AI Is Like Electricity

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Yesterday at 12:03pm UTC

Originally Posted On: https://rootdata.ai/blog/is-like-electricity

AI Is Like Electricity: What That Means for Dental Practices and DSOs

People understood that the technology mattered. What was less clear was where to start, how to connect it to their operations, and what would make it useful to the people running their practices.

At the DSO Technology Summit in Nashville, I kept hearing variations of the same question: How do we actually use AI inside our organization?

People understood that the technology mattered. What was less clear was where to start, how to connect it to their operations, and what would make it useful to the people running their practices.

I think electricity offers a useful way to understand that opportunity.

The Infrastructure Is Only the Beginning

In the late 1800s, Thomas Edison backed direct current, while George Westinghouse championed alternating current using Nikola Tesla’s technology. Their competition became known as the War of the Currents. Alternating current gained an advantage because it could transmit power economically over longer distances.

That was a battle over how electricity would be delivered. The larger transformation came from everything people built once they had access to it.

Electricity powered lighting, machinery, refrigeration, and communications. Eventually, it powered computers and the infrastructure that makes AI possible today. Its value kept expanding as people found new ways to use it.

That is the parallel I see with AI in dentistry.

A dental practice might begin by using AI to answer a question about production or identify a scheduling problem. A DSO might use it to compare performance across offices.

Those are useful starting points. Once AI connects to relevant data and becomes part of daily work, it can support a broader range of decisions.

Connected Data Gives Dental Teams a Shared Foundation

Think about a large office building.

Electricity supplies a common foundation for lighting, air conditioning, elevators, computers, and equipment. Each serves a different purpose, but all depend on the same underlying infrastructure.

Inside a DSO, connected data can provide a similar foundation.

Operations, treatment coordination, marketing, and leadership need different answers. Their decisions often depend on information from the same practices.

An operations leader wants to know which offices need attention. A treatment coordinator wants to understand where patients are leaving with unanswered questions or unscheduled care. A marketing leader wants to connect patient acquisition with business results.

The opportunity is to make that information easier to access, interpret, and act on.

That is where dental analytics becomes part of the operating foundation of a practice.

The same information can support several teams, provided each can use it to answer questions relevant to its work.

Dental Analytics Software Should Shorten the Path to a Decision

Many reporting tools leave substantial work to the user.

They display the numbers, then expect someone to determine what matters, investigate the problem, and decide what to do next.

A dashboard is valuable, but a practice manager still needs answers.

Why did production decline? Are cancellations increasing? Are patients leaving without scheduling recommended treatment? Where should the team focus this week?

AI can help people work through those questions and explore possible explanations.

The team still needs to verify the findings and bring its knowledge of the practice to the decision. But the distance between spotting a problem and investigating it can become much shorter.

For dental practice management, that matters. An office manager who spends less time assembling reports has more time to support the team, follow up on unresolved issues, and improve the patient experience.

The practical value of dental analytics software is the decision it helps someone make and the action that follows.

How Shared Practices Group Uses That Foundation

That is the direction we are taking with Root Data.

We built Root alongside Shared Practices Group, a rapidly growing 50-practice DSO focused on full-arch dental implants, and deployed it across its network.

Leadership uses it to monitor performance. Sales and operations teams use it to support accountability. Custom integrations help marketing examine patient attribution and how acquisition spending connects to results.

Those departments have different responsibilities. The value comes from giving them a shared view of performance and information relevant to their work.

The Shared Practices Group case study shows how that translates into an operating process.

During recurring reviews, operations leaders identify practices that need attention and investigate related metrics. Collections per new patient provides a starting signal. Measures such as True Close Rate, same-day starts, callback starts, and Average Revenue per Start help the team examine what may be driving performance.

The analysis gives leadership a more focused conversation to have with the practice.

That is the electricity analogy in practical terms: a common foundation supporting different applications across the organization.

DSO Analytics Should Reflect the Organization’s Priorities

For another dental group, the starting point may be different.

One organization may need better visibility into scheduling. Another may need stronger reporting across its treatment consultation process. Another may struggle to connect marketing data with practice outcomes.

DSO analytics should help leadership investigate those priorities across locations.

A group average may hide a problem at an individual office. A strong-performing practice may have a process other teams could learn from. A change in attendance may explain why increased patient demand has not translated into completed care.

The useful questions depend on the organization.

That is why adding AI begins with understanding how people work and which decisions are difficult, slow, or poorly informed.

Start With a Recurring Decision

The first step is to identify a decision that takes too much time or relies on incomplete information.

It might be deciding which practices a regional manager should review first. It might be determining whether an office needs more patient demand or better follow-up with the patients already booking.

Connect the necessary data, make sure the team understands the measures, and put the analysis into an actual operating process.

Practice management software integrations provide part of that foundation. Marketing and other operational connections can add context where needed.

Then measure whether the new process helps.

Did the team reach an answer faster? Did someone act on it? Did the action improve attendance, treatment scheduling, collections, or workload?

Those questions establish the business case for expanding the application.

A successful starting point gives the organization something concrete to build on.

Better Dental Software Gives People More Time to Act

The employment question deserves the same practical approach.

Electricity changed existing work and enabled new industries and occupations. AI will also change tasks and roles, but its effect will depend on how organizations choose to deploy it.

My focus is helping teams spend less time assembling information and more time improving the business.

That means supporting practices, coaching employees, addressing problems, and serving patients.

A regional manager’s experience becomes more useful when they can apply it to the right problem sooner. A practice manager benefits when decision-making information is easier to find and understand.

This is central to our approach to dental software: reducing the work between practice data and a useful next step.

The people running the organization still bring judgment, relationships, and accountability. Better tools give them more capacity to use those strengths.

From Connected Analytics to the Self-Operating Dental Practice

Once teams can identify what needs attention, the next opportunity is helping the work move forward.

A patient needs follow-up. An exception needs to reach the right person. A recurring report needs preparing. Information needs to move between systems.

Root Data’s vision for the self-operating dental practice builds on that progression.

Connected systems can handle more routine coordination in the background, while people focus on patient relationships, clinical judgment, and situations that require their attention.

That vision develops through practical applications. Each workflow needs a clear purpose, appropriate oversight, and a way to measure whether it helps.

As those applications prove their value, the underlying foundation becomes more useful across the organization.

Make the Business Case Through Useful Applications

The electricity analogy helps you think about possibility. The business case still has to be earned through results.

For dental practices and DSOs, that starts with a clear problem and a team equipped to act on what it learns.

Build the connection between information and decisions. Test it in daily work. Expand where the results justify it.

If you want to explore how Root Data could support your practices or DSO, contact hello@rootdata.ai to discuss your operational priorities.