Where agentic workflows actually earn their keep in a real QA pipeline — and the two places they quietly fail.
The four control surfaces to set up before an agent touches production: scope, evaluation, failure cataloguing, human-in-the-loop.
Patterns for flaky-test triage, regression pruning, and visual-diff arbitration with receipts from three production systems.
A reference architecture you can take back to Monday’s sprint planning, plus the metrics that prove it’s working.
VP & Global Head of Engg.
Dharani is a senior engineering leader and Head of SAP Business Data Cloud,
Analytics & AI at SAP, with over two decades of experience driving innovation in enterprise software. She brings deep expertise across data platforms, advanced analytics, and AI, with a distinguished track record of building scalable, secure, and intelligent products that deliver business impact across industries. Known for combining strong technical vision with people-centric leadership, Dharani is passionate about building resilient, high-performing teams and shaping the future of enterprise technology through AI-driven innovation.
She has served as IT Co-Chair for ASSOCHAM South India and as a NASSCOM Guru for Analytics & Big Data at NASSCOM. Her contributions to technology leadership have earned her recognition among Asia’s Top 50 Women Leaders, along with the SAP Grand Champion for Leadership and several other industry accolades.
Dharani is a strong advocate for the next generation of enterprise AI, agentic systems, and modern data platforms, while championing inclusive engineering cultures that enable innovation at scale.
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