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GoodShip* · 2025–ongoing

Building confidence with AI by giving people something real to solve.

AI Activator is a GoodShip* programme that replaces AI theory with real briefs from real organisations. GoodShip* created the concept, learning model, brand, digital platform and impact measurement, and delivers the cohorts.

OngoingConsultancyCreativeDigital & TechCommunityEmpowermentAI Activator
AI Activator programme logo

At a glance

Client
GoodShip*
Challenge
People were being told AI would change their work, without ever being given a safe place to actually use it.
GoodShip* role
Original concept, programme strategy, learning design, brand, digital platform development, cohort delivery, challenge development, facilitation, showcase activation, data capture and impact measurement
GoodShip* services
Consultancy · Creative · Digital & Tech · Community · Empowerment
Capabilities
AI · Programme Design · Training · Facilitation · Brand & Identity · Websites & Web Apps · Data & Automation · Prototyping · Impact Measurement · Events · Storytelling
Activation
AI Activator
Collaboration
Universities, colleges, employers and community organisations
Sector
Education & Skills · Technology & Innovation · Business & Professional Services
Location
Liverpool City Region
Project period
2025–ongoing
Status
Ongoing
Relationship
GoodShip* programme
Impact themes
Skills · Confidence · Employability · Access · Innovation

The challenge

The challenge

AI arrived quickly. For many people the conversation arrived even faster.

Students, employees and organisations were being told AI would change jobs, education, recruitment, creativity, productivity and entire industries. There was no shortage of webinars, tool lists, prompt guides and predictions.

What was often missing was the opportunity to actually use the technology in a meaningful context. People do not build confidence with AI by watching somebody else use it. They build confidence by trying it themselves.

The question we were trying to answer

What happens if we stop explaining AI and give people a real problem to solve with it?

The approach

What we did

AI Activator was created by GoodShip* as a practical, challenge-led learning programme. It combines AI, real-world problems, teamwork, creativity, critical thinking and making.

Participants work on genuine challenges set by organisations. They have to understand the problem, research it, question assumptions, use AI tools, generate and test ideas, prototype, and present something back. AI becomes part of the process rather than the subject of the whole experience.

Learning follows the problem. Tools and techniques are introduced at the moment they are needed. We need to understand this audience creates a reason to explore AI-supported research. We need to interrogate what we found introduces critical thinking, verification and source checking. We need ideas opens up generative tools. We need to show what this could look like brings in prototyping, design, image generation, presentation and vibe coding.

The wider methodology moves participants between technology and human judgement across six stages: Discover · Question · Imagine · Make · Activate · Measure. The delivery model changes with each cohort. The methodology stays consistent.

What we made

What was created

AI Activator is a strong example of several GoodShip* services coming together.

Programme — concept, methodology, curriculum, live challenge framework, facilitation and teaching resources, showcase format.

Brand — name, proposition, visual identity, programme storytelling, participant communications, marketing and showcase assets. The brand was designed to make AI feel practical, energetic, accessible, creative and human rather than intimidating.

Digital infrastructure — programme website, participant onboarding, challenge materials, learning resources, cohort administration, participant data, feedback and evaluation.

The AI Activator Student Hub — the platform at the centre of delivery. It brings together participant information, onboarding, schedules, challenge briefs, learning resources, team information, project material, evaluation and feedback, and turns AI Activator from a one-off course into repeatable programme infrastructure.

Measurement — an evaluation framework, data workflows and impact reporting built into delivery rather than added at the end.

The story

Real organisations. Real briefs.

A defining principle of AI Activator is that participants work on live organisational challenges.

Those briefs have come from organisations working across healthcare, education, immersive technology, social impact, community, business and digital products. Challenge partners have included Liverpool Womens Hospital Charity, Ark Immersive, EdenFiftyOne, Sensified Spaces and Laurels Wood.

That changes the experience. Participants know their work is going somewhere. They are not completing a fictional classroom exercise — they are trying to create something useful for somebody who genuinely has the problem.

AI is only part of the learning

AI Activator is deliberately not just about learning how to prompt a chatbot. Participants also build capability around research, problem solving, communication, teamwork, critical thinking, presentation, creativity, digital confidence, responsible AI use, prototyping, working with clients and responding to feedback.

Participants work with a changing mix of professional AI and digital tools, which have included ChatGPT, Gemini, Perplexity, Canva, Granola and Lovable. The toolset stays flexible — the programme is not tied to one software company or model. Tools will change. The underlying capabilities matter more.

The Student Hub

The AI Activator Student Hub is programme infrastructure, not an admin tool. It supports the whole learning journey around each cohort — participant information, onboarding, schedules, challenge briefs, learning resources, team information, useful links, project material, evaluation and feedback.

It also helps GoodShip* manage the data generated around delivery. Running a good experience is only part of the challenge. We also need to understand what happened.

