Similarly, the , which surveyed IT leaders about their AI adoption, revealed that while 85% of organisations have implemented a data strategy and 77% have invested in AI-related technologies, but only 31% have seen a return on their investment.
So, how do companies ensure successful PoVs?
Here are 8 simple strategies I compiled from various talks presented at the survey , 44% reported hiring top talent from external sources, 30% have formed partnerships with academic institutions, and 22% organise hackathons to tackle new challenges.
Example: An insurance company includes its risk, compliance, and IT teams when developing an AI model for fraud detection. By involving these departments, they ensure the AI solution adheres to regulatory standards, minimises risk, and effectively addresses both technical and business needs.
#8 Think Big but Start Small
A company may have a clear vision of how AI can transform its business processes, but it’s wise to start with a small, manageable use case. Starting small enables quick wins while ensuring the solution can scale to meet future demands.
Example: A global manufacturer envisions an AI solution to monitor equipment health across all plants worldwide. However, they first implement it in one facility to demonstrate quick wins in reducing equipment downtime. After success in the pilot, they scale it company-wide, informed by insights gained from the smaller rollout.
The future of AI projects
In the AI-driven world, where technical feasibility is often not the most pressing concern, PoC is no longer sufficient to justify large-scale investments. Proof of Value offers a more robust framework, focusing on real-world outcomes, measurable business value, and strategic alignment. The transition from PoC to PoV allows companies to de-risk AI projects, ensure stakeholder buy-in, and achieve scalable success.
By focusing on value rather than just feasibility, organisations can better position themselves to harness the true power of AI, ensuring that their investments lead to meaningful business transformations.
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