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Enterprise AI at PwC

Three programmes where I helped move AI and automation from a promising idea into everyday operations.

2023–25Enterprise AIaiengineering
An operations floor at night with workstations and a wall display of amber data traces

The organisations I worked with wanted better customer service, but they also had legacy systems, careful release processes, and many teams that had to move together.

As a manager at PwC, I worked between business, product, engineering, and operations teams. My job was to help people make sound decisions and carry them through delivery.

Conversational AIAutomated testingContact-centre architectureRelease governanceAdoption and value metrics
  • I helped deliver a GenAI conversational programme in a 2M+ user environment.
  • I designed an automated approach to IVR and chatbot testing so teams could release with more confidence.
  • I worked on the redesign of a utilities contact-centre architecture to support more demand.
  • I kept product, architecture, operations, and client teams aligned when decisions became difficult.
  • 30% improvement in service efficiency.
  • 50% reduction in release cycles.
  • 40% increase in contact-centre capacity.

I include this work because enterprise AI succeeds or fails through people, adoption, controls, and delivery—not through the model alone.

How would you like to reach me?

You will reach me directly. There is no form, inbox team, or mailing list.

WhatsApp+34 663 462 250Emailsarfarazsingh@student.ie.eduLinkedInSee my profile