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AI adoption programme for an education organisation

An end-to-end AI adoption programme for an education organisation, combining re-engineered workflows, embedded AI tools and practical training, so AI became part of everyday work rather than a side experiment.

Client
Education organisation
Services
AI strategy, workflow redesign, automation, training
Status
Phase two under way
  1. The situationAI tools bought, but not adopted.
  2. The briefEmbed AI in everyday work.
  3. What we didWorkflows, tools and people changed together.
  4. The resultTask time cut to around a tenth.

Why this matters now

AI tools are easy to buy and hard to adopt.

Most organisations can access capable AI tools, but access is not adoption. Value appears only when workflows, tools and people’s habits change together. Education organisations feel this sharply, with lean teams and heavy administrative workloads.

AI adoption fails when it is treated as a technology purchase.

The client’s challenge

Bringing AI into daily work, not just onto desktops.

Teams carried complex, largely manual work that consumed most of their time. The organisation wanted AI in its daily operations but lacked the experience to redesign work around it, train its people and embed new tools without disrupting service.

The brief

Introduce AI, train the people, embed it in the work.

Find where AI and automation could remove the heaviest manual effort, redesign that work, put the right tools in place and train staff so the new ways of working stick.

How we delivered

Workflows, tools and people, changed together.

  1. One programme lead

    A single Glyz contact from discovery to adoption, working with leadership and teams.

  2. Find the effort

    Mapped how work was really done and where AI would release the most time.

  3. Re-engineer the work

    Workflows redesigned around AI and automation, not tools added on top.

  4. Embed the tools

    AI built into the teams’ daily routines.

  5. Train the people

    Practical, role-based training, including where human judgement still applies.

  6. Measure the work

    Progress tracked on outcomes, not tool usage.

Our thinking

Redesign the work, fit the tools to it and support people to change, all as one programme. That is what turns AI from a purchase into a new way of working.

What it delivered

The result.

  • ~10%

    Of the original time

    now needed for a heavily manual task, within the first two months.

  • ~70%

    Better productivity and accuracy

    on the re-engineered work.

  • Confident teams

    Staff trained and using AI in their daily work.

  • Phase two under way

    Extending AI across further operations and supporting a wider change in mindset.

Our client work is confidential. The visuals on this page show our approach and design thinking, not the client’s approved materials.

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