How to measure AI transformation success beyond ROI
Licences and logins say little about whether artificial intelligence is changing how your company works, and ROI takes much longer to answer. This guide sets out AI transformation success metrics for every layer of the change, from adoption to measurable business value, with real-world data from our own AI transformation at Future Processing.
Why does AI ROI stay stuck at the use-case level?
Home Blog Why does AI ROI stay stuck at the use-case level? AI/ML Why does AI ROI stay stuck at the use-case level? “We bought everyone a licence and told them to get on with it.” That’s the answer I hear most often when I ask other companies how strategically they’re approaching enterprise AI transformation. […]
The enterprise AI transformation guide
Home Blog The enterprise AI transformation guide AI/ML The enterprise AI transformation guide “We bought everyone a licence and told them to get on with it.” That’s the answer I hear most often when I ask other companies how strategically they’re approaching enterprise AI transformation. I understand it, because we started in the same place. […]
FinOps for AI: Extending cloud cost discipline to tokens
AI spend is scaling faster than the controls built to govern it. Here’s how to extend FinOps to tokens, AI agents and SaaS-bundled AI, and tie consumption to business value.
How could AI help reduce costs in your business?
Most AI business cases start with what the technology costs. The better question is how much of your existing cost base it can delete, and in insurance, media, banking and energy the answer is already measurable.
AI insurance claims processing: where does AI genuinely work?
AI already runs across insurance claims, from FNOL and document handling to fraud detection and settlement. The harder question is where it actually pays off. A practical look at the use cases with real evidence behind them, the ones that consistently underperform, and how to tell them apart.
How to simplify products, use AI wisely and protect creativity?
Media teams are under pressure to do more with less without flattening what makes their products distinctive. Jessica Crouch Perry (Condé Nast), Jonathan Jones (ITV) and Paul Wright discuss legacy technology, where AI belongs in the operating model, and why simplification beats adding another tool.
Top AI Consulting companies trusted worldwide
Gartner predicted that at least 30% of generative AI projects would be abandoned after proof of concept, and named the four causes: poor data quality, inadequate risk controls, escalating costs and unclear business value. None of those four is a modelling problem, but rather consulting and engineering problems.
Cybersecurity in IT: AI, Regulation and the Human Factor
Cybersecurity in IT has moved beyond perimeter defense and compliance checklists. In the latest episode of FutureTalks by IT Insights, Justyna Szymańska-Laskowska speaks with Kathrina Meisl, Managing Director at secunet International GmbH and Global Head of Customer & Strategic Projects at secunet Security Networks AG, about the forces reshaping cybersecurity and what they mean for both business leaders and technical teams. Kathrina works at the intersection of security, digital infrastructure and large-scale public-sector innovation, including homeland security and automated border control.