Case Study: How AI Is Actually Impacting Dental Support Organizations

Everyone in dentistry is discussing AI, but much of the conversation remains abstract. Topics like chatbots, call summaries, automated messages, front-desk workflows, and general productivity are common.

While these tools have their place, they often overlook the critical question:

• Can AI improve organizational operations?
• Can it identify where performance is faltering?
• Can it detect revenue leaks more quickly than a manager sorting through reports manually?
• Can it integrate marketing, operations, and practice-level performance into a cohesive overview?
• Can it guide a regional manager on what to prioritize next, rather than leaving them to guess?

This represents a significant opportunity, yet it is one that few are addressing.

Root Data was developed alongside Shared Practices Group to tackle these questions within a real multi-location dental support organization that generates millions in monthly revenue.

Once Root Data was integrated into the group's operations, Shared Practices Group achieved consecutive record-breaking revenue months.

It’s important to note that software alone does not drive record performance, and no operator would claim otherwise.

What Root Data accomplished was enhancing the underlying operating system, providing the group with clearer visibility, faster diagnostics, and stronger alignment across teams.

DSOs Do Not Need More Reports. They Need Faster Clarity.

Most DSOs have an abundance of data but are struggling to make sense of it. Practice management data resides in one system, marketing data in another, and call data in a separate system. Finance maintains its own perspective, while regional managers often rely on conversations, spreadsheets, and meetings that others may not attend.

The challenge isn't access to data; it's achieving clarity quickly. When data is fragmented, teams waste time on questions that should have immediate answers.

Which practices are lagging? What’s causing the delay?

Is it a marketing issue, scheduling, show rates, case acceptance, capacity, or collections?

Which locations require immediate attention, and are team members aligned on the same information?

Every hour spent piecing together the data is an hour not spent addressing the issues the data highlights.

A Common DSO Breakdown: Marketing and Operations Operate From Different Realities

Every group faces a leak that isn't due to anyone's performance. Marketing focuses on lead volume, cost per lead, campaign performance, source attribution, and spending efficiency.

Operations tracks appointments booked, new patients seen, show rates, case acceptance, production, collections, and follow-through.

Both teams may meet their individual targets yet still overlook broader business impacts because their metrics are not viewed together.

A campaign might generate inexpensive leads that appear impressive in marketing reports. However, those leads may not book appointments, may book but not show up, may show up but not accept treatment, or may accept treatment that doesn't result in revenue being collected.

Each team reports its own metrics honestly, but the disconnect between them is where revenue quietly slips away.

This is why it’s essential to have the entire process visible in one place:

Source to booked to seen to accepted to produced to collected. Root Data integrates that process into a single operational view, enabling holistic performance assessment.

Marketing can evaluate the quality of patients a source delivers, not just the acquisition cost. Operations can identify the sources of demand and prioritize those worth supporting.

Leadership can pinpoint where the handoff is faltering, enabling a shift in spending toward revenue-generating strategies rather than leads that fall through the cracks.

The divide between marketing and operations represents a costly blind spot in a DSO, and bridging it doesn't require additional spending—just a shared understanding of the effectiveness of current expenditures.

What Root Data Built With Shared Practices Group

Root Data was developed alongside Shared Practices Group as an AI-driven practice operating layer for dental performance.

It integrates practice-level performance data, group-level insights, marketing performance metrics, and the essential operational KPIs that drive a practice, all supported by an intuitive AI interface.

All of this together helped Shared Practices Group spot key revenue leaks they could rally the team to eventually identify, fix, and boost revenue.

At the dental practice level, teams gain visibility into the actual performance of each location. At the group level, leadership can compare performance across the organization using consistent metrics.

At the marketing level, expenditures are evaluated against real outcomes rather than just lead counts. At the AI level, any team member can pose questions in plain language, eliminating the need to manually pull, export, and reconcile reports.

Root Data was not designed to be just another dashboard; it serves as an intelligence layer for dental operations.

