Original reports and studies
Surveys, interviews, and structured analysis focused on the business and operating consequences of AI and emerging technology.
FutureCentral Research
Evidence and perspectives for decisions at the intersection of AI and industry.
Developing India-relevant research on how organizations adopt AI, redesign work, manage risk, build capability, and turn experimentation into measurable value.
White paper available · Original studies in development
Research that connects the industries
FutureCentral Research is the evidence and decision-intelligence arm of FutureCentral. The programme is being developed to connect original evidence with the specialist perspective of FutureCentral Intelligence. Its focus is how AI changes organizations across industries, and what those changes mean for decisions.
Publication status: Our first white paper is available below. Original studies, indexes and benchmarks remain in development. Future research outputs will be listed with access links, dates and methodology.
Indexes and benchmarks
Planned measures of adoption, readiness, governance, capability and value. Comparisons will depend on defined methods and sufficient evidence.
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.
Available white paper
White papers and strategy perspectives
Strategy perspective · October 2026 · Austin PM · 10-page PDF
What Competitors Cannot Copy
Building AI Advantage Past the Efficiency Gain
If a rival bought the same AI tools tomorrow, what would still stop it from matching your result? Explore the data, workflows, and complementary assets that can make an AI advantage harder to copy.
Based on published sources, with imagined case illustrations. This paper does not present an original survey or benchmark.
Proposed flagship study
India Enterprise AI Adoption and Value Study 2026–27
In development · timing to be confirmed
A proposed 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 study is in development. The 2026–27 label describes the proposed programme period, not a confirmed publication date. Scope, methodology, participation arrangements and release dates will be announced when confirmed. No findings are being presented here.
A cross-industry research agenda
Our proposed agenda 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
Studies should use primary data and structured analysis where appropriate, with sources and evidence limits clearly identified.
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.
Read our Editorial Standards for sourcing, human review, corrections and disclosure of commercial relationships.
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
Commission research around a decision
Organizations can enquire about a focused study, benchmarking exercise or evidence-led executive briefing. Tell us the decision you need to make, your industry, the question to investigate and your preferred timing. Scope, methods, data access, deliverables and fees are agreed before a project starts.
Research partnerships and sponsorship connected to published work will be disclosed. Sponsors do not control editorial conclusions.
Discuss a research projectExpress interest in a future study