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Amir Hossein Yazdavar
Head of Artificial Intelligence
March 5, 2025
5 min read
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Beyond Benchmarking: High-Fidelity Simulations for Dental AI Agent Evaluation

Recent advancements in large language models (LLMs) have unlocked new possibilities in dental healthcare, enabling applications like information synthesis and administrative support, such as handling appointment requests and answering patient inquiries. As conversational AI agents become increasingly prevalent, ensuring their reliability and consistency is crucial for delivering seamless and trustworthy user experiences. Traditional evaluation methods are often very labor-intensive, focusing solely on final outcomes and neglecting the step-by-step processes of agentic systems. Instead of benchmarking models merely on clinical data processing or test answering, there is a need to model LLM agents in high-fidelity clinical simulations and assess their impact on workflows. To address this, Peerlogic has developed benchmarks that extend beyond traditional, narrowly scoped NLP assessments with predetermined inputs and ground truths. By leveraging agent-based modeling (ABM), we create simulated environments to effectively evaluate LLM agents

Elevating Our 2025 Event Strategy

Agent-based modeling (ABM) is a computational framework that simulates the actions and interactions of autonomous agents to gain insights into system-level behavior and outcomes. Applying ABM to LLM evaluation allows for the following:

  • High-Fidelity Simulations

Crafting realistic clinical scenarios where agents interact dynamically, mirroring real-world complexities.

  • Workflow Impact Assessment

Evaluating how LLM agents influence clinical workflows, including task completion and decision-making processes

  • Comprehensive Metrics

Assessing chat quality criteria, engagement levels, user frustration, function generation, parameter extraction, and routing capabilities.

Challenges in Testing Conversational Agents

Testing agents is often tedious and repetitive, requiring human validation of response semantics. The dynamic nature of agent interactions presents challenges:

  • Semantic Validation

Ensuring responses are contextually appropriate and semantically accurate.

  • Dynamic Conversations

Managing unpredictable multi-turn dialogues.

  • Automation Integration

Incorporating testing into existing CI/CD pipelines without disrupting workflows.

Peerlogic's Evaluation Framework

To overcome these challenges, Peerlogic's evaluation framework offers:

  • Simulator for Environment Creation

The simulator creates a high-fidelity clinical environment where simulated patients, each with a unique persona, interact within practices configured to match their offered procedures. This approach provides a dynamic and realistic evaluation landscape, contextualizing the environment to reflect real-world dental workflows.

  • Quantitative Analysis of Tool Calling and Parameter Extraction

We quantitatively analyze the agent's ability to call appropriate tools and accurately extract necessary parameters, ensuring the agent performs tasks correctly.

  • LLM as Judge for Automated Evaluation

We automate the evaluation process by leveraging LLMs as judges. The LLM acts as an evaluator, validating the agent's responses and actions and producing results for automatic tests without manual intervention.

  • Concurrent Multi-Turn Conversation Orchestration

Simulating multiple dialogues simultaneously to assess agent performance under varied conditions.

  • CI/CD Pipeline Integration

Automating agent testing within continuous integration and delivery processes to streamline development.

  • Detailed Performance Summaries

Generating comprehensive reports, including conversation histories, test pass rates, and reasoning for pass/fail outcomes.

Quantitative Analysis and Automated Evaluation

Our framework quantitatively assesses vital aspects of agent performance:

  • Tool Calling Efficiency

Evaluating how effectively the agent selects and invokes appropriate tools during interactions.

  • Parameter Extraction Accuracy

Measuring the agent's precision in extracting necessary parameters from conversations.

  • Automated Validation with LLM as Judge

Employing an LLM to automatically validate the agent's responses within the simulation environment, reducing the need for human oversight.

Conclusion

By employing agent-based modeling to evaluate LLM-based conversational agents in dental healthcare, we gain nuanced insights into their capabilities and limitations. Peerlogic overcomes traditional, labor-intensive evaluation methods by quantitatively analyzing tool usage and parameter extraction and automating the process using LLMs as judges—enhancing assessments and contributing to improved patient outcomes by ensuring AI agents operate effectively and safely within dental workflows.

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January 27, 2026
2 min read
The Million-Minute Reality Check: Escaping the 'Visibility Gap' in 2026
Jaclyn Freedman
Head of Marketing
Read More

Stop guessing at your practice’s performance. To define the new standards for 2026, we didn't just look at a few offices—we went deep. By polling over 3,000 practices and analyzing BILLIONS of hours of call data, we’ve uncovered the hidden "Visibility Gap" that is quietly draining revenue from even the busiest offices.

For many dental practice leaders, 2025 was a year of "recalibration." The data tells a nuanced story: while consumer dental spending actually jumped by 13%, dentist confidence in the overall economy took a meaningful dip. The uncertainty wasn't just a feeling; it showed up in tighter decision-making and a heightened focus on protecting what was already working.

As we move into 2026, the theme has shifted from survival to intention. The performance gap in modern dentistry is no longer about how hard your team works or how much "effort" they put in; it is entirely driven by the operating systems you have in place. The practices that succeed this year will be those that move from assumptions to standards—transforming visibility gaps into measurable insights.

