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3 Mistakes DSOs Can Make with Front-Office AI (and How to Avoid Them)

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AI is finding its way to all corners of the modern dental practice, powering clinical applications in the operatory and administrative functions at the front desk. It’s no wonder DSOs are abuzz with what’s now and what’s next—and there’s no sign of it quieting down any time soon.  

Through all of the noise—and let’s face it, hype, especially when you consider the rapid influx of AI offerings in the space—you can become overwhelmed. You can make misguided assumptions about what an AI solution can achieve on its own or overestimate its time to ROI. “Easy mistakes” can quickly turn into analysis paralysis, buyer’s remorse, or worse, AI project failure.

When it comes to successfully implementing powerful front-office AI solutions, there are a few mistakes you can avoid by following this advice:

Mistake 1: Choosing a Point Solution Over a Comprehensive Platform

If you are under pressure to solve critical business challenges (or even jump on the AI bandwagon)—and you don’t do your homework—you put yourself at risk of adopting a suboptimal solution.

For instance, in an effort to capture missed calls, you may reach for a simple “call recovery bot,” only to find that it requires more time and effort from your front office staff to manage. What you’ll get is a basic level of automation that doesn’t deeply integrate with your systems and workflows—and ultimately, won’t deliver the value you expect in terms of filling the schedule, increasing revenue, and delighting new patients.  

Be wary that most point solutions overpromise by calling themselves platforms. Despite how they’re marketed, they may ultimately fall short of what your DSO actually needs by way of enterprise readiness, multi-location capabilities, standardization, level of automation, integrations, and analytics. While they seem to address a current trend or pain point, they’re not necessarily capable of tackling the more complex challenges that will inevitably arise as you adopt AI widely across your DSO and as your practices grow. 

A comprehensive platform that’s built to scale across all of your practice locations and that seamlessly adapts to future use cases would be a more solid choice, ultimately leading to a better experience—and better results. These solutions:

  • Deliver unmatched levels of automation across the full range of patient requests and scheduling operations.
  • Offer a unified approach to automating all patient scheduling and communications. 
  • Can be readily connected to new data sources to take on new types of tasks.
  • Provide dashboards with operational insights consolidated across all locations.

How to avoid making a mistake: Do your homework. Fully understanding your pain points and workflows can go a long way to helping you side-step a “quick fix” and select an AI platform with the capabilities you need to truly solve your problems and add value for the long-term.

Mistake 2: Treating AI Like a Tool, Not a Transformation Driver

If you look at AI as just another software purchase, you’ll almost certainly underestimate its potential, which McKinsey likens to be “as transformative as the steam engine was to the 19th-century Industrial Revolution.” In fact, McKinsey goes on to say that “AI now is like the internet many years ago: The risk for business leaders is not thinking too big, but rather too small.”

AI isn’t a “set it and forget it” investment—unless, of course, you choose to set it and forget it. While a comprehensive front-office AI platform is set up to work with minimal, if any, staff intervention, it requires ongoing tuning, support, and configuration as your DSO grows. It’s a living system that needs strategy and oversight to maximize its value to your organization, practices, employees, and patients. 

When your front-office AI is viewed as a transformative, strategic investment—not just a one-off tool—it expands into an enterprise-wide asset that: 

  • Grows more valuable over time through new functionality and use cases.
  • Drives optimization by learning continuously from your DSO’s patient data, unique workflows, and evolving needs.
  • Frees staff from rote administrative burdens so they can focus on higher-value work. 
  • Helps practices rise to consumer expectations for digital, 24/7 service.

How to avoid making a mistake: Think strategically. If you’re committed to its potential, AI can fundamentally change the dynamic of your front office and patient relationships by taking workflows, performance, and service experiences to the next level. 

Mistake 3: Settling for Another Tech Vendor Instead of a Strategic AI Partner

Managing a complex, integrated front-office AI platform is fundamentally different from managing traditional software or staff. You know how to hire, train, and manage people, but mastering AI infrastructure requires a new kind of relationship—one with a true strategic partner, not just a technology vendor.

According to The GenAI Divide: State of AI in Business 2025, top-performing organizations treated AI companies not just as software vendors, but as consultancies or business service providers. A vendor simply delivers a product and lists features; a partner is invested in your multi-year growth and operational outcomes. DSOs taking this approach with their front-office AI platform partners are likely to derive optimal, ongoing value from their investment. 

The pace of AI tech is so rapid, it’s crucial to partner with a provider who can guarantee you’re always using the most effective technology and achieving maximum ROI. When selecting a front-office AI solution, seek a partner that provides full-service engagement. This means expecting strategic guidance to: 

  • Frame AI as a transformative organizational capability, not just an isolated feature. 
  • Help define quantifiable success metrics before launch, and within a pilot phase.
  • Provide comprehensive design, configuration, and training services.
  • Ensure ongoing optimization and support through your AI journey. 

How to avoid making a mistake: Expect more. By holding your AI provider accountable to the same high standards you would a BPO, you ensure your investment delivers optimal, continuous value and truly frees your staff for higher-value, patient-centric work.

Conclusion

The current buzz and rapid influx of front-office AI offerings make it easy for DSOs to stumble into costly mistakes. To ensure success, avoid chasing quick fixes and insist on a comprehensive, scalable platform that addresses your core workflows. Crucially, recognize that AI is not just a tool, but a transformation that requires a strategic approach to unlock its full, enterprise-wide value. By viewing your technology provider as a true strategic partner, you can cut through the marketing noise, mitigate risk, and position your DSO to capture maximum revenue, operational efficiency, and long-term competitive advantage.

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