Your AI solution is live, but do you know if it’s delivering value? Sustain gives you clarity on performance, adoption, and impact, so you know what’s working, what’s not, and where to focus next.
What’s inside Sustain
A structured evaluation to understand how your AI performs in the real world and where to improve next:
Data and metric validation
Performance measurement
Value analysis
Adoption diagnostics
User experience insights
Optimisation and improvement planning
When Sustain might be what you need
When your AI solution is live but you lack visibility into real performance.
When adoption is unclear and you need to know if teams are actually using it.
When you need evidence to guide what to scale, refine, or rethink.
Sustain
What we do
We validate data and impact, assess real-world usage and adoption, and translate those insights into targeted improvements and a roadmap for continuous optimisation. Timeline: 5 weeks
Starting at
$50,000
What you get
A performance and impact report detailing ROI, value, and real-world adoption patterns.
Evidence-based improvement recommendations outlining what to refine, scale, or adjust.
Assumption:
The AI solution has been live long enough to gather performance and usage data.
Access to relevant datasets and user feedback is provided.
Evaluation covers measurement and improvement, not redevelopment.
No major functional changes are made during the review period.
Phase 1: Performance & Impact Evaluation
Data & Metric Validation
We confirm the foundation is solid before measuring impact.
Review data integrity and metric definitions.
Validate alignment between success measures and business goals.
Performance Measurement & Value Analysis
We measure real outcomes against what success was meant to look like.
Measure AI performance against defined metrics.
Calculate business impact (ROI, efficiency, cost savings, quality gains).
Compare results against initial success criteria.
Phase 2: Adoption & Experience Assessment
Usage & Adoption Diagnostics
We examine how the AI is actually being used in the real world.
Analyse usage patterns and adoption rates.
Identify where AI is being used or bypassed in workflows.
User Experience & Behavioural Insights Analysis
We capture how people experience the AI and why they use or avoid it.
Interview users to uncover value, friction, and barriers.
Identify gaps between intended use and real behaviour.
Phase 3: Optimisation & Continuous Improvement
Performance Synthesis & Improvement Planning
We integrate insights to identify what to enhance, fix, or evolve.
Combine performance and adoption findings into a single view.
Identify targeted improvements to increase adoption and value.
Strategic Roadmap
We define what happens next.
Recommend what to scale, refine, or explore.
Outline required resources, sequencing, and success metrics.
Your team
Who you'll have on the team
Lead Strategist
To shape the business case, define success metrics, and ensure integration and adoption plans are grounded in real organisational needs..
Design Researcher(s)
To support training, understand user behaviours during adoption, and ensure workflows are designed for real-world use.
AI & Data advisor
To support system integration, validate technical feasibility, and work with engineering teams to ensure stable deployment.
Free 60-minute discovery session
Not sure if this is the right starting point? In 60 minutes, we assess where you stand and recommend the right stream. No obligation.
