Parul Gupta

The AI Impact Assessment (AIIA) for "Agentic" Workflows

Parul Gupta

Lead Business Analyst

Algoworks

About the Presentation

Traditionally, AI adoption was measured by efficiency (How much time do we save?). The redefined AIIA measures agency (How much more can we achieve?).

Instead of viewing AI as a replacement for human tasks, this assessment treats AI as a new class of digital stakeholder. We are not just assessing a software update; we are assessing a structural evolution of the workforce.

Key Takeaways:

  • Learn how to create a measurable Agentic AI Impact Scorecard to track metrics, such as % of decisions handled by AI, decision turnaround time, new workflows enabled, and risk/error rates.
  • Understand how to define AI agents as accountable participants in workflows, with clear decision rights, escalation rules, and human accountability.
  • Learn how to track and accelerate the shift of work to higher-value activities, e.g. execution vs coordination vs value creation, time reinvestment

About Parul Gupta

Parul Gupta is a Lead Business Analyst and a dedicated advocate for ethical digital transformation across Southeast Asia. With a career rooted in driving AI strategy and multi-agent orchestration, she specializes in building “AI Superagencies”—ecosystems where human intuition and machine intelligence collaborate to solve complex business problems. As a Responsible AI Associate at the Responsible AI Trust, Parul’s work focuses on bridging the “Trust Gap” between rapid technological advancement and the fundamental human need for transparency and accountability.

A published author for Salesforce Ben and the International Association of Project Managers (IAPM), Parul has reached over 6,000 readers with her insights on stakeholder influence and AI maturity. She is a international speaker, having addressed AI governance gaps at IIT Delhi, IIEX Bangkok, and is an invited speaker for the 2026 True North Dreamin event in Toronto. Beyond her strategic roles, Parul is a creative writer and poet.

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