01 / AI & BUSINESS VALUEAI use cases: Start with business value.
Successful AI programs do not begin with models or vendors. They begin with recurring business problems. Which workflows could benefit from better decisions, higher quality or shorter cycle times?
An effective use-case portfolio balances financial value with data readiness, integration effort, risk and organizational capacity. That creates a logical sequence of initiatives: feasible to test, meaningful to the business and scalable when proven.
Explore our AI advisory ↗IT cost benchmarking: Look beyond the numbers.
A cost figure alone is not a management insight. CIOs need to distinguish spending that supports the business model from spending caused by legacy structures—and identify genuine optimization opportunities.
Useful benchmarking looks beyond budget totals. It accounts for service scope, quality, complexity, sourcing models and technical debt. The outcome should be a better basis for decisions, not an arbitrary cost-cutting target.
Explore IT consulting ↗IT operating models: Make strategy executable.
Even the strongest IT strategy achieves little without clear decisions, ownership and ways of working. A target operating model translates strategic priorities into organizational structures, governance and everyday delivery.
Strong operating models are designed around services and value streams, not only reporting lines. They clarify interfaces and accountability while giving teams enough autonomy to execute reliably.
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