Organizations are accelerating spending on AI—driving more pilots and projects than ever. But in the race to implement AI, maintaining traction isn’t easy.
To deliver on the business impact of Ai, leaders must balance throttle and traction. Key to this is the ability to Pitstop Ai.
Where Is Ai Traction Needed?
AI strategies can easily spin their wheels in four areas:
Business Traction – Business Impact, Strategy & Success
GRC Traction – Governance, Risk & Compliance
People Traction – Culture, Change & Adoption
Tech Traction – Scalability, Robustness & Data Readiness
There is growing awareness that Ai success won’t be determined by the greatness of the technology or the hype around it, but by the level of traction across all 4 areas. But what does the data say?
Where Is AI Slipping?
Data suggests that most Ai strategies are slipping in at least one area:
Business Traction: 95% of AI pilots fail to deliver business impact (MIT)
GRC Traction: Over half of AI tools inside organizations are unsanctioned (Gartner)
Tech Traction: 49% of leaders say lack of an AI-ready data strategy blocks success.
People Traction: Although key to adoption, only 52% provide employee training on Ai.
Given the speed of change and innovation, challenges around traction are inevitable. They are not a reflection on the CIO or CTO, but on the reality of change and transformation in large organisations. Managing traction is probably one of the most powerful strategies available to any leader.
How to Accelerate Without Losing Traction?
Leaders can take inspiration comes from the pitstop as a means of dynamic mid race adjustment and effective collaboration aimed accelerating without losing traction.