From Reporting Dental Analytics to Diagnosis

Dashboards are valuable, but many only focus on reporting. They indicate what occurred but leave the reasons for someone else to investigate when time allows.

A DSO doesn’t just need to know that a practice is falling behind; it needs to understand why, as this insight can change actions taken on Monday.

When a location is underperforming, the reasons could vary:

• New patient volume might have declined
• Scheduled patients could be no-shows
• Case acceptance may have weakened
• Provider capacity might be limited
• A marketing source may have altered quality
• Collections could be lagging behind production
• Follow-up might falter after the initial visit
• Hygiene reappointment rates could be dropping

Each of these factors requires a distinct solution, and addressing the wrong one can waste time.

Root Data helps teams shift from "what happened" to "where is the breakdown," which is the critical question to answer promptly.

The AI layer doesn’t resolve issues on its own; it simply reduces the gap between identifying a problem and taking action.

In a group managing multiple practices, this gap is where most lost revenue occurs.

How DSO Teams Can Ask Better Questions With AI

Instead of waiting for a manual report or comparing spreadsheets from different systems, team members can ask questions directly:

• Which practices are falling behind this month?
• Why is this location underperforming?
• Where are we missing new patient opportunities?
• Which marketing sources are delivering the most value downstream?
• Is this a volume issue, a conversion issue, or a follow-through issue?
• What should this practice focus on next?

The AI layer is valuable not because it functions like a chatbot, but because it leverages real operational data and can analyze it comprehensively.

The AI does not replace operators; it provides them with a quicker path to insights, which is crucial for operators managing multiple locations.

Creating One Shared Operating Language Across the DSO

A DSO achieves growth when its teams align around a common understanding. Marketing, operations, regional managers, clinical teams, and leadership all strive for the same goals, yet they often assess success using different metrics that rarely align in discussions.

Root Data provides the organization with a unified KPI language. Marketing can track whether demand translates into actual patient value.

Operations can identify where patient flow is encountering issues.

Regional managers can evaluate locations based on consistent criteria rather than reputation or instinct. Leadership can pinpoint which practices require attention and understand the reasons before the month concludes.

When everyone operates from a single perspective, the dialogue shifts.

It transitions from debating whose numbers are correct to determining the next steps for improvement. This alignment enables the team to move cohesively rather than in fragments.

The Result: Faster Alignment and Record DSO Performance

After Root Data was integrated into the Shared Practices Group's operational framework, the organization achieved consecutive record-breaking revenue months.

These records stem from the efforts of our leadership, marketing, operations, and clinical teams, with Root Data serving as one of several key inputs.

Its primary contribution was enhancing our operational system: providing clearer visibility, quicker diagnostics, stronger alignment, and a consistent method for identifying priorities.

"For a group our size, the biggest challenge was never accessing data; it was ensuring that marketing and operations shared the same perspective simultaneously. Root Data unified our view, allowing our teams to move forward with decisions rather than debate numbers. This alignment is a significant reason for our recent success." — Austin Davis, Founder, Shared Practices Group

What This Shows About the Future of AI in DSOs

The key takeaway is not that every DSO requires another dashboard, but rather that AI becomes truly impactful when integrated with the business's operational data.

For dental support organizations, the future of AI is not just about automation; it’s about operational intelligence.

When connected to real practice data, AI can enable a group to identify performance gaps sooner, link marketing efforts directly to revenue outcomes, detect issues across locations before they escalate, align teams on shared priorities, transition from data to diagnosis more swiftly, and execute strategies with greater accuracy.

This perspective differs significantly from typical industry discussions and genuinely enhances group performance.

Root Data serves as the AI-powered optimization layer, empowering dental support organizations to understand current performance, pinpoint leakage, and identify optimization opportunities.

If you're a growing DSO struggling to make sense of your data, or want to boost operational efficiency with AI, contact us at:

hello@rootdata.ai

Alternatively, you can reach me on LinkedIn:

https://www.linkedin.com/in/ash-ghaemi/