At most service businesses, data isn’t the problem—interpretation is. Owners and managers sit on mountains of operational, financial, and field data, yet still struggle to answer the question that matters most: what should we do next?

At its 2026 Beyond Service Customer Conference, WorkWave introduced what it believes is the missing link. The company announced Wavelytics™ Decision Intelligence, a new AI-powered hub designed to move service organizations beyond dashboards and reports—and into prescriptive, role-specific guidance baked directly into daily workflows.

Rather than treating analytics as a separate destination, Decision Intelligence is embedded inside WorkWave’s core industry platforms, reframing reporting as a navigation system for running a service business.

From Reporting to Decision-Making

Traditional business intelligence tools excel at showing historical performance. Decision Intelligence is meant to do more. Built as part of the Wavelytics ecosystem, the new hub continuously ingests data from operations, finance, and the field through the Wavelytics Data Factory, a unified data layer that cleans, normalizes, and standardizes information across systems.

That foundation enables something service operators have long lacked: context-aware, prescriptive insight.

Instead of simply flagging a revenue dip, the system surfaces potential causes and recommended actions—whether that’s coaching a technician, rebalancing territories, or accelerating follow-up on aging leads. The result is a shift from reactive management to guided execution.

Kevin Kemmerer, CEO of WorkWave, framed the problem succinctly: “Service business owners are often drowning in data but starving for insights. They don’t need another report to read; they need to know what to do next.”

Built for the Realities of Service Industries

Unlike horizontal analytics platforms, Wavelytics Decision Intelligence is tailored specifically for service verticals such as pest control, lawn care, cleaning, and security. That industry focus shows up in both the metrics and the workflows the system supports.

The platform is embedded across WorkWave’s industry-specific solutions, including PestPac®, RealGreen®, and TEAM Software®, ensuring that insights align with how each business actually operates.

More importantly, the intelligence is persona-driven. Owners, CEOs, dispatchers, CFOs, and branch managers each see dashboards, insights, and recommendations relevant to their responsibilities—reducing noise and speeding decision-making.

A Modular Intelligence Framework

Decision Intelligence is structured around four core components, each answering a different operational question.

Dashboards: The “What” and “Where”
High-level dashboards provide visibility into macro trends such as sales pipeline health, revenue retention, and operational efficiency. Rather than forcing users to stitch together multiple reports, the system organizes complex data into a unified intelligence hub.

Scorecards: The “Who”
Scorecards drill down to individual performance, highlighting metrics such as salesperson close rates, technician productivity, or chemical usage. This granular view helps managers identify both top performers and areas that need attention.

Alerts: The “Now”
Real-time alerts act as proactive nudges. Whether it’s a spike in callbacks, aging leads, or a sudden drop in conversion rates, managers are notified when immediate intervention could prevent revenue loss or customer dissatisfaction.

Ask WAIve: The Orchestrator
Perhaps the most ambitious element is Ask WAIve, a natural language interface that functions as a unified intelligence layer. Users can query the system conversationally, generate reports, surface insights, and even direct specialized agents to recommend next steps—all without leaving the data environment.

Together, these components aim to close the gap between insight and action—a persistent challenge in service management software.

Hybrid Workforce, Practical AI

WorkWave positions Decision Intelligence as the “context-aware engine” of the Hybrid Workforce, blending human expertise with AI-driven guidance. The emphasis is notably pragmatic. This isn’t AI for experimentation’s sake; it’s AI embedded in daily decisions that affect revenue, efficiency, and customer satisfaction.

That approach reflects a broader trend in enterprise software. As AI matures, value is shifting away from standalone tools toward embedded intelligence that operates quietly inside existing systems.

In this case, the intelligence doesn’t replace managers—it augments them, highlighting opportunities and risks that might otherwise be missed in the noise of daily operations.

Competitive Context

The service management software market is crowded, but analytics remains uneven. Many platforms still rely on static reports or generic BI integrations that require interpretation and expertise to be useful.

WorkWave’s bet is that vertical-specific, prescriptive intelligence will be a differentiator—especially for mid-sized service businesses that don’t have dedicated data teams. By tying insights directly to operational levers like technician performance, territories, and lead management, Decision Intelligence positions itself as operational guidance rather than abstract analytics.

If successful, it could raise expectations across the category, pushing competitors to move beyond dashboards toward decision-centric design.

Availability and What’s Next

Wavelytics Decision Intelligence is expected to roll out to Wavelytics users in Q2 2026, subject to change. WorkWave is demonstrating the platform live this week at the Beyond Service Customer Conference in Dallas, giving customers a first look at how prescriptive analytics fits into real workflows.

For service businesses under pressure to grow margins, retain talent, and deliver consistent customer experiences, the timing is notable. As labor challenges persist and costs rise, knowing what to do next—not just what happened—may be the difference between scaling and stagnation.

Why This Matters

Decision Intelligence reflects a meaningful evolution in service software. Reporting tells the past. Intelligence guides the future.

By embedding prescriptive insights directly into industry-specific platforms, WorkWave is signaling that analytics should no longer live on the sidelines. For service leaders, the promise is clear: fewer dashboards, fewer guesses, and more confident decisions—made in the moment, not after the fact.

Whether Decision Intelligence becomes a standard feature of service operations will depend on adoption and outcomes. But the direction is unmistakable. In the next phase of service management, insight alone won’t be enough—actionability will be the real metric.

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