Original reports and studies
Surveys, interviews, and structured analysis focused on the business and operating consequences of AI and emerging technology.
FutureCentral Research
Original evidence for decisions at the intersection of AI and industry.
India-relevant research on how organizations adopt AI, redesign work, manage risk, build capability, and turn experimentation into measurable value.
Research that connects the industries
FutureCentral Research is the evidence and decision-intelligence arm of FutureCentral. We combine original research with the specialist perspective of FutureCentral Intelligence to compare what AI changes across industries—and translate the findings into decisions leaders can use.
Indexes and benchmarks
Repeatable measures of adoption, readiness, governance, capability, and value that make meaningful comparison possible over time.
Decision tools and briefings
Clear interpretation, practical frameworks, and executive-ready outputs that move evidence from the report into the room where decisions are made.
First flagship programme
India Enterprise AI Adoption and Value Study 2026–27
A cross-industry study of where Indian organizations are moving beyond experimentation, how they are governing AI, and which capabilities distinguish sustained value from pilots that never scale.
The central question
Where are Indian organizations converting AI experimentation into measurable operational or commercial value—and what separates them from organizations that remain stuck in pilots?
Strategy and executive sponsorship
Production adoption and workflow integration
Data and technology readiness
People, skills, and operating models
Governance, oversight, and risk
Value realization and measurement
The programme is in development. Study details, participation opportunities, and publication dates will be announced as the research launches.
A cross-industry research agenda
Our work follows the same question across different operating environments: what changes when AI meets the realities of a particular industry?
Enterprise AI adoption and valueFrom experimentation to production, with attention to investment, operating change, and measurable outcomes.
AI governance and responsible adoptionDecision rights, oversight, testing, monitoring, accountability, and sector-specific risk.
Financial services and fintechAI across banking, payments, lending, risk, insurance, and sustainable finance.
Healthcare and health technologyReadiness, workflow integration, data, trust, and responsible deployment in high-stakes settings.
Agribusiness and climate transitionTechnology adoption, financing, supply chains, sustainability, disclosure, and scaling constraints.
Marketing, entrepreneurship, and workHow AI changes customer systems, founder workflows, professional roles, skills, and business formation.
What readers can expect
Credible research depends on more than a polished report. We are building the programme around four public commitments.
Original evidence
Research questions are answered through primary data, structured analysis, and clearly identified sources.
Transparent methods
Published work will explain its methodology, sample, definitions, limitations, and material assumptions.
India relevance
Global developments are interpreted through Indian markets, institutions, regulation, firms, and professional practice.
Decision usefulness
Findings are designed to support action through comparisons, implications, charts, frameworks, and practical tools.
Research for people making consequential decisions
FutureCentral Research is designed for leaders who need an evidence base that is current, specific, and usable.
CXOs and transformation leadersTechnology and functional leadersFounders and investorsConsultants and advisersFaculty and institutionsPolicy and industry bodies
Work with FutureCentral Research
Speak with us about research participation, institutional access, evidence-led executive briefings, research partnerships, or a carefully governed sponsored study. Any partnership or sponsorship connected to published research will be clearly disclosed.