The Role Layer Intelligence
A full year of intelligence on the decisions that determine whether your AI investments create durable advantage. Or enterprise transformation delays or failure.
Gain early visibility into how senior leaders across enterprises are committing, or hesitating, on AI, before those decisions harden into consensus.
Pressure-test AI decisions before budgets, hires, and platforms are locked in.
Annual access is £2,998. The first edition of The Role Layer Intelligence Quarterly published April 2026 and is available now.
The Role Layer Q1 dataset: the CFO sits ahead of the COO in AI adoption
Investment is not the primary constraint. Operational evidence is.
The assumption typically runs the other way: finance is expected to be the constraint. The Q1 dataset shows it is not.
If you cannot identify where the constraint sits across roles, you are allocating capital without visibility — and committing before it is resolved is where programmes begin to delay or fail.
The Role Layer Intelligence Quarterly maps this at role level across ten C-suite roles, by revenue band and sector, each quarter. Not to tell you what is happening generally. But to show you specifically where your leadership system sits inside the pattern. Role by role.
Enterprise AI adoption is not a technology problem
Enterprise AI adoption does not fail for lack of technology. It fails where alignment across roles on value, risk, and timing breaks down.
95% of enterprise AI pilots fail to reach production (MIT, 2025).
Nearly two-thirds of organisations remain in experimentation (McKinsey, 2025).
The binding constraint is not the technology. It is the organisation.
The Role Layer dataset measures how alignment forms across roles, quarter by quarter, before outcomes are visible.
Who this is for
Senior decision-makers at mid-to-large enterprises responsible for AI investment, capital allocation, and execution under uncertainty.
Across the C-suite: CFO, CEO, CTO/CIO, COO, CMO, CRO/CSO, CDO, CISO, CHRO, and CLO (or regional equivalents).
67.4% of organisations in the Q1 dataset cannot confirm durable economic value from AI deployment. Commitment is proceeding ahead of evidence. Most organisations believe they have crossed the evidence threshold. The Q1 dataset suggests otherwise.
The Intelligence
Annual Access — £2,998
The Role Layer Intelligence Quarterly Q1 Baseline Edition. Available now, following completion of the Q1 research cycle, January to March 2026.
The Role Layer Intelligence Quarterly. Four subsequent in-depth, board-ready reports grounded in live, role-based data from senior decision-makers across ten C-suite functions. Each edition reveals where adoption is stabilising, which roles lead and which follow, and where misalignment is blocking progress. Each edition is designed to inform capital allocation decisions now and to become more valuable over time as role-level patterns compound across quarters.
How leadership roles reach AI conviction at different speeds, and what that distance costs. The complete role-level scores, rankings, and configurations across ten C-suite roles and what they predict about where your AI deployment will succeed and where it will stall.
The Role Layer Annual Synthesis. A year-end synthesis consolidating four quarterly editions into a single, executive-level view of how AI adoption dynamics evolved across the year.
This is decision intelligence designed for leaders responsible for strategy, budgets, and execution, not tools, tactics, or hype.
The six decisions The Role Layer Intelligence is built to support
Where is AI already creating repeatable economic value?
Which leadership roles lead adoption and which reliably follow?
Where will internal misalignment slow or block progress?
When does organisational consensus make action rational?
How aligned is the leadership system on AI strategy?
Which leadership roles most strongly influence adoption decisions?
These are the decisions that determine capital allocation. They cannot be answered by vendors, dashboards, or static trend reports. Every element of Quaie’s methodology is designed to answer them directly.
47.1% of organisations in the Q1 dataset are committing to AI deployment before resolving coordination across leadership roles. Coordination is being resolved after commitment, not before.
What you access and when
The first edition of The Role Layer Intelligence Quarterly published April 2026, following completion of the Q1 research cycle, available now
Each subsequent Role Layer Intelligence Quarterly edition upon publication — Q2 (July ‘26), Q3 (October ‘26), Q4 (January ‘27), Q1 (April ‘27)
The Role Layer Annual Synthesis (January ‘27)
The Role Layer Intelligence is available on annual subscription only, reflecting its quarterly publishing cycle. The monthly plan displayed at checkout is priced identically to the annual plan. Select Annual for the correct billing frequency.
All prices are exclusive of VAT where applicable. For team or organisation-wide access, contact contact@quaie.io.
Standards and governance
Quaie publishes its research under a defined set of methodological, ethical, and editorial standards.
Methodology: how data is collected, analysed, and interpreted
Research Ethics: how contributors and organisations are protected
Editorial & Commercial Independence: how editorial judgement is insulated from commercial influence