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AI enablement for corporate teams

Make AI work for your team.

Your team has access to AI. Are they getting the most out of it? Help everyone use it confidently, save time and improve everyday work.

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Danielle ThompsonTrained PepsiCo’s designers on AI and taught an AI basics workshop at Deloitte. I lead the work and training myself.I’ve taught business process management to businesses for years.

Three teammates’ laptops connected to one shared knowledge base, each following the same workflow

AI for your team

Watch · 2:10

Worked with teams at

PepsiCoDeloitteMazdaStubHubTavusUniversity of Toronto

Is your team getting enough out of AI?

We’ve paid for AI. Why aren’t we seeing the value?

We find recurring work where AI could save time or reduce rework, then measure the difference against how your team works today.

Some people use it every day. How do we bring everyone along?

I work with people at different confidence levels and teach them on tasks from their own roles, using tools you’ve already approved.

There are so many possibilities. Where should we start?

We look at your team’s bottlenecks and choose where AI is worth the effort, weighing potential value, practicality and risk.

How do we make sure the training sticks?

Your team practises on its own work, with shared guidance to return to afterwards. We agree owners and follow-up points to see what’s being used.

Who you’ll work with

Who will work with our team?

I’m Danielle Thompson. I trained PepsiCo’s designers on AI and taught an AI basics workshop at Deloitte. I lead the work with your team myself.

Danielle ThompsonFounder of Switchboards

At PepsiCo, I helped designers move from quick AI answers to using it on their own projects.

I’ve also taught business process management and led design at StubHub. I bring that experience to understanding how your team works.

Working together

What would this look like for our team?

I work alongside your internal AI, IT and learning teams to help people apply approved tools to everyday work. We agree the scope and timing together.

  1. Understand

    See where work gets stuck.

    I talk with your team and map the tasks, handoffs and decisions that slow things down.

    OutcomeA clear picture of the bottlenecks

  2. Prioritise

    Choose where AI adds value.

    Together, we weigh time saved, effort and risk, then agree where to start and what to measure.

    OutcomeA focused plan and success measures

  3. Build

    Put shared knowledge to work.

    I make your existing knowledge easier to use with AI, fill gaps where needed and build workflows around approved tools.

    OutcomeKnowledge and workflows ready to use

  4. Teach

    Help the team use it confidently.

    Your team practises on its own work, learns how to check results and has follow-up points to review progress.

    OutcomeA team ready to put it into practice

Built around your organisation

What will our team have afterwards?

  1. Shared knowledge your team can useYour existing processes, standards and examples, organised for AI, with gaps filled where needed.
  2. AI workflows for everyday workClear priorities and repeatable steps for the tasks where AI can help most.
  3. A team that knows how to use itPractice on your own work, including how to check results and when to ask for help.
  4. Clear rules for using AIWhich tools and information are allowed, and what needs human review, within your existing policies.
  5. A way to measure the valueAgreed measures of time saved, quality and use, so you can see what’s changing.
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The business case

How will we know it’s working?

We agree what success looks like before we start, then compare results with how your team works today.

  1. Useful AI adoption

    Are people getting more from the tools we pay for?

    What we trackHow many team members use approved AI tools for agreed tasks each week, and whether the results are useful.

  2. Time saved

    Is everyday work taking less time?

    Example: a recurring management reportMap the manual steps, use approved AI to prepare a draft, and keep human review. Compare total preparation time and corrections before and after.

  3. Quality and oversight

    Is the work accurate and properly checked?

    What we reviewA sample of outputs for accuracy, approved sources and required human sign-off. We track errors and corrections alongside time saved.

You’ll have evidence to decide what to keep, improve or expand.

Data, tools and policy

What about data and quality?

  • Only the tools you’ve approved

    We start with the tools your organisation has approved, such as Microsoft Copilot, ChatGPT Enterprise, Gemini or Claude. Any proposed changes go through your internal approval process.

  • Approved information and access

    Discovery can start with walkthroughs and sample or sanitised material. We agree what information the knowledge base can contain, where it lives and who may access it before building.

  • Human review is part of the workflow

    Your team learns to check outputs against approved sources, recognise uncertainty and escalate to the right person. We agree which decisions and approvals stay with people.

  • A policy that sits alongside yours

    Practical workflow guidance sits within your existing IT and legal policies. Your organisation’s owners approve tool use, access and any policy changes; this work does not replace their authority.

Who it’s for

You want your team to get more out of AI and be able to show the difference.

For leaders in operations, HR, L&D, marketing and other corporate functions who want AI use to translate into better work. The aim is a team that knows where to find approved knowledge, how to use it and how to check the result—with evidence you can take back to leadership.

Questions your leadership will ask

We’ve already rolled out Copilot or ChatGPT. Why bring you in?

I work alongside your AI, IT and learning teams to identify where people need practical support. We use your approved tools and existing knowledge, build agreed workflows and teach people on their own work. Your internal teams retain ownership of platforms, access and policy.

How long does the work take?

The timeline depends on your team, the processes involved, your existing knowledge and the implementation scope. We agree discovery, build and training stages with you before work begins. There is no fixed workshop duration for the whole engagement.

What happens before the training?

I spend time with people at different levels, map how work moves through the team and identify bottlenecks. We prioritise workflows by potential value, feasibility and risk, organise existing knowledge, fill gaps and build agreed workflows. Training follows that groundwork.

Where do you work with teams?

In person in Singapore and Australia, or online in your time zone. We agree the right format for discovery, implementation and training around your team’s availability.

What do we need to arrange?

A team contact, time with the people who do the work and examples of the processes you want to improve. We agree information access, approved tools and the involvement of IT or other owners during scoping. Training logistics and group sizes depend on the agreed plan.

Which teams is this for?

Corporate teams with recurring work and knowledge to share, including operations, HR, L&D and marketing. My background includes design leadership and training, but the engagement is built around your team’s processes and responsibilities.

How is it priced?

Pricing is based on the agreed discovery, implementation and training scope. After the initial conversation, we establish what needs to be involved and provide a written proposal. You approve the scope, timing and quote before work begins.

Next step

Book a call

Start with a 20-minute conversation about your team, current tools and where work is getting stuck. We’ll discuss what discovery should cover and who needs to be involved. The scope, timing, deliverables and quote are agreed before work begins.

Let’s find where AI could make the biggest difference for your team.

Tell me a little about your team, and I’ll reply with times for a call.

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