The showcase

AI Activator does not end with participants quietly submitting work. Teams present.

The showcase creates a deadline, accountability, confidence, storytelling, client interaction and public speaking — and a sense that the work matters. Participants have to explain what they discovered, what they made and why it matters. That final step converts experimentation into communication.

Connecting education with industry

For universities and colleges, the programme provides live industry briefs, employer contact, applied technology, project experience, evidence of skills and employability development. For participating organisations it provides fresh perspectives, research, experimentation, ideas, prototypes and access to emerging talent.

AI Activator has been delivered and developed with education partners including Liverpool John Moores University, and the format can be adapted for universities, colleges, young people, graduates, employees, unemployed adults, community cohorts and specialist sectors. The delivery model varies. The principle stays the same: learn by solving something real.

From participant to colleague

One of the clearest examples of that bridge is Abubakr Abdulraheem. Abu took part in an early AI Activator programme, the relationship continued beyond the cohort, and he joined the GoodShip* team permanently in 2026.

This is one individual journey rather than a typical or guaranteed outcome. It does show what becomes possible when emerging talent is given real problems, professional tools, meaningful exposure and a chance to demonstrate what they can do.

The Ark Immersive loop

Ark Immersive provided a live challenge to an AI Activator cohort. Participants explored the business, proposition, audiences and digital experience, and that work then fed into the wider GoodShip* relationship, including redevelopment of Arks website.

The loop runs: client challenge, AI Activator research and prototyping, GoodShip* strategic interpretation, professional delivery, and real experience for the people taking part. The cohort work informs the professional output; GoodShip* provides the strategy, development and production that follows.

What we are testing

The bigger proposition behind AI Activator is a question: could experiential AI learning become a better bridge between education, skills and work?

Rather than teaching technology in isolation, can we use it to help people build judgement, confidence, creativity, experience, relationships and evidence of what they can do? That is the experiment we are continuing to develop.

The impact

What changed

Impact measurement was designed into AI Activator from the start, following a loop of Deliver → Capture → Analyse → Understand → Report → Improve.

The original 2025 pilot involved 15 participants and reported a 4.93 / 5 overall rating, 87% reporting increased confidence and 80% saying the experience changed their perspective on their career.

A later LJMU Psychology cohort reported 100% would recommend the programme, 100% increased their confidence using AI professionally, 85.7% were much more confident, 85.7% improved their understanding of ethical AI, 71.4% developed coding and prototyping capability and 71.4% reported development in teamwork and collaboration.

Each set of numbers belongs to the cohort it came from. They are not combined into a single programme statistic.

Impact metrics

4.93 / 5

Overall programme rating

2025 pilot cohort, 15 participants

87%

Reported increased confidence

2025 pilot cohort

80%

Said it changed their career perspective

2025 pilot cohort

100%

More confident using AI professionally

LJMU Psychology cohort

100%

Would recommend the programme

LJMU Psychology cohort

71.4%

Developed coding and prototyping capability

LJMU Psychology cohort

Evidence

How we know

All figures are drawn from participant surveys completed at the end of each cohort and are reported against that cohort only — the 2025 pilot (15 participants) and an LJMU Psychology cohort — rather than aggregated into one programme-wide number.

Why this mattered

AI capability is becoming part of everyday work, but giving people access to technology does not create capability on its own.

People need permission to experiment, context, useful problems, support, critical thinking, human feedback and somewhere safe to get things wrong. Workplaces will not simply need people who know individual AI products — they will need people who know when to use them, when to question them, and what to do with the output.

Next chapter

What happened next

AI Activator continues to evolve. The next phase includes further university delivery, colleges, community cohorts, work with unemployed and underrepresented groups, employer programmes, sponsored and sector-specific cohorts, international delivery, continued development of the Student Hub and deeper longitudinal impact measurement.

The ambition is not to run more AI courses. It is to build a scalable model connecting people who need experience with organisations that have real problems.

Learning

What we learned

Confidence does not come from knowing every AI tool. It comes from having used technology to solve something that mattered.

Give people a real problem, the right tools, permission to experiment and someone who cares about the outcome. Then see what they can do.

Services, capabilities and impact

Capabilities

  • AI
  • Programme Design
  • Training
  • Facilitation
  • Brand & Identity
  • Websites & Web Apps
  • Data & Automation
  • Prototyping
  • Impact Measurement
  • Events
  • Storytelling

Impact themes

  • Skills
  • Confidence
  • Employability
  • Access
  • Innovation

Related Activation

This work was delivered through AI Activator.

Bring a real challenge to a cohort.

AI Activator works because organisations bring live problems and people get to solve them. If you have a challenge, a cohort or a group who need practical AI confidence, we would like to hear about it.

Tell us what you’re trying to change.