AI adoption / AI-ready teams: from curiosity to reliable workflow

Practical bespoke training for teams on how to improve their processes using AI

For teams that want to streamline their work using AI without outsourcing it. Guides you through a hands-on process to redesign workflows, automate what makes sense and keep expertise, quality and control within the team.

This programme helps teams turn AI from a set of ad-hoc experiments into reliable, collaborative workflows. It starts with the work, before the technology: the team redesigns how work gets done, so that AI is applied where it adds real value: improving quality, speed and consistency, without losing the expertise and judgement of the team.

Teams leave with redesigned processes, a shared library of tested prompt frameworks, clear roles, guardrails and human checkpoints, and simple ways to measure impact and continuously improve. All done by the team members themselves, through a lightly facilitated and guided process.

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    • Build a clear, shared understanding of where AI fits naturally into the team’s work.

    • Map current workflows and decide, stage by stage, what AI should automate, what it should augment and what must stay human-led.

    • Define clear roles, responsibilities, guardrails and human checkpoints for safe and consistent use.

    • Develop and test prompt frameworks that are tailored to your workflows.

    • Establish practical ways to track impact and refine workflows over time.

    • Build a clear, shared understanding of where AI fits naturally into the team’s work.

    • A shared, team-owned prompt frameworks and review checklist.

    • Clear accountability for every stage of AI-assisted work.

    • Measurable improvements in efficiency, quality and collaboration.

    • Greater confidence in deciding when AI output is fit for purpose, and where human judgement must stay central.

  • This programme uses three focused interactions to support redesign, implementation and review:

    Discovery and Workflow Mapping (half-day, virtual)
    A structured workshop to:

    • Understand the team’s work, goals, pain points and current AI use.

    • Map one or two priority workflows as they currently run.

    • Identify opportunities where AI could create meaningful improvements, and any governance, information or organisational constraints.

    Design and Build Sprint (full-day, face-to-face)
    An immersive design day where the team:

    • Redesigns priority workflows stage by stage, deciding where AI adds value and where human judgement must remain central.

    • Defines clear roles, responsibilities, guardrails and human checkpoints for safe, consistent AI use.

    • Builds and tests a tailored prompt frameworks with practical review patterns.

    • Establishes metrics to measure improvement and a rhythm for ongoing review.

    Follow-up Workflow Clinic (two-hour virtual session, approximately one month later)
    A practical review session to:

    • Share early results and lessons learned.

    • Refine prompts, processes and guardrails based on experience.

    • Plan the next iteration of workflow improvements.

    • Celebrate progress and sustain momentum.

  • 09:30 – Welcome and orientation

    • Aligning on goals and the value of redesigning workflows together.

    09:50 – Mapping the current state

    • Mapping a priority workflow stage by stage: what happens, who’s involved, where it breaks.

    • Highlighting bottlenecks, handoffs, and quality risks.

    10:45 – Automate, augment or keep it human?

    • Testing each stage of the workflow against automation, augmentation and human-led work.

    • Starting from where the current process causes friction, not from the technology.

    • Assessing value, consequence of error and sensitivity for each potential AI use.

    11:15 – Break

    11:30 – Collaborative redesign

    • Building the workflow with clear roles and human checkpoints.

    • Agreeing guardrails for safe, consistent, and ethical AI use.

    12:30 – Lunch

    13:15 – Prompt pattern development

    • Creating tailored, reusable prompt patterns for key tasks.

    • Testing patterns in real examples to refine for accuracy and clarity.

    14:30 – Stress-test and refine

    • Stress-testing the redesigned workflow against real cases, edge cases and missing information.

    • Agreeing proportionate review: what must be checked, by whom and how closely.

    • Documenting learnings and adjustments for rollout.

    15:15 – Measuring and sustaining impact

    • Setting lightweight metrics for improvement.

    • Agreeing on team rituals for reviews and continuous optimisation.

    16:00 – Commitments and action plan

    • Defining ownership and next steps.

    • Scheduling follow-up and support touchpoints.

    16:30 – Close