Track AI investments after deployment. Capture the outcome metrics that prove value, surface emerging risk before it materialises, and evolve governance as AI estates mature. Available as a quarterly assurance cycle, an ongoing retainer, or a point-in-time review.
An ongoing assurance function for AI systems that have already moved into production. Cube8 designs the outcome metric framework, validates the data feeds, runs quarterly assurance cycles, and produces the board-ready evidence that AI investments are delivering the value, risk posture and compliance position the organisation committed to. Available as a retainer for continuous coverage or as a point-in-time review for specific decisions (e.g. renewal, scaling, sunset).
Chief Finance Officers, Programme Directors, AI Programme Leads, Information Governance and Audit leads who need ongoing oversight of deployed AI systems. Particularly relevant where the board has approved AI investments and now expects regular evidence that those investments are paying back. Also relevant under regulatory regimes that require post-deployment monitoring.
Six recurring deliverables. The retainer version produces these quarterly; the point-in-time version produces them once for a specific decision (renewal, scaling, sunset).
Assurance findings feed back into the next planning cycle. After 12–24 months, expect to refresh the strategy.
When assurance findings recommend scaling, the next adoption phase needs the same independent oversight as the first.
Tell us which AI systems are in production, what reporting exists today, and what the board is asking for. We'll respond with retainer or point-in-time options within two working days.
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