Embedded Files
An AI Adoption Lab to validate human-AI interactions in the real world.
The Problem
Most AI initiatives fail after the pilot. Not because the technology is bad, but because it doesn't fit into the way people work during the moments that matter. This can manifest in different ways:
Recommendations can get ignored
Errors can get blindly followed
Systems may not align with real workflows
Technical accuracy isn't enough. Systems need to fit in with the way people work.
The Solution
An AI Adoption Lab provides a structured way to pressure test human-AI interactions in real world situations, validating AI initiatives based on what actually happens not what is supposed to happen. Drawing on innovation portfolio management, human centred design, rapid experimentation and delivery at scale; the lab has four connected parts, designed to work together.
#1 - Portfolio
Prioritise investment decisions based on impact, feasibility and strategy.
#2 - Design
Translate ideas into practical concepts using human centred AI and service design.
#3 - Experiment
Validate ideas by measuring what people actually do, not what they say.
#4 - Scale
#4 - Scale
Invest with confidence by scaling what works, and stopping what doesn't.
Results
Risk & Investment Confidence
Risk & Investment Confidence
Avoid investing in solutions that look good in pilots but fail in practice
Make go / no-go decisions using behavioural evidence, not opinions
User Trust & Adoption
User Trust & Adoption
Design AI recommendations that people will trust and follow
Maintain quality recommendations with simple error handling and feedback loops
Operational Performance
Operational Performance
Integrate AI interventions with the moments that matter, without slowing things down
Make it easy for users to leverage AI even when under pressure or faced with edge cases
Learning & Consistency
Learning & Consistency
Use custom behavioural nudges to drive consistency across teams
Monitor ongoing AI effectiveness to ensure systems stay relevant over time
AI Adoption Experiments
AI Adoption Experiments are small, fast and focused. Based on the idea that facts are more useful than opinion, users are given rapid prototypes designed to validate key aspects of each idea to avoid wasting time and resources building ideas that don't work. Prototypes are iterated and fine tuned based on evidence, not opinion. Ideas that don't work are killed off, freeing up the organisation to pursue other opportunities.
How to build next best action recommendations that staff will trust and follow.
How to encourage staff to make optimal choices, without removing their autonomy and decision making.
About Me
25+ years in service design, innovation and technology adoption for organisations of all sizes. If you're investing in AI and want clarity on what actually creates value, get in touch.
AI Adoption Lab: Targeted experiments to prove your AI initiatives before they scale
Service Design: Human centred approaches to discover high impact problems and design AI solutions your users will actually use
Innovation Management: Prioritised decision making to focus your investment where it will make the greatest impact
Contact me to find out more
Contact me to find out more
Page updated
Google Sites
Report abuse