week, you could write its steps down, and you can check the answer. The impressive one can come later.

Five skills for getting good results from AI

Getting good results from AI comes down to five skills: break the task down, give it the context, set the limits, refine the draft, and judge the result. When an answer disappoints, the missing skill tells you what to fix.

All notes

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