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Every offering below is a full briefing — the market moment, the real problem in numbers, a worked business case with investment and payback, the delivery cadence, and how we keep it out of the 95% of AI pilots that fail. Pick a service line to go deep.
Refresh laptops and workstations once — into the AI era — instead of buying the same fleet twice.
A fixed asset that ends the per-token meter — and the data-residency risk.
One breach usually costs more than the entire network upgrade.
Your staff are already using AI. The question is control, not adoption.
Turn the shadow AI your staff already use into a governed, measurable asset.
The 95% fail on strategy, not technology. Buying direction first is the cheapest de-risk.
Only a fraction of staff are properly trained — which is why licences sit idle.
Proven, not experimental: 6–18 month payback and 50–70% cost cuts on target processes.
Bad data is why pilots fail — and it may be costing you 15–25% of revenue.
15% of work decisions go autonomous by 2028 — but 40% of agent projects fail on weak controls.
Data-protection fines are rising — and enterprise clients now block deals without controls.
Unmanaged AI degrades silently; by the time it shows, value has leaked for months.
Speed-to-value and sector fit are what turn mid-market pilots into P&L impact.
Match cost to value, skip the capex committee, and de-risk an unproven bet.
A two-week AI Posture Assessment scores your readiness and hands your leadership a costed, prioritised roadmap — the shortest credible path from where you are to value.
Book an AI Posture Assessment