Independent research and evidence-led analysis on enterprise AI, governance, risk, regulation, adoption and the decisions shaping how organisations use AI in practice.
AI is beginning to change how software vulnerabilities are discovered, analysed and potentially exploited, raising important questions for cyber defence, disclosure and enterprise resilience.
This INTAI research examines what developments such as Project Glasswing could mean as increasingly capable AI systems reshape the balance between finding weaknesses and defending against them.
Read the ResearchResearch into the technologies, risks and organisational decisions shaping enterprise AI.
What changes when AI becomes embedded in the everyday systems, workflows and decisions organisations depend on.
How unapproved tools and embedded AI can widen the gap between actual use and organisational oversight.
Why AI changes when it moves from experimentation into real-world workflows, systems and business decisions.
How permissions, boundaries and escalation need to change when AI systems can plan and take action.
Understanding the models, platforms, providers and dependencies behind modern enterprise AI systems.
Why human involvement alone is not enough, and what meaningful authority and intervention actually require.
INTAI's annual examination of the forces shaping enterprise AI and the decisions organisations need to make as adoption moves deeper into everyday operations.
Some of the most important questions around AI cannot be answered in a single report. They develop as technology changes, organisations learn and new risks, capabilities and operating models emerge.
INTAI Research Series bring together related analysis around defined themes, creating a deeper view of how important issues are evolving and what they mean for leaders making decisions in practice.
Each series connects research across strategy, technology, governance, risk and organisational change, building a clearer picture over time rather than treating each development in isolation.
AI adoption is moving deeper into everyday systems, workflows and decisions. As that happens, the challenge is shifting from whether organisations should use AI to how increasingly embedded AI should be managed.
Our analysis examines the developments shaping enterprise AI, separating signal from noise and focusing on what they mean for organisations, their leaders and the decisions that come next.
Research-led perspectives developed through postgraduate study in artificial intelligence and their implications for organisations, technology and society.
How ideas about intelligence, computation and learning have shaped the development of modern AI.
How machine learning models learn, make predictions and can be evaluated and interpreted in practice.
How fairness, accountability, transparency and human impact translate into the real-world use of AI.
Research creates value when it informs better decisions. Use our assessments to understand where your organisation stands, or speak to us about applying the findings to your strategy, implementation and governance priorities.
Explore further INTAI research, analysis and publications across enterprise AI, governance, regulation, technology and organisational change.
INTAI Research & Reports covers the organisational impact of artificial intelligence across areas including enterprise adoption, governance, risk, regulation, assurance, workforce change, technology and emerging AI developments. The focus is on helping decision-makers understand what is changing, why it matters and what practical action may be required.
INTAI research is written for boards, executives, AI leaders, governance teams, risk and compliance professionals, technology leaders, transformation teams and others responsible for making or influencing important decisions about AI.
Research reports examine a defined topic, trend or organisational issue using structured analysis and evidence. Whitepapers provide deeper guidance on a particular challenge, framework, policy question or area of practice and are typically more focused on interpretation and recommended action.
INTAI Annual Publications are recurring flagship reports designed to track significant developments in areas such as enterprise AI adoption, governance, risk and assurance over time. They provide a longer-term view of how organisational AI priorities and practices are evolving.
Yes. INTAI research considers developments in AI regulation, governance frameworks and recognised standards where they affect how organisations design, deploy, govern and assure AI in practice.
AI news focuses on current events and new developments. INTAI research goes further by examining what those developments mean for organisations, identifying the underlying implications and connecting them to governance, risk, investment, implementation and operational decision-making.
Yes. INTAI's research ecosystem includes university research and academic reviews alongside practical business analysis. This helps connect emerging academic thinking with the decisions, controls and implementation challenges organisations face in practice.
Yes. INTAI research is designed to support better organisational decisions by helping leaders understand emerging issues, compare approaches, identify material risks and opportunities and connect evidence to practical strategy, governance and implementation priorities.
INTAI publishes research, reports, analysis and updates as new evidence, regulatory developments, technologies and organisational issues emerge. Major annual publications are complemented by more frequent research, analysis and commentary throughout the year.
You can explore the latest publications through the INTAI Research section and subscribe to receive new research, regulatory analysis, industry insight and practical guidance as it is published.
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