Why this discussion, and why now?

2025 marks the year when mainstream enterprises are moving beyond AI experimentation to develop concrete strategies and implementation plans. As organisations transition from pilot projects to production deployments, understanding the trust and confidence dimensions becomes critical for successful adoption.

First thoughts on scope and emphasis

• Examining trust dynamics across different types of AI applications and use cases
• Understanding varying perspectives of IT teams, business stakeholders, customers, and partners
• Mapping the journey from initial skepticism to confident deployment
• Identifying key barriers and enablers of trust in AI systems
• Exploring the balance between human oversight and AI autonomy
• Practical approaches to building and maintaining stakeholder confidence

Format/deliverable

This could work as either a discussion document, thought leadership piece or a research project, incorporating both quantitative survey data and qualitative insights from decision-makers.

Who might this be of interest to?

Particularly relevant for vendors seeking to build advisory relationships with customers around AI adoption. This includes technology providers positioning around the complementary value of human expertise alongside automated tools, as well as consulting firms helping enterprises develop their AI strategies.