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Executive Summary

Key Research Findings

55%

The Trade-Off Is Real

55% of leaders describe juggling cost, quality, and scale as a constant tension, and no single setup today delivers all three at once.

84%

Fragmentation Is the Hidden Tax

84% of leaders call integrating HR, payroll, and finance systems and reconciling the data between them a major operational pain.

49%

True Cost Is Underestimated

49% say vendor quotes understated the true cost of implementation and ownership; overruns come from complexity and integration.

80%

AI Must Earn Trust on Unified Data

80% will trust AI with HR, payroll, and finance work only under human oversight, with proven accuracy, auditability, and one trusted source of data underneath.

Chapter 1

HR, Finance, and IT Leaders Are Still Forced to Trade Off Cost, Quality, and Scale

The defining tension in HR, payroll, and finance technology is a trade-off. Most leaders describe juggling cost, quality, and scale in constant tension, because no single setup delivers all three at once; the rest have already picked a lane. Quality is the line they will not cross; cost and scale are what get traded. It is a structural problem, and it is the gap the market is asking someone to close.

Insight 1
Cost, quality, and scale

Quality Is the Line Leaders Will Not Cross

Strategic Implication
Managing the Cost-Quality-Scale Trade-Off
Juggling all three in constant tension55%
Protecting quality, absorbing cost32%
Cost-first and cost-constrained13%
Voice of the Respondent

Leaders Feel the Tension Most When Scale Increases

Chapter 2

Fragmentation Is the Hidden Tax on HR, Payroll, and Finance Systems

Behind the trade-off sits a fragmented systems environment: HR, payroll, and finance run on separate systems that do not connect cleanly. The large majority call the result a major operational pain and the single biggest time sink in these areas, integrating those systems and reconciling the conflicting data between them by hand. Most teams are partially automated but still stitch HR, payroll, and finance together with manual handoffs and spreadsheets.

Insight 2
Disconnected systems

Reconciliation Is the Number One Time Sink

Strategic Implication
Integration and Reconciliation Burden
Integration and reconciliation a major pain84%
Moderate but manageable burden9%
Low burden, already integrated7%
Voice of the Respondent

Manual Handoffs Are Where Time Disappears

Chapter 3

The True Cost of Ownership Is Underestimated, and It Locks Teams In

The cost that hurts is the cost buyers cannot see upfront. Roughly half say vendor quotes understate the true cost of implementation and ownership; overruns are driven by complexity, integration, and configuration, not the sticker price. Vendor-fit gaps surface after purchase, and the caution hardens into lock-in: the large majority describe high switching inertia, staying on systems that no longer fit.

Insight 3
Total cost of ownership

Complexity Drives Overruns, Not Sticker Price

Strategic Implication
Dominant Procurement Experience
Quotes understate true implementation and post-sale cost49%
Vendor-fit gaps surface after purchase30%
Strong upfront scoping and quote discipline21%
Voice of the Respondent

The Bill Changes After the Decision

Chapter 4

Buyers Want AI That Acts, but Only on Unified Data They Can Trust

The appetite is for AI that acts, not just assists: most prefer a hybrid model where AI both surfaces information and takes on work, within bounds. But trust is conditional: human oversight, proven accuracy, auditability, guardrails, and above all a single source of truth. Leaders cannot trust AI built on fragmented data. The prize is not just speed; it is freeing teams from reconciliation for higher-value, strategic work.

Insight 4
AI trust conditions

The Demand Is for AI That Acts, Within Bounds

Strategic Implication
Trusting AI in HR, Payroll, and Finance
Conditional trust, with human oversight80%
Low trust in AI outputs today13%
High trust in AI outputs7%
Voice of the Respondent

Fragmented Data Limits Trust

Chapter 5

Organizations Pulling Ahead Have Consolidated Their Technology, and Carry Far Less of the Tax

A clear pattern separates the leaders: the more HR, payroll, and finance technology come together, the lighter the tax. Organizations consolidated onto one platform call integration a major operational pain far less often than fragmented ones, 75% versus 94%. Few have fully arrived; a single, unified platform remains the exception. The direction is the lesson: the orgs pulling ahead are not doing more, they are running on less, and getting more from it.

Insight 5
Consolidation advantage

Consolidation Lightens the Tax

75%
of consolidated organizations still call integration a major pain, compared with 94% of fragmented ones.
Strategic Implication
Integration Pain by Consolidation Level
Consolidated onto one platform
75%
Spread across many systems
94%
Share calling integration a major pain, by how consolidated their systems are.
Voice of the Respondent

Leading Organizations Run on Fewer Systems

Chapter 6

Strategic Takeaways

The research points to five practical moves for midsize organizations trying to stop choosing between cost, quality, and scale.

Takeaways
What leaders should do next

Consolidate, Demand Cost Clarity, and Trust AI Only on Governed Data

Strategic Implication
Conclusion

Conclusion

The HR, payroll, and finance team at midsize organizations is caught in a trade-off between cost, quality, and scale, and fragmentation is what makes the choice feel unavoidable. The cost of that fragmentation is underestimated when choosing a system and hardens into lock-in over time, while the AI leaders want most is held back by the very data fragmentation they are trying to escape. The way out is consolidation. Organizations that have reached one unified system carry far less of the tax and are readier for AI, because the single source of truth AI needs is already in place. The trade-off between cost, quality, and scale is real, but it is not permanent. The midsize organizations that consolidate onto one unified system with trusted AI built in are the ones breaking out of it.

G2 Research

This report was prepared by G2 AI Custom Research for Workday.

Research Methodology

This research draws on 128 in-depth interviews with HR, finance, payroll, IT, and operations leaders at midsize organizations, defined as businesses with 500 to 1,500 employees, across North America, Europe, and Asia-Pacific.

Respondents owned or significantly influenced HR, payroll, and finance technology decisions. Interviews used a conversational format so leaders could describe their actual systems, costs, and AI attitudes rather than select from preset options.

Findings reflect qualitative responses coded into themes; a single open-ended answer can touch more than one theme. Where a chart shows a distribution, figures are rounded and may be adjusted to total 100%.

G2, Stop Choosing Between Cost, Quality, and Scale, June 2026.

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