Crafting Durable AI Solutions: Transparency as Your Key Advantage
In the rapidly evolving world of artificial intelligence (AI), a new concept has emerged: Sticky AI. This approach aims to make AI products trustworthy, effective, and widely adopted by users. Although the term "Sticky AI" wasn't explicitly defined in search results, its principles align closely with robust AI strategies that improve user trust and adoption.
The four pillars of Sticky AI can be summarised as follows:
- Business Goal Alignment: AI initiatives must be directly tied to clear, measurable business objectives. By ensuring AI delivers real-world value and solves genuine problems, it increases trust and adoption, demonstrating concrete benefits.
- User Understanding and Experience: Knowing users' needs, preferences, and behaviours, and simplifying the user experience helps create AI products that resonate and feel intuitive. This improves adoption because users feel the AI is personalised and helpful, rather than intrusive or complex.
- Governance and Compliance: Proper governance, including maintaining inventories of AI systems and use cases, regulatory compliance, and risk management, helps build trust by addressing ethical, legal, and security concerns. Knowing that the AI is safe, fair, and compliant reduces user fears and barriers to adoption.
- Operational Integration and Continuous Improvement: Embedding AI into workflows and refining it with ongoing feedback enhances employee experience and operational efficiency. AI that augments human tasks and adapts over time is more likely to be embraced and retained by users.
These pillars improve user trust and adoption in AI products by ensuring practical and outcome-driven solutions, creating a user-centric experience, implementing strong governance and transparency, and facilitating seamless integration with human workflows.
Anna Turos, a Startup Mentor and the Head of Design at Lighthouse HQ, emphasises the importance of prioritising explainability from day one to achieve faster user adoption and stronger retention. She is also a Wtech Community Partner.
In a market where 78% of organisations use AI, the winners will be the products that users actually want to use every day. The pattern is consistent: Founders who prioritise explainability see faster user adoption and stronger retention.
However, 70% of AI implementation challenges stem from people- and process-related issues. Embracing iterative transparency allows transparency strategies to evolve with the user base's AI literacy. Measuring user comprehension, not just engagement, is important for transparent AI systems.
In conclusion, the future of AI lies in its ability to be Sticky—meaning users want to keep using it because it consistently delivers value they trust and appreciate. By focusing on these four pillars, AI developers can create products that not only perform well but also resonate with users, fostering a stronger and more lasting relationship.
Anna Turos, a Startup Mentor and the Head of Design at Lighthouse HQ, underscores the necessity of prioritizing explainability from the beginning, aligning with the four pillars of Sticky AI, to achieve quicker user adoption and stronger retention.
Incorporating technology such as artificial-intelligence that adheres to these pillars, organizations can compete in a market where 78% of companies already use AI, becoming the products users prefer for daily use. Anna Turos, as a Wtech Community Partner, advocates for the importance of iterative transparency to address people- and process-related challenges, improving user comprehension to build trustworthy AI systems.
