AI by design: Sustain

For organisations with live AI implementation, that need visibility into performance and impact

You have AI initiatives up and running but you need to know if it's delivering value.

Sustain measures performance, tracks impact, and assesses adoption to show what’s working and what needs to improve.

Over 8–12 weeks, we evaluate real-world outcomes and give you a clear path for optimisation and continuous improvement.

Timeline: 8 to 12 weeks

What we do

Phase 1: Performance & impact evaluation

    • Review data integrity and metric definitions to ensure accurate performance tracking

    • Confirm that success measures remain aligned with evolving business objectives and AI use cases

    • Measure AI performance against defined success metrics

    • Calculate business impact: ROI, efficiency gains, cost savings, quality improvements

    • Compare results against initial success criteria

Phase 2: Adoption & user experience assessment

    • Track adoption behaviour through available data sources

    • Identify whether AI integrations are being used or bypassed

    • Conduct user interviews to capture perceived value, friction points, and barriers to adoption

    • Surface gaps between intended use and actual behaviour to uncover adoption drivers and blockers

Phase 3: Optimisation & continuous improvement

    • Integrate performance and adoption insights into a single view of what’s working and what’s not

    • Identify targeted enhancements to increase measurable value and user adoption

    • Recommend next steps: what to scale, what to refine, what new opportunities to explore

    • Define required resources, sequencing, and success metrics to support continuous improvement

Outcomes & Cost

Deliverables

  • Performance & impact report

    Assessment of AI initiative performance, business impact, ROI, and adoption patterns presented in executive readout with supporting documentation.

  • Improvement recommendations
    Specific recommendations for increasing value, improving adoption, or scaling AI initiatives—based on performance evidence and user feedback.

Expected outcome

  • Clear evidence of AI performance and impact, with recommendations on what to improve or scale next.

Indicative price

from $50,000

    • The AI solution has been in use long enough to capture user and performance data.

    • Access to relevant datasets and user feedback is granted.

    • Evaluation scope focuses on measurement and improvement, not redevelopment.

    • No major functional changes are made to the AI solution during the review period.

Get started today

Think it. Test it. Transform it.

Check out the other phases of our AI strategy roadmap

  • Two women sitting at a table in a lush, green indoor garden, looking at a tablet and smiling.

    Sense

    Understand where you are and where to go.

    You’re at the start of your AI journey.

    Read more
  • A woman is writing on a transparent board with many people sitting behind her in a classroom or workshop setting.

    Shape

    Turn ambition into actionable AI opportunity.

    You’re ready to turn AI ambition into actionable opportunities

    Read more
  • A woman with glasses and headphones around her neck working on a desktop computer at an office desk, with a glass desk lamp and office supplies nearby.

    Spark

    Prototype and validate what works.

    You have defined use cases and want to test them.

    Read more
  • Group of five young adults working on laptops around a wooden table in a cozy room with wooden walls, some with headphones, in a collaborative setting.

    Scale

    Move from pilot to production.

    You have validated prototypes ready for operational deployment.

    Read more

  • Sustain

    Measure impact and evolve responsibly.

    AI has been implemented, but you want visibility into performance and impact.

Have a budget or a tight timeline?

Reach out to discuss how we can tailor our approach to suit your requirements.

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AI by design: Scale