What We Think · Research
Original research from 200+ enterprise leaders across Gulf, India, and global markets. Grounded in production deployments. Not in analyst projections.
Elixir's research programme surveys enterprise leaders, analyses production AI deployments, and publishes sector-specific findings. Every research output is traceable to an actual deployment or a structured survey. No synthetic benchmarks. No vendor-sponsored research conclusions.
200+
Enterprise leaders surveyed across Gulf, India, and global markets for the AI Outlook 2026
4
Production hypercases grounding the research: Healthcare, Manufacturing, BFSI, Procurement
Annual
The Elixir AI Outlook publishes annually. The 2026 edition covers where enterprise AI is stalling.
Original
Every research output is primary research from Elixir's own survey and deployment data.
Elixir's research comes from two sources: structured enterprise leader surveys across the Gulf, India, and North America, and primary analysis of production AI deployment data across Elixir's own client base. The combination gives the research a grounding that analyst-house reports, which rely on secondary data and structured interviews with a small number of reference clients, typically do not have.
Featured research
The Elixir AI Outlook 2026.
Annual Research Report · 2026
The Elixir AI Outlook 2026: Where Enterprise AI Is Stalling and What Separates the Firms That Are Not
After two years of AI investment, most enterprise programmes have not reached production. This report surveys 200 enterprise leaders across the Gulf, India, and global markets to identify the structural differences between organisations generating returns and those still running pilots. The findings confirm five consistent structural decisions. The report is the research backing for the AI-First Manifesto.
Download the reportAI Outlook
2026
Where Enterprise AI
Is Stalling
All research
Published reports and working papers.
01/ 04
The Elixir AI Outlook 2026: Where Enterprise AI Is Stalling
Primary research across 200 enterprise leaders. Identifies the five structural decisions that separate production AI programmes from stalled pilots. Covers Gulf, India, and global markets.
Healthcare Revenue Cycle in 2026: The Operations Still Running on Manual Processes
Analysis of claim denial rates, RCM process design, and AI production deployment data across Gulf and US healthcare enterprises. Identifies the design decisions that determine whether AI reaches production in the revenue cycle.
SAP S/4HANA Migration Failures: The Three Decisions That Determine Outcome
Analysis of S/4HANA programme failure patterns across 500+ engagements. The three decisions: data readiness confirmation, scope management, and named delivery accountability. Each is analysed against programme outcome data.
Agentic AI in Finance Operations: A CFO Decision Framework
Structured framework for CFOs evaluating AI investment in the finance function. Covers the five questions a CFO should be able to answer before approving an AI deployment in AP, AR, close cycle, or regulatory reporting.
Research grounded in production deployments, not in analyst projections.
Download the Elixir AI Outlook 2026 and receive new research as it publishes. Subscribers receive each report before it is publicly released.
Research programme
Elixir AI Outlook 2026Healthcare RCM researchSAP migration analysisCFO decision frameworkResearch basis
200+ enterprise leaders surveyedGulf, India, global marketsProduction deployment dataRelated
Annual AI OutlookIndustry BenchmarkingPerspectives BlogResearch backing
AI-First ManifestoAgentic AI FrameworkVPRC R&D Portfolio