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Treasury transformation succeeds or fails on trust, not technology
The organizations getting real value from AI aren’t the ones who moved fastest. They’re the ones who did the harder work first.
ABOUT THIS FEATURE
Treasury modernization promises real-time visibility into cash, liquidity, and risk, but faster data doesn’t automatically mean better decisions. In this piece for Global Banking & Finance Review, Tony Schweiss and Ande Olson argue that the organizations getting real value from treasury transformation are the ones treating accountability and trust as design requirements, not afterthoughts. They walk through what happens when nobody has clearly answered who owns a decision once automation starts making the calls.
WHAT THIS ARTICLE EXPLORES
Why unclear ownership erodes trust faster than bad technology does
What happens when an automated recommendation goes wrong and no one is quite sure who’s accountable for the outcome.
Why governance has to evolve alongside the speed of the technology
How decision rights, escalation paths, and controls need to be defined before new tools go live, not after something breaks.
Why understanding a model’s limits matters more than understanding its math
What it actually takes for leaders to build confidence in tools that operate in probabilities, not guarantees.
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