New research underscores the critical need for CIO-CRO alignment and emergence of ‘Revenue Architects’ to unlock AI’s full value
Clari Labs has released a landmark research report titled AI Adoption in Running Enterprise Revenue, revealing that while AI is poised to transform enterprise revenue operations, 78% of organizations remain stuck in early-stage adoption — primarily due to a lack of trust in their own data.
The report, which surveyed 400 senior revenue leaders from large enterprises across North America, found that 67% of them don’t trust the revenue data that AI models rely on. This fragmentation — across CRMs, spreadsheets, emails, and siloed teams — is stalling AI-driven growth initiatives and creating blind spots that lead to missed targets and high-risk decision-making.
“Most CIOs lack the data and context to answer the fundamental question: who did what, when, and what was the outcome? Without Revenue Context, AI will fail them.”
— Andy Byrne, CEO & Co-Founder, Clari
Clari’s findings also highlight a growing trend: the rise of the Revenue Architect. These new enterprise leaders are responsible for ensuring the structural readiness of organizations to deploy AI at scale — by aligning systems, integrating data, and enabling guided execution across go-to-market functions.
To address these challenges, Clari introduced Revenue Context™, a set of platform capabilities designed to unify all signals and workflows across the revenue lifecycle, enabling AI agents to work collaboratively with human teams.
As Indian enterprises continue to invest in AI to drive growth and forecasting accuracy, Clari’s research sends a clear message: AI success starts with clean, trusted, contextual revenue data — and a new strategic partnership between the CIO and CRO.
