0:00 – Introductions

3:14 – What Kept Leaders Up at Night During Scaling
Customer experience, control, cost optimization — and especially operational risk.

4:06 – Operational Risk as the Primary Concern
Production issues, reputational risk, regulated environment challenges, and why even one failed transaction matters.

5:08 – Why JLL Brought in C TWO
Automation Anywhere environment, modern expectations, smaller teams, and using orchestration for control.

6:04 – Tech Excitement vs Operational Reality
How to keep teams grounded when new technologies (Agentic AI, etc.) create hype.

7:00 – The Speed of New Tech Adoption
Historical perspective (ERP → dot-com → now exponential tech waves), and why unmanaged adoption creates risk.

8:36 – Real Example: Stopping an Agentic RPA Rollout
Lack of training, wrong resourcing model, high consulting costs — and why she halted the deployment.

9:55 – Why Build Quality, Reusability & Supportability Matter
You can’t scale if you can’t build it right, support it, reuse components, or manage TCO.

11:10 – Demonstrating Value & Time Savings
How JLL thinks about “time back to business,” savings, and why agent ROI is so hard to quantify.

11:56 – Two Value Models: Functional vs Productivity Use Cases
Functional (high-volume processes) vs generative AI (productivity) and why productivity metrics are difficult.

13:13 – Aggregating Productivity Gains to an FTE Equivalent
How JLL looks at team-level capacity creation instead of individual time savings.

13:49 – Moving Toward a Total Cost of Ownership View
Platform-level TCO across Automation Anywhere, Mendix, Alteryx, etc.

14:24 – How JLL Will Justify C TWO
License optimization + digital worker manager capacity reduction.

15:14 – Leadership Metrics That Resonate
Cost optimization, capacity creation, and linking automation to revenue growth potential.

18:43 – Focus on Risk Reduction & SLA Performance
Reducing incidents, improving turnaround times, protecting clients.

19:08 – What Excited Her Most About C TWO Today
Data visibility, narrative value, and orchestration transparency.

20:24 – Phase 1: Implementing C TWO for RPA
Starting with Automation Anywhere.

20:31 – The UDA (User-Defined Application) Problem
Hundreds of Python/VBA/Alteryx apps scattered across the business with high operational risk.

20:56 – C TWO on Python
Why the ability to orchestrate & govern Python apps is a “game changer” for JLL.