The Role Layer Founding Contributor Plan
Gain early visibility into how senior leaders across enterprises are committing, or hesitating, on AI, before those decisions harden into consensus
Quaie produces role-based predictive intelligence focused on how AI adoption decisions form inside enterprises.
Each edition of The Role Layer Intelligence Quarterly is designed to inform capital allocation decisions now and to become more valuable over time as role-level patterns compound across quarters.
A limited Founding Contributor Annual Plan is open for the inaugural research cycle. Founding Contributor annual access is £1,499/year — 50% off the standard rate of £2,998/year, locked for the life of your subscription. The first edition of The Role Layer Intelligence Quarterly publishes April 2026, following completion of the Q1 research cycle.
The Role Layer Intelligence Quarterly is a quarterly intelligence report produced by Quaie. Annual subscribers receive four quarterly editions (Q1 April, Q2 July, Q3 October, Q4 January), The Role Layer Annual Synthesis (January), The Role Layer Audio Briefings, and full access to the growing intelligence archive.
Who This Is For
Primary audience: Senior decision-makers at mid-to-large enterprises responsible for AI direction, capital allocation, and execution, across all ten C-suite functions (or regional equivalent): CEO, CTO/CIO, COO, CFO, CMO, CRO/CSO, CDO, CISO, CHRO, and CLO.
Also relevant for: Agency heads, PE operating partners, board-level advisors, and AI platform leaders seeking independent visibility into how AI adoption decisions are forming inside enterprises. Operator decision data drives the predictive signal. Other cohorts have visibility into patterns, not influence over conclusions.
What Founding Contributors Receive
Annual Plan — £1,499/year
(50% off the standard rate of £2,998, locked for the life of your subscription. Available to survey contributors underwriting Quaie’s inaugural longitudinal dataset.)
The Role Layer Intelligence Quarterly. Four in-depth, board-ready reports per year grounded in live, role-based data from senior decision-makers across ten C-suite functions. Each edition analyses AI adoption across six decision dimensions, revealing where AI value is stabilising, which roles lead and which follow, where internal misalignment is blocking progress, when organisational consensus makes action rational, how aligned leadership systems are on AI strategy, and which roles most strongly influence adoption decisions.
The Role Layer Audio Briefings. Role-specific audio summaries of quarterly findings, tailored to your C-suite function.
The Role Layer Annual Synthesis. A year-end synthesis consolidating four quarterly editions of The Role Layer into a single, executive-level view of how AI adoption dynamics evolved across the year.
Full Access to the Intelligence Archive. Ongoing access to all published editions of The Role Layer Intelligence Quarterly, enabling longitudinal comparison and early visibility into emerging patterns and risks as they form. Each quarter of archived data adds signal that cannot be collected retrospectively. The Role Layer Intelligence Quarterly is designed to compound, longitudinal patterns emerge only across multiple quarters, and all subscribers receive the complete archive from day one.
This is decision intelligence designed for people responsible for strategy, budgets, and execution, not tools, tactics, or hype.
The Role Layer Intelligence Quarterly Q1 2026
Quarterly Intelligence Report — Q1 Baseline Signals
January — March 2026
How Founding Contributors Use Quaie
Founding Contributors use Quaie to pressure-test AI decisions before budgets, hires, and platforms are locked in.
Quaie publishes four editions of The Role Layer Intelligence Quarterly per year. Each edition compounds in value as new quarters add signal. They are designed to be revisited, not read once.
Specifically, each edition will help you determine:
Whether your AI investment is early, late, or correctly timed before organisational commitment becomes irreversible
Which leadership roles are pulling adoption forward, which are quietly slowing progress, and which ultimately determine whether decisions move forward at all
Where peers are committing capital and where hesitation signals unresolved risk
Whether your leadership system is aligned enough to scale safely or structurally primed to stall
Which organisational bottlenecks are likely to surface in the next 6–12 months and why
Where AI value is becoming structural inside enterprises rather than performative or experimental
The result is not consensus, it is clarity:
Clear ownership where adoption is fragmented
Early intervention before performance impact is visible
Decision cover grounded in external signal rather than internal politics
Visibility into which roles shape adoption decisions and whether leadership alignment is strengthening or weakening
Founding Contributors use Quaie to pressure-test AI decisions before budgets, hires, and platforms are locked in.
Quaie publishes four editions of The Role Layer Intelligence Quarterly per year. Each edition compounds in value as new quarters add signal. They are designed to be revisited, not read once.
How It Works
Click “Become a Founding Contributor” to begin your annual subscription at £1,499/year
Receive immediate confirmation and Founding Contributor status
The first edition of The Role Layer Intelligence Quarterly publishes April 2026, following completion of the Q1 research cycle
Receive each subsequent edition upon publication: Q2 (July), Q3 (October), Q4 (January)
Receive The Role Layer Audio Briefings, tailored to your C-suite function
Receive The Role Layer Annual Synthesis (January)
Receive full access to the growing intelligence archive from day one
All prices are exclusive of VAT where applicable. Founding Contributor pricing is honoured for as long as your subscription remains active. For team or organisation-wide access, contact contact@quaie.io.
Standards & 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