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The search for effective AI dominates boardroom agendas, with teams in every department, company, and industry tirelessly trying to turn AI’s huge promise into commercial headway. But most companies have yet to unlock AI’s full potential. According to research from BCG, only 60% of companies are reaping any material value from AI, “reporting minimal revenue and cost gains despite substantial investment.” 

What’s the issue? Simply put, AI can’t work for the business if it doesn’t understand the business. Operational blind spots are preventing AI from creating meaningful value. Clearly there’s a missing layer between an enterprise’s data and its AI agents. We refer to this missing layer as operational context. Without it, organizations can’t trust agents to make AI work at scale. 

But there’s a path forward. Download this guide to how you can deliver value from your AI investments.