From Black-Box Systems to Augmented Decision-Making
Building trustworthy, human-centered AI for the finance function — Anusha Akkina
Despite decades of digital transformation, most finance teams still live in spreadsheets, reconciling data manually, waiting on slow reports, and struggling to get real-time insights. Traditional ERP systems promise control but often create new silos and complexity.
In this episode, we will look at what it takes to modernize finance processes in a world where business moves faster than the tools meant to support it. To explore how AI can augment but not to replace financial decision-making, how to navigate compliance and GDPR while innovating, and what it really takes to build trust when introducing AI into one of the most regulated functions in business.
She’ll cover:
The state of finance transformation
The ERP and systems challenge
AI in finance: augmentation vs. automation
Compliance, trust, and startup execution in a regulated domain
About the Speaker:
Anusha Akkina is the co-founder of Aurelytix, an AI-driven finance platform built to give CFOs and finance teams clarity and speed without adding complexity.A CIMA (UK) alumna, Anusha spent nearly a decade leading corporate finance strategy and transformation programs at Deloitte, Parexel, Survitec, and Chubb, driving ERP implementations and large-scale finance change initiatives.
Frustrated by the data silos and fragmented tools that keep finance teams reactive instead of strategic, she founded Aurelytix to build Insight Pulse, an AI-powered decision layer that spots anomalies, explains variances, and surfaces opportunities, while keeping a human firmly in the loop.Her work centers on augmented finance, combining AI and human expertise to improve decision-making, compliance, and business agility, especially under European data protection and GDPR regulations.
DataTalks.Club is the place to talk about data. Join our slack community!