Whatever the final shape of OpenAI’s hyperscaler deals, a capital-constrained lab that needs compute from everyone gives enterprise buyers leverage, so price your alternative cloud before your next renewal.
Most AI pilots stall because the proof of concept tested whether a model could do the task, not whether the business could run it every day, so here is how to design a pilot that is built to reach production.
OpenAI and Anthropic both appear to be days from shipping new flagships, so the useful move this week is a ready evaluation harness, not a leaderboard refresh.
Markets just showed they will punish AI spending that can’t show a return, and that pressure will reach every AI budget conversation this quarter.
Automating the bottleneck first is usually right, but only once it is confirmed as the real constraint, its cheap fixes are exhausted, and the work there is rules rather than judgement.
A deeply integrated, Claude-built company reportedly switched frontier providers for a 30%-plus discount, which makes every model contract a renegotiation waiting to happen.
A fractional CTO for AI earns its fee when your business faces AI decisions that are expensive to reverse but lacks the continuous senior technical work to justify a full-time hire.
There is no dedicated Enterprise Ireland AI grant, but several digitalisation and innovation supports can part-fund AI work if you pick the one that matches your company and your project.
What AI automation really costs a Northern Ireland business, which public support is realistic to get, and which workflows to automate first.
Twelve practical questions that separate an AI development partner who can ship a reliable production system from one who can only ship a good demo.
A senior-engineer’s guide to running an AI readiness audit on your software architecture: what to inspect, how to score it, and what to fix first.
Meta’s Muse Spark co-authored six maths papers through a standard chat window, which shifts the hard part of AI work from model access to problem selection and verification.
Practical AI for a mid-sized company means automating the repetitive middle of two or three high-volume workflows, with people approving what matters, not launching a transformation programme.
Software compounds when each thing you build makes the next one cheaper, faster and more accurate, and this guide shows how to design for that from your first workflow.
Consumer and enterprise software, built with taste and shipped fast.
AI agents, automation, and orchestration - production systems, not demos.
Hands-on engineering and strategy for teams shipping AI into production.