New · For Every Team

The prompt is the skill. Learn to write one that works.

A half-day, hands-on workshop on prompt engineering — the structure, iteration and habits that turn AI from hit-or-miss into a tool you can actually rely on.

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44%

Of current job skills disrupted by AI within five years

70%

Of AI transformations that fail to deliver their promised return

20%

Global engagement — a $10 trillion productivity gap

WEF (2025) · Gallup (2026) — most of the gap between people who "get" AI and people who don't comes down to how they ask.

Why it matters

Same tool, wildly different results

Give the same AI tool to two people and you'll get two completely different outcomes. One gets a vague, generic answer and gives up. The other gets something genuinely useful on the first or second try. The difference is almost never the tool — it's whether the person knows how to ask.

Working with AI is a practical, hands-on workshop on exactly that skill: writing prompts that give you control over the output, instead of hoping you get lucky. Participants work with real examples from their own role, not toy exercises.

How the day is built

Four modules. Half a day. Hands-on from the first hour.

The workshop is built around live practice — participants write, test, and refine real prompts for their own work throughout the day, not just at the end.

Module 1

Anatomy of a good prompt — context, task, format and constraints, and why vague prompts get vague answers

Module 2

Iteration — treating the first response as a draft, and the follow-up questions that sharpen it fast

Module 3

Role, tone and format control — getting output that's ready to use, not output you have to rewrite

Module 4

Reusable prompts — building a personal or team library of prompts that work every time

The impact

What changes

For your people

  • Consistently useful output instead of hit-or-miss results
  • Less time rewriting or re-prompting from scratch
  • A personal library of prompts that work for their own role

For the organisation

  • Real, measurable time savings from AI already in place
  • Consistent quality of AI-assisted work across the team
  • Less reliance on the one person who "gets" AI to help everyone else
Practical cases

Real situations we work through

Every exercise uses a real task from participants' own work, not a generic template.

A vague answer that needs three follow-ups

  • Diagnosing what the prompt left out
  • Rewriting it with the missing context
  • Getting it right in one pass

Output that's the wrong tone or format

  • Specifying role, audience and format up front
  • Iterating instead of restarting
  • Getting output that's ready to use

A task the team does every week

  • Building a reusable prompt for it
  • Testing it against edge cases
  • Sharing it across the team

An answer that sounds right but isn't

  • Recognising the warning signs
  • Prompting for sources and reasoning
  • Verifying before using it
Common questions

FAQ

How is this different from a one-off training workshop?

It's built on Grace's Assess → Build → Measure system — a validated baseline, structured development, and post-programme measurement — not a single session that fades in a few weeks.

How do you measure ROI?

A validated EI baseline, a post-programme assessment, and longitudinal tracking mapped to engagement, attrition, and productivity. Figures are drawn from the Grace ROI White Paper (2025) and are consistent with third-party research from TalentSmart, Korn Ferry, and the 2025 ICF Global Coaching Study.

Is our data secure?

Yes — GDPR and Swiss Data Protection Act compliant, delivered through a confidential, secure environment.

What languages do you deliver in?

English, French, German, and four more — seven in total, across a network of roughly 40 certified coaches.

Do we need a specific AI tool, or does this work with anything?

The skill is tool-agnostic — the same prompt structure works whether your team uses ChatGPT, Copilot, Claude, or something else. We tailor examples to whatever your organisation already has in place.

How is this different from Leveraging AI?

Leveraging AI is about finding the right places in your workflow to bring AI in. Working with AI goes one level deeper on a specific skill — writing prompts that reliably get the result you want. Many teams do Leveraging AI first, then Working with AI once they know where they want to apply it.

Get in touch

Interested in Working with AI?

Leave your details and a Grace consultant will be in touch to talk through your goals, your people, and how we can shape this around your organisation.