Online and face to face training, coaching and events across the UK and Europe
Thrive Training Lab

Responsible AI & Managing Risk

Use AI with confidence and care: data protection, accuracy, bias, accountability and practical guardrails for everyday AI-assisted work.

You want to keep growing, not feel left behind by the next tool. AI can open possibilities for your work, but confidence means knowing when to use it, what to check and what information to protect. We meet people at their starting point and make space to try, question and learn.

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Thrive Training Lab

Explore. Practise. Make it yours.

Duration

Half day · 3.5 hours per half day

Group size

6–8 delegates

Format

Online or face to face

Price — Face to face

From £1,100

+ VAT

Price — Online

From £899

+ VAT

where understanding becomes useful —

Why this course matters

Confident AI use comes from knowing the boundaries as well as the possibilities.

What you’ll explore in the Lab

As AI tools spread through everyday work, the risks travel with them: sensitive information shared without thought, polished but inaccurate output passed on unchecked, and uncertainty about who is responsible when AI-assisted work goes wrong. This half-day course gives professionals, managers and teams a practical grounding in responsible AI use.

Delegates explore data protection and confidentiality, accuracy and hallucination, bias and fairness, and the importance of human accountability — then turn those principles into everyday guardrails they can apply immediately. Working through realistic scenarios, they practise deciding when AI is appropriate, what checks an output needs and how to raise concerns. The aim is not to slow adoption down: it is to help people use AI with confidence because the boundaries are clear.

a real challenge. a purposeful response.

The challenges this addresses

  • AI adopted faster than the policies and guidance meant to govern it
  • Sensitive or personal information entered into tools without a second thought
  • AI-generated errors, bias or fabricated details reaching clients and colleagues
  • Teams unsure who is accountable when AI-assisted work goes wrong

What this can change at work

Enthusiasm for AI needs an equally practical approach to risk. Understanding data protection, accuracy, bias and accountability helps people use approved tools with confidence rather than caution or carelessness. Teams can apply consistent checks to AI-assisted work, giving the business a clearer basis for adopting AI responsibly — protecting sensitive information, clients and reputation while still gaining the benefits.

Information checked before sharing

Colleagues remove or anonymise sensitive and personal information before using an approved AI tool, and know which information should never be entered.

Outputs verified before use

People check AI-generated facts, figures and references against reliable sources before the content reaches clients, colleagues or published material.

Clear ownership of AI-assisted work

Teams agree who reviews and approves AI-assisted output, so accountability for the final work stays with a named person.

Inside the workshop

Delivered live online or face to face for 6–8 delegates, the session combines plain-English input with group discussions, breakouts and scenario practice. Delegates assess realistic workplace situations — a client summary, a report draft, a spreadsheet analysis — and decide what information can be used, what checks are needed and who signs off the result. Exercises use fictional or anonymised material throughout, and the session works within your organisation's existing AI policies. Delegates leave with a personal responsible-use checklist and agreed questions to raise with their team. This is workplace education, not legal advice.

Make Responsible AI & Managing Risk relevant to your business

Tell us where you want to make progress with what responsible ai use means in practice. We can discuss suitable workplace examples, priorities and access needs before agreeing the scope. Choose live online or face-to-face training for your UK or European team, with delivery arrangements agreed before booking.

Discuss this course

What the training covers

The scope below sets out the subjects covered. Workplace examples and practice are shaped around your team within the booked format.

  • What responsible AI use means in practice
  • Data protection, confidentiality and what never to share
  • Accuracy, hallucination and checking AI output
  • Bias and fairness in AI-generated content
  • Human accountability and sign-off for AI-assisted work
  • Everyday guardrails: checklists, policies and raising concerns

What’s included in your booking

Your booked time and format
Half day · Live online or face to face, agreed before booking · 6–8 delegates.
Included in every course
  • Interactive, facilitator-led learningLive, hands-on sessions built around practice and participation.
  • Group discussionsShared conversations about real situations, so people learn from each other as well as the facilitator.
  • Breakout exercisesSmall-group practice, role-play and problem-solving, online or in the room.
  • Take-away materialsCourse materials, tools and templates to use back at work.
Facilitated learning and practical application
The subject coverage, exercises and facilitator feedback described above, with space to connect the learning to relevant workplace situations. The workshop description sets out the specific plans, prompts or tools developed in this course.

Follow-up coaching, refresher sessions and additional delivery days are not automatic inclusions; any additions are agreed in your proposal. Travel, venue arrangements and any software licences are confirmed separately where relevant. Prices exclude VAT.

Outcomes

The capabilities delegates work towards through the training and practice:

  • Apply data protection principles to everyday AI use
  • Check AI output for accuracy, bias and fabricated details
  • Decide when AI is appropriate — and when it is not
  • Leave with a personal responsible-use checklist

the next conversation is where it counts —

Take it back to work.

Choose a real situation where you want to apply the learning. Use it to turn an outcome into a manageable first step, then reflect on what changes.

Choose

Start with one priority: Apply data protection principles to everyday AI use.

Apply

Try the approach in a relevant task or conversation. Note what felt useful and what you would adapt.

Review

Reflect on what happened, seek feedback where appropriate and choose your next step. Follow-up support can be discussed separately.

Bring this topic to your next event

We can discuss adapting Responsible AI & Managing Risk into a keynote or large-group session, focusing on the themes most relevant to your audience. Depth, activities, timings and any follow-up depend on the format and package you choose; an event session is not a substitute for the full course.

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Bring the challenge your people want to work on. We'll shape a practical training workshop or coaching experience around it — with room to explore, practise and take a useful next step.

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