Reports
Reports and analysis on the decisions leaders face across industries, with evidence, regulation and practical recommendations.
Digital trust in the age of AI: the 2026 cybersecurity briefing
How AI is changing attack and defence, what breaches now cost, and the regulatory and post-quantum deadlines CISOs and boards face in 2027
Cross-industry · October 2026 · 13 min readAI in financial services 2026: where banks and insurers are seeing returns
Adoption, disclosed results, use cases in production, model risk, regulation and deepfake fraud across banking, payments, insurance and capital markets, and what to prioritise in 2027
Financial services · October 2026 · 14 min readAI and the energy system 2026: demand, grids and operations
How data centres are changing electricity demand, why grid connections are the bottleneck, where utilities use AI, and the cyber and regulatory risks to manage in 2027
Energy and utilities · October 2026 · 8 min readEnterprise AI in 2026: the long road from pilot to production
Adoption, value, spend, data readiness and the revised EU AI Act timetable, and what data and analytics leaders should prioritise in 2027
Cross-industry · October 2026 · 13 min readAI governance in 2026: the rules move, accountability stays
The revised EU AI Act timetable, Colorado's new law, the gap between audit confidence and maturity, and what governance leaders should do in 2027
Cross-industry · October 2026 · 7 min readAI in government and public services 2026: from pilots to accountable use
Where governments use AI, what audit bodies have found, the rules now applying to high-impact public-sector AI, and what public leaders should prioritise in 2027
Government and public sector · October 2026 · 8 min readAI in healthcare and life sciences 2026: from pilots to everyday practice
Clinician adoption, regulated AI devices, ambient documentation, AI-discovered drugs and the regulatory timetable, and what health and life sciences leaders should prioritise in 2027
Healthcare and life sciences · October 2026 · 9 min readCustomer service AI in 2026: more automation, more people
Pressure, spending, automation rates, workforce plans and customer trust, and what service leaders should change in 2027
Cross-industry · August 2026 · 8 min readAI-ready data in 2026: the confidence gap
What data leaders say about readiness, what their own surveys show, and the six fixes that matter most before agents act on enterprise data
Cross-industry · August 2026 · 6 min readNext from InsightX
Priorities, budgets and concerns of senior leaders for the year ahead.
Where AI is paying back in manufacturing operations.
How public bodies are modernising services.
