AI Adoption Widespread, Yet Value Realization Stalled by Integration Gaps
Event summary
- 59% of organizations have AI in production, but most are focused on efficiency gains, not revenue growth.
- Only 30% of surveyed organizations report AI impacting new revenue streams, while 64% see productivity improvements.
- 71% of organizations embedding AI into workflows realize substantial or moderate value, compared to 16% realizing a high degree of measurable value overall.
- 69% of respondents cite legacy systems as a barrier to scaling AI enterprise-wide.
- AI agent adoption is lagging in core operational areas like procurement, manufacturing, and supply chain.
The big picture
While AI adoption is widespread, the failure to translate that adoption into tangible business value underscores a broader challenge: AI's potential is unlocked not by deployment alone, but by seamless integration into existing workflows and processes. This suggests a shift in focus from experimental AI projects to strategic, enterprise-wide automation initiatives, where platforms like Appian, which emphasize process orchestration and governance, may see increased demand. The survey’s findings also highlight the persistent burden of legacy infrastructure, which continues to impede digital transformation efforts across industries.
What we're watching
- Integration Imperative
- The disconnect between AI deployment and value realization highlights the critical need for deeper workflow integration, suggesting Appian’s process automation focus will be increasingly relevant.
- Legacy Constraints
- The pervasive impact of legacy systems will continue to constrain AI scalability, forcing organizations to prioritize modernization efforts and potentially creating opportunities for platform providers.
- Agent Governance
- The limited adoption of AI agents in core operations, coupled with a lack of defined guardrails, indicates a need for robust governance frameworks to mitigate risk and ensure responsible AI implementation.
Related topics