EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise
Abbas Raza Ali, Muhammad Ajmal Siddiqui, Moona Zahid · arXiv · 18 Sept 2026 · not peer-reviewed
01 · The key finding
The paper proposes testing the model, data access, retrieval, tools, safeguards and human oversight together. A bank pilot illustrates the approach in concrete workflows.
Test the whole AI working system
02 · The study
03 · What we take from it
Test the combination intended for deployment. A good model result alone does not approve the whole workflow.
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Sources
Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise
Arian Abbasi, Alan Aqrawi, Ted Kwartler · arXiv · 24 Sept 2026 · not peer-reviewed
Five Ways That AI Front-Runners Change How Work Gets Done
Sagar Goel, Julie Bedard, Matthew Kropp, Ashley Sim et al. · Boston Consulting Group · 24 Sept 2026 · not peer-reviewed