Enterprise AI intelligence
sourced from the practitioners deploying it
You’re spending millions on AI without knowing what comparable enterprises are doing. We built a quarterly study of Fortune 1000 technology leaders — their spend, their vendors, their governance posture — so you can stop guessing.
Fortune 1000
Panel
12 Industries
Across
VP+ / C-Suite
Respondent Level
Updated Quarterly
Refresh
You already know something is missing. Here's what.
Stop settling for enterprise “research” that’s just vendor content marketing.
We built something different: a practitioner-only panel. Designed by a team with 30 years of enterprise benchmarking and executive research experience.
Fortune 1000 technology leaders who participate quarterly. No vendor participation — vendors buy access to the results.
Flying blind on AI spend
You’re allocating millions with no visibility into what comparable enterprises are spending, deploying, or getting in return.
Billions in AI marketing. Zero independent data.
The vendor landscape makes it nearly impossible to separate marketing from reality when evaluating AI investments.
Stakeholders in the dark
Your board, your ELT, your LOB leaders — they all want to know where the company stands on AI. You don’t have the report to hand them.
What members receive.
A tear sheet of your company’s AI vital stats
Your spend, vendor stack, adoption maturity, and technology roadmap — all in one place. The data your board and executive team actually asks for, ready to present.
A peer comparison benchmark against Fortune 1000 companies
See exactly how your AI investments compare to anonymized peers in your industry and company size. Where you over-invest, where you under-invest, and where you’re ahead.
Four proprietary indices updated every quarter
Heat Index (where new budget is going), Adoption Index (what’s already deployed), Vulnerability Index (which vendors are at risk), and Spend Index (where dollars actually flow).
A private community of enterprise AI practitioners
A verified network of CTOs, CIOs, and Heads of AI. Invitation-only research dinners in major markets. Chatham House Rule. All participants are vetted enterprise practitioners.
What the Enterprise Pulse covers.
Foundation Models
Provider selection, multi-model strategy, and spend allocation across OpenAI, Anthropic, Google, and open-source alternatives.
AI Governance & Risk
Policy frameworks, model evaluation practices, compliance requirements, shadow AI management, and responsible deployment.
AI Compute
Cloud AI platforms, GPU provisioning, inference vs. training spend, and vendor consolidation patterns.
Data Foundation
Data warehouses, lakehouses, vector databases, orchestration tooling, and production ML infrastructure.
AI Software Engineering
Coding assistants, developer productivity tools, AI-assisted testing, and deployment automation.
Consulting & System Integrators
Big 4, MBB, and global SIs — satisfaction ratings, switching intent, and budget allocation.
30 minutes. Quarterly. That's the ask.
Apply
Apply to the Arcana Research community. Open to enterprise technology leaders at Fortune 1000 companies who are actively deploying AI. We verify every participant.
Participate
Complete the Arcana AI Enterprise Pulse — a quarterly study (~30 minutes) covering your AI spend, vendor evaluations, deployment status, and strategic priorities.
Benchmark
Receive a tear sheet of your AI vital stats, a peer comparison benchmark, full access to four proprietary indices, and community membership.
Four lenses on enterprise AI. All practitioner-sourced.
Our proprietary indices are built from quarterly study data collected from enterprise AI leaders at Fortune 1000 companies. No vendor funding. No analyst opinion. Just deployment data.
Methodology: Structured quarterly study administered to a verified panel of enterprise technology leaders at companies with $1B+ revenue. All responses are anonymized. Indices are computed from deployment status, spend allocation, satisfaction ratings, and adoption intent. No vendor input. No analyst opinion.
Heat Index
Where new budgets are going
A 0–100 score for emerging AI technologies based on near-term adoption plans, pilot activity, and new investment momentum. Tracks where the next dollar goes — not what’s already deployed.
Early data from our founding cohort. Full index available to members.
Adoption Index
What’s already deployed
Which AI technologies are in production at Fortune 1000 companies today. Sourced from practitioner ratings across six core categories — shows what your peers have actually shipped, not what they’re planning.
Early data from our founding cohort. Full index available to members.
Vulnerability Index
Who’s at risk
Which AI vendors are at risk of losing enterprise customers — and to whom. Based on satisfaction scores, switching intent, and competitive displacement patterns from our practitioner panel.
Early data from our founding cohort. Full index available to members.
Spend Index
Where budgets go
Where enterprise AI budgets actually flow — by category, company size, and industry. Tracks quarter-over-quarter allocation shifts across infrastructure, platform, and application layers.
Early data from our founding cohort. Full index available to members.
The data your board deck is missing.
Apply to the Arcana AI Enterprise Pulse
Contribute 30 minutes per quarter. Receive a tear sheet of your AI vital stats, a peer comparison benchmark, and access to four proprietary indices. Walk into your next board meeting with the data.
For AI vendors interested in Pulse data access, contact ken@arcanaresearch.com