Insights Topic
Published INVISOM articles connected to ai strategy.
6 articles
All insightsEnterprise AIFramework
An annual AI plan that names models, vendors and unit prices is out of date before its first quarterly review. Commit to the capabilities that last, hold the fast-moving choices as options, and write down what would make you change course.
Cloud and PlatformsExecutive Guide
Most enterprises do not need to chase GPUs or the best model across clouds. They need to run AI where their governed data already lives, decide deliberately how much residency they will pay for, and keep the exit cheap.
Enterprise AIOperating Model
Every enterprise has the same argument about whether AI should be centralized or spread across the business. The better question is which decisions should be made where, and how that should change as the organization matures.
Enterprise AIExecutive Guide
Most organizations no longer have an adoption problem. They have a conversion problem: pilots that prove a model works, but never prove the business changed.
Enterprise AIFramework
Most AI value claims are not wrong so much as unproven. The fix is to design the measurement before the build: a baseline, a credible comparison group and metrics finance has already agreed to accept.
Enterprise AIFramework
Most AI portfolios are built from brainstormed ideas ranked on a value-feasibility grid. Better portfolios start from the work itself, and from one question most grids never ask: how cheaply can the output be checked?