Quick take on the latest Workday release:

Some of the most impactful changes aren’t the flashy ones.

In this episode of Planning Pulse (part of the Workday Reimagined podcast), we break down the Workday 2026 R1 release—focusing on the features teams are already starting to use right away.

What we cover:

• More control over who sees what in your models
• A 10x increase in predictive forecasting scale
• New planning hubs that simplify how users navigate the system
• Early moves into AI-driven planning agents

It’s a good reminder: small changes, when done right, can completely shift how planning teams operate.

If you're working in Workday Adaptive Planning, or thinking about how AI and automation are shaping the future of finance, this episode is worth your time.

🎧 Listen, learn, and stay ahead of what’s next in planning.

What happens when Workday stops being just a system of record, and becomes a system of insight?

In this episode of Workday Intelligence, we explore how Workday’s open platform is changing the way organizations think about data. By blending Workday data with external sources, leaders can move beyond siloed reporting and start seeing the full picture.

We also dive into how AI and agentic capabilities are making analytics more accessible, turning complex data into something leaders can interact with, not just interpret.

Featuring Brandon Britton, Qian Wu, and Kiley Cashion.

Life sciences companies eventually reach the moment when planning shifts from R&D burn to revenue generation.

In this episode of Planning Pulse, Matt Harvison and Thomas Trammel explore how biotech and pharma organizations can model revenue in Workday Adaptive Planning, from subscriptions and licensing to unit-based product sales.

They walk through practical forecasting models that connect revenue planning to the income statement, balance sheet, and cash flow, helping organizations protect cash runway while scaling toward commercialization.

This episode also marks the final release of Planning Pulse as a standalone podcast. Going forward, the segment will continue inside the expanded Workday Reimagined podcast.

Welcome to the inaugural episode of Workday Reimagined- The Monthly Brief

Hosted by Justin Williams (President & CRO, Accorio and former Workday VP), alongside Matt Harvison (Adaptive Planning), Brandon Britton (AI & Analytics), JB (Go-To-Market Strategy), and Eric Lachlan (Post-Production & AMS), this episode sets the stage for what’s ahead.

What we cover:
• Who this podcast is for — customers, partners, Workday admins, executives
• The dramatic shift toward AI and analytics in the Workday ecosystem
• What’s changed in customer expectations
• Why implementation alone isn’t enough
• The importance of transparency, realism, and raising standards
• What to expect from segments like Planning Pulse, Workday Intelligence, and In The Trenches

Workday isn’t just an HCM and Financials platform anymore — it’s positioning itself as an AI platform. That shift brings opportunity… and confusion.

This series is about cutting through the noise.

In Part 2 of our Life Sciences mini-series, Matt Harvison and Thomas Trammel shift focus from clinical trial cash burn to program and product-level cost forecasting.

They discuss how biotech organizations can model:

• Manufacturing costs by product

• Labor by shift and role

• Facility and overhead allocations

• Cost per unit trends

• What-if scenarios across headcount and volume

Learn how Workday Adaptive Planning enables life sciences teams to start simple and scale their forecasting sophistication over time, gaining visibility into margins before revenue even begins.

Clinical trial forecasting isn’t just a finance exercise, it’s a runway survival strategy.

In Episode 1 of our Life Sciences mini-series, Matt Harvison and Tom Trammel explore how Workday Adaptive Planning helps biotech and pre-revenue pharma teams plan clinical trials by phase, track burn rate, apply probability weighting, and run what-if scenarios when timelines shift.

In Episode 3 of our ML Forecasting mini-series, Matt Harvison and guest Thomas Trammel explore demand-based workforce forecasting in Workday Adaptive Planning. Building on operating expense and attrition forecasting from earlier episodes, this conversation focuses on staffing models driven by demand signals like foot traffic, lever sheets, and confidence metrics, helping teams establish a baseline and plan smarter for variable workforce needs.

In this episode, we apply ML Forecasting to workforce planning, focusing on attrition forecasting. Building on Episode 1’s discussion of non-labor expense forecasting, we explore how machine learning helps organizations anticipate workforce changes, reduce uncertainty, and unlock new planning capabilities inside Workday Adaptive Planning.