Most enterprise AI pilots stall the moment they leave the sandbox and meet a real transactional system. Pricing is one of the sharpest examples: it is high-frequency, financially binding, and threaded through every stage of the Order-to-Cash lifecycle, which makes it an unforgiving place to deploy autonomous decisioning. This session walks through a production architecture that embeds LLM and ML-driven pricing agents directly into a live enterprise system, and what it actually took to make that safe, fast, and auditable. The architecture is organized into four layers — Interaction, Application, Extension, and Integration — with a centralized pricing engine at the core that computes base pricing, discounts, surcharges, tax, and net value in real time. Sitting alongside it is a consistency layer that continuously validates agent-driven and rules-driven outputs against each other, closing the gap between automated decisions and financial truth at every handoff from order to invoice. I'll cover how real-time pricing APIs and ML-based models were integrated with the core system without destabilizing it, using clean core extensibility so agentic components could be upgraded independently of the underlying platform. I'll also share production outcomes: multi-million-dollar savings from replacing legacy pricing tools with model-driven decisioning, measurable gains in response time and scalability under high-volume load, and how dynamic, model-informed tax adjustments held up across multi-country regulatory frameworks. Attendees will leave with a concrete blueprint for introducing agentic and ML-based decisioning into financially sensitive, high-volume enterprise systems — including where autonomy earns its place, where validation layers are non-negotiable, and how to scale without breaking upgrade safety.
Ayyagari Sirisha is a seasoned SAP ABAP Technical Lead with 19 years of experience delivering enterprise-grade solutions across SAP S/4HANA, SAP ECC, and SAP CRM platforms. Based in Morrisville, North Carolina, she currently serves at IBM Corporation, where she leads technical delivery for IBM's global transformation program, Blue Harmony, supporting enterprise processes including Opportunity-to-Order, Order-to-Cash, and Finance. Sirisha specializes in SAP Sales & Pricing, Order-to-Cash (OTC) processes, and billing optimization, with deep expertise in ABAP OO, BAdIs, enhancement frameworks, OData services, and Adobe Forms. She has a strong track record of resolving high-severity production incidents, architecting scalable pricing automation solutions, and driving clean, core-aligned modernization strategies across complex global environments. Over her career, Sirisha has led technical delivery across large-scale SAP programs supporting diverse global clients. She is known for her ability to bridge business requirements and technical execution, collaborating with global stakeholders, mentoring development teams, and enforcing quality governance through SAP Solution Manager. Sirisha holds multiple SAP certifications, including SAP S/4HANA Cloud Private Edition Sales, ABAP Cloud Back-End Development, ABAP for SAP HANA 2.0, and Pricing in SAP S/4HANA Sales. Her contributions have earned her IBM's Blue Thanks Award, the Blue Harmony Deep Dedication Medal, and multiple special recognitions from leadership and clients. She holds a Bachelor of Technology in Electrical & Electronics Engineering from Jawaharlal Nehru Technological University, Hyderabad, India.
