About
Banks are no longer deciding whether to invest in AI. They are managing growing portfolios of AI initiatives — across many functions, at different stages, competing for capital, governance attention, and executive conviction. What is often missing is a consistent way to weigh those initiatives against one another: to compare a use case's evidenced value against its regulatory exposure, its technical difficulty, and the burden of running it once it is live.
Parallax Intel exists to bring that discipline. Its proprietary four-dimensional framework assesses any banking AI use case on the same terms, turning a portfolio of hard-to-compare initiatives into a structured basis for investment decisions.
Founder
Mahendra Wadhwa is the founder of Parallax Intel. Over roughly fifteen years across major banks in North America and Asia, his work centered on capital allocation and corporate development — evaluating competing investments, structuring transactions, and helping institutions decide where capital should go.
Assessing AI use cases is the same discipline applied to a newer question. An AI portfolio is a set of competing claims on a bank's capital and risk appetite; the framework brings a capital-allocation lens to deciding which of those claims hold up. He holds an MBA from the Rotman School of Management at the University of Toronto, and the practice is based in Toronto.