Agenda
PAWorld26 San Francisco · 23–24 September 2026 · San Francisco
Sessions
Sessions are released in waves as speakers and timings are confirmed.
09:00 – 09:05
Welcome to PAWorld San Francisco 2026
Two days focused on better business decisions through workforce intelligence
09:05 – 09:35
Workforce Intelligence as a Business Decision System
Moving People Analytics from reporting function to decision infrastructure
09:35 – 10:05
Designing Work for Human-AI Systems
From organising people to redesigning how work gets done
10:05 – 10:35
So you say your AI is having an impact? Prove it.
What to collect, what to connect and why the work belongs with People Analytics
10:35 – 10:45
One Model Keynote Q&A and Transition
Testing what counts as credible evidence of AI impact
10:45 – 11:30
Networking Break
11:10 – 11:20
Demo Slot
11:30 – 12:10
Before the Agent: Build the Foundation AI Can Trust
How one Adobe business question becomes governed, reusable workforce data
11:30 – 12:10
Where Should We Double Down?
Building an evidence-led framework for global workforce location decisions
12:20 – 13:00
Worklytics Sponsor Case - Title TBC
A 15-minute case plus five-minute Q&A, subject to speaker and case confirmation
12:20 – 13:00
Building a Workforce Intelligence Foundation HR Can Trust
Moving from traditional job architecture to market-calibrated intelligence about work
13:00 – 14:00
Lunch Break
14:00 – 14:40
When People Analytics Starts Shipping AI Products
How role-specific skills and shared assistants change what the function owns
14:00 – 14:40
Before You Hire: Build, Buy, Borrow or Automate?
Testing the workforce choice before another requisition is approved
14:00 – 14:40
AI-Native Operating Models: What Can Transfer?
A peer discussion on enterprise-ready AI work practices
14:50 – 15:30
When Hiring Isn't Enough, Redesign the Work
Using task-level workforce intelligence to decide what people and technology should do
14:50 – 15:30
What Workforce Measurement Got Right - and Wrong
A fireside with Jac Fitz-Enz on five decades of metrics, decisions and what the field should stop doing
15:40 – 15:59
Demo Slot
16:00 – 16:40
Engineering Productivity Is a System, Not a Metric
What cycle time can't tell you about meetings, focus time, collaboration and workforce context
16:00 – 16:40
Buying the Software Is Not Buying the Outcome
What People Analytics buyers must own after the build-versus-buy decision
16:00 – 16:40
Data Foundations for AI-Enabled Workforce Decisions
16:50 – 17:30
From AI Access to Work Redesign
How learning, team experimentation and role-specific AI become changed work
16:50 – 17:30
When the Business Changes but the Workforce Model Doesn't
Redesigning roles and workforce presence around market opportunity, regulation and adoption
16:50 – 17:30
California ADS: Governing Workforce AI in Practice
Evidence, ownership and safe adoption for automated decision systems
17:30 – 18:30