I run CyberCore and work directly on every engagement: strategy, architecture and delivery. Teams hire me when they need AI in production, not another proof of concept.
A weekend prototype looks brilliant in the all-hands. Six months later it still isn't live: it hallucinates on edge cases, nobody trusts it with a real customer, and the engineer who built it is back on the roadmap.
That gap is the only thing I work on. I came to AI consulting from years of running a digital and IT services business, which is why I care less about model novelty and more about integration, evaluation, ownership and the monthly reality of keeping a system performing.
Every engagement is scoped individually on a call. You get a written scope and a fixed price before any work begins.
Two weeks, board-ready AI roadmap: prioritised use cases, implementation plan and ROI. For leadership teams that need a defensible decision before they spend.
See the sprint →One workflow, fixed price, 2–4 weeks for most scopes. Scoped on a call with me, evaluated against your real cases, handed over with full IP.
See agent development →Ongoing monitoring, evaluation and improvement of AI systems already in production, with direct access to me rather than a rotating bench.
See AgentOps →Limited senior-advisory engagements for executives and product leaders choosing models, vendors and build-vs-buy paths. Scoped individually.
Discuss advisory →Full detail on the case studies page.
A 30-minute call with me. You'll leave with a clear view of what it would take and a fixed price if it makes sense.
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