Thoughts

PwC surveyed 4,454 chief executives across 95 countries and territories between 30 September and 10 November 2025. Only 12 per cent said AI had delivered both cost and revenue benefits over the previous year. A further 33 per cent reported gains in one or the other, and the remaining 56 per cent reported no significant […]

Cisco surveyed 2,511 chief executives across 23 countries in January 2026 and found that 91 per cent had become more optimistic about AI over the previous twelve months. In the same body of research, only 13 per cent of organisations were judged able to run AI safely, reliably and at scale. (Cisco AI Readiness Index) […]

Quick Answer: An AI maturity model is a staged framework that rates how deeply and effectively an organisation uses AI, scored across dimensions such as strategy, data, governance, skills and measured value. Most published models use four or five stages, running from informal experimentation through to AI reshaping the operating model itself. The stage you […]

Quick Answer: An AI scorecard is a score, usually out of 100 or expressed as a letter grade, that shows how mature an organisation’s AI use actually is, measured across dimensions like strategy, adoption, and governance. Unlike a one-off audit, a proper AI scorecard is tracked continuously, with a trend line and a benchmark against […]

Quick Answer: AI agents for business are software systems that plan, decide, and complete multi-step work with minimal supervision, not just respond to a single prompt. Companies use them across sales, finance, HR, and operations to handle repeatable tasks such as triage, reporting, and data entry, freeing people for higher-value decisions. AI agents for business […]

Agentic AI is artificial intelligence that pursues a goal through a loop of its own actions, rather than simply answering a single prompt. Instead of waiting for step-by-step instructions, it plans, acts, checks the result, and adjusts, working through a task the way a person would, until the goal is met. If you have found […]

Quick answer: Generative AI creates content when you prompt it (text, images, code, drafts). Agentic AI plans and completes multi-step tasks on its own once given a goal, without a fresh prompt for every step. In short, generative AI produces outputs, agentic AI takes action, and most agentic systems use generative AI as one working […]

Quick Answer: An AI agent is software that can take a goal, work out the steps needed to reach it, carry out those steps on its own, and adjust if something changes along the way. Unlike a chatbot that only responds when asked or automation that follows fixed rules, an agent acts, handling multi step […]