Standard Berkeley Limited: Empowering Strategic AI Adoption

Artificial intelligence is now embedded in business plans across sectors, but many organizations struggle to turn pilots into profit.  In fact, a recent McKinsey survey found over three-quarters of companies use AI in at least one function , yet Boston Consulting Group reports only about 26% of firms have the capabilities to move beyond proof-of-concept and capture real value .  This “AI adoption gap” shows the risks of unstructured rollouts: Gartner data even suggests 87% of AI projects run 2–3× longer than planned . Standard Berkeley Limited’s AI Consultancy service helps close this gap.  We start with a rigorous AI Readiness Assessment and deliver tailored integration roadmaps, governance frameworks, and training programs so that AI initiatives are strategic, accountable, and results-driven.

Assessing AI Readiness

Before any AI code is written, Standard Berkeley evaluates an organization’s current state.  Our AI Readiness Assessment reviews data quality and infrastructure, business processes, and workforce skills.  By benchmarking AI maturity, we identify gaps and align projects with key goals.  Industry research underscores this step: only about one-quarter of firms have built the organizational, data and technical capabilities needed for AI value .  Without a clear plan, AI initiatives flounder.  In practice many efforts take far longer than expected, one study found nearly 9 in 10 AI implementations exceed their timelines .  Standard Berkeley’s assessment preempts these problems.  We help clients define concrete use cases and success metrics upfront, and we map out needed upgrades (to data pipelines, cloud infrastructure, etc.).  The result is a prioritized roadmap that ties AI projects to measurable outcomes, rather than leaving them as disconnected experiments.