video series

Your Guide to Business Orchestration and Automation

How to move from AI pilots to enterprise scale

Six practical steps toward AI results your business can rely on

Work doesn’t transform overnight. It evolves as enterprises decide which work should remain predictable, where AI can support more complex work, and how to keep processes reliable as more people, systems, and technologies become involved. This is where a system of action for the modern enterprise comes in.

Across six episodes, "Your Guide to Business Orchestration and Automation" series follows that journey in sequence: why pilots stall, when deterministic automation is the right foundation, where agents add value, how orchestration brings the process together, and how testing, security, and governance make it dependable in production.

Practical demos will be shared throughout the series to bring these ideas to life and show how they apply to real business processes.

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Episode 1: The AI Pilot Trap

Live date: August 6

Moderator: Evanna Kearins, CMO International & SVP Global Demand Generation, UiPath

Guest: Feiran Hao, VP of Pricing and Product Strategy, UiPath

Promising AI pilots often lose momentum once the initial excitement fades. This episode examines the Month 3 problem, the gap between personal productivity and measurable enterprise value, and the early decisions around use cases, ownership, integration, and operating model that give pilots a credible path into production.

Your Guide to Business Orchestration and Automation - Episode 2: Automate What’s Predictable

Episode 2: Automate What’s Predictable

Live date: August 13

Moderator: Evanna Kearins, CMO International & SVP Global Demand Generation, UiPath

Guest: Kuber Sharma, Senior Director of Platform Product Marketing, UiPath

Where certainty still wins: which work should run the same way every time, when deterministic execution is the more efficient choice, and how coding agents are making automation faster and easier to build and maintain.

Your Guide to Business Orchestration and Automation - Episode 3: Use Agents Where Work Gets Complex

Episode 3: Use Agents Where Work Gets Complex

Live date: August 20

Moderator: Evanna Kearins, CMO International & SVP Global Demand Generation, UiPath

Guest: Judy Lee, Product Marketing Manager, UiPath

Throughout this episode we will discuss the business case for agents: turning messy documents, ambiguous decisions, and exception-heavy work into dependable action, with evidence behind the answer and clear limits on what AI can decide.

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Episode 4: Orchestrating Agents, Robots, and People

Live date: August 27

Moderator: Evanna Kearins, CMO International & SVP Global Demand Generation, UiPath

Guests:

  • Arun Mehta, Senior VP of Product Management, UiPath

  • Mounish Kothapally, Principal Product Manager, UiPath

Once the right capabilities are in place, orchestration brings them together into one accountable business process that can move across systems, teams, approvals, and exceptions without losing visibility or control.

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Episode 5: Build Confidence Before You Scale

Live date: September 3

Moderator: Evanna Kearins, CMO International & SVP Global Demand Generation, UiPath

Guest: Colleen Bensen, Product Marketing Manager for Agentic Testing, UiPath

You can't scale automation, AI agents, or software delivery with confidence without continuously testing the software and workflows they depend on. That's the dark testing factory: a self-improving quality system that runs 24/7, guided by humans, so you always know what's ready to release.

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Episode 6: Scale with Trust, Security, and Governance

Live date: September 10

Moderator: Evanna Kearins, CMO International & SVP Global Demand Generation, UiPath

Guests:

  • Scott Roberts, CISO, UiPath

  • Rajiv Dattani, Co-founder of AIUC

  • Sheron Chakalakal, Head of Governance, Risk and Compliance, UiPath

The series finale focuses on scaling business orchestration and automation with trust: secure platform governance across every actor and action, plus independent proof that AI agents can be trusted in production.

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