Operationalizing Services-as-Software™: From AI ambition to enterprise execution

Operationalizing Services-as-Software™: From AI ambition to enterprise execution
Bringing the model to life through a pharma manufacturing use case

Enterprises have invested heavily in AI pilots, copilots, and automation, but turning that experimentation into governed, repeatable execution remains difficult. Services-as-Software™ (SaS) offers a new operating model that combines AI agents, enterprise knowledge, connected workflows, and human oversight to change how work gets done.

For the first time, HFS Research is moving beyond defining the SaS model to examine how organizations can operationalize it. Rohan Kulkarni and Saurabh Gupta will explore what the enabling technology stack could look like, how agents connect with enterprise data and workflows, where governance is required, and when experts must remain in control.

To make the model tangible, they will apply it to pharmaceutical manufacturing quality. Deviation investigations, CAPA development, and batch-record reviews provide a high-stakes use case for showing how software-led execution can accelerate work while maintaining rigorous controls.

Rohan Kulkarni

Saurabh Gupta

What you’ll learn

• What the technology, data, workflow, and governance layers of SaS require
• How to identify processes suited to software-led execution
• How AI agents, governed enterprise intelligence, and experts work together
• How to move from a focused pilot to a governed SaS operating model
• What the model looks like in practice through a pharma manufacturing quality use case

Why attend

Designed for CIOs and technology, AI, operations, transformation, and finance leaders across industries, this webinar will provide a clearer view of the architecture and operating model required to move AI from experimentation into enterprise execution.