Below is a summary of the forces shaping the industry this year. To see the full benchmarks and learn how to close your own visibility gap, you can access the full 2026 State of Dental Best Practices Guide here.

1. Stability is the New Growth

In previous years, the "best" practices were the ones growing the fastest. Today, the most confident practices are those optimizing for predictability and control. Stability has become a "moat"—a competitive advantage that prevents staff burnout and ensures no patient falls through the cracks.

2. The Technology Adoption Curve

We’ve moved past adopting technology just because it’s trendy. In 2026, practices are sequencing their tech investments based on where they feel the most risk.

  • Predictive Dentistry: Tools that surface clinical risks early are building patient trust.
  • Front Office Automation: Unified call and text workflows are being adopted to protect revenue

3. AI: Let it Finish the Job

AI is no longer a futuristic concept; 35% of dentists are now using AI tools. However, the data reveals a surprising trend: AI performs best when humans stay out of the way of routine tasks.

When AI agents are given "ownership" of the first mile of communication—answering a question and booking the appointment—resolution rates can exceed 75%. When teams intervene too early in these automated loops, performance actually drops by 30%.

4. Closing the "Visibility Gap"

There is a massive difference between feeling informed and being informed. While most practices report high confidence in their front office, only 36% actually review performance data weekly. To win in 2026, you must replace assumptions with validation.

5. The "e-Patient" and Demand-Based Hours

The modern patient expects your office to operate like a high-end consumer business. Call volume doesn't follow a neat 9-to-5 schedule; peaks typically hit around 3:00 PM, right when your team is at their highest operational load. The most successful practices are shifting their "coverage" to follow this demand using AI and digital channels.

Success in 2026 belongs to the practices that move from visibility gaps to measurable insights. As Ryan Miller, CEO of Peerlogic, puts it: "If 2025 was a year of recalibration, 2026 is a year of intention."

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January 28, 2026
2 min read
Finding the Leaks: How Call Metrics Reveal Hidden Revenue Gaps Across Locations
Paul Chadwick
Enterprise Account Executive
Read More

For dental service organizations, 38% of revenue comes from the phone. New patient acquisition, case acceptance, hygiene utilization, and reactivation all begin with a conversation.

Yet for many DSOs, call performance is still evaluated at a surface level or not evaluated at all. Leaders may see total call volume by location, but lack clarity into which conversations actually convert into booked appointments and revenue.

Comparing call performance across multiple dental locations is essential for understanding where revenue is generated, where it is lost, and where operational improvements will have the greatest impact.

Why Call Performance Matters at the Enterprise Level

For multi-location dental organizations, small inefficiencies scale quickly.

A missed call or poorly handled inquiry at one location may feel insignificant. Across ten, fifty, or one hundred locations, those same issues can represent millions in unrealized revenue annually.

Call performance directly influences:

  • New patient acquisition
  • Chair utilization
  • Hygiene reappointment rates
  • Marketing ROI
  • Front office staffing efficiency

Without a consistent way to evaluate call performance across locations, leadership teams are forced to rely on incomplete indicators such as production totals, marketing spend, or subjective call sentiment.

The Challenge: Inconsistent Data Across Locations

One of the biggest barriers to comparing call performance is inconsistency.

Different locations may:

  • Handle calls differently
  • Use different scripts or workflows
  • Track outcomes manually or not at all
  • Rely on anecdotal feedback rather than data

As a result, leaders struggle to answer critical questions, including:

  • Which locations convert the highest percentage of inbound calls?
  • Where are missed calls impacting revenue the most?
  • How does call handling affect marketing conversion by region?
  • Which operational changes actually improve booking rates?
  • How are my marketing efforts performing? 

Without standardized data, performance comparisons are unreliable.

Key Metrics DSOs Should Use to Compare Call Performance

To evaluate call performance across multiple dental locations, DSOs need to focus on metrics that tie conversations directly to revenue outcomes.

Key metrics include:

  1. Inbound Call Volume by Location
  • This establishes demand and highlights variability across regions or campaigns.
  1. Answered vs. Missed Calls
  • Missed calls represent high-intent patients who were unable to connect. This metric is critical for identifying revenue leakage.
  1. Call-to-Appointment Conversion Rate
  • This measures how effectively locations turn conversations into booked appointments.
  1. After-Hours Call Capture
  • Calls outside business hours often go untracked, despite strong booking intent.
  1. Marketing Source Attribution
  • Understanding which campaigns drive calls that convert allows DSOs to invest more confidently in growth channels.

When these metrics are viewed consistently across locations, performance gaps become clear.

What High-Performing Groups Do Differently

High-revenue groups do not treat call data as a front-office issue. They treat it as a lever for enterprise growth.

High-performing organizations:

  • Standardize call performance reporting across all locations
  • Identify top-performing offices and replicate best practices
  • Detect underperforming locations early
  • Align marketing spend with positive conversion metrics
  • Support front office teams with Agentic AI that can scale and be configured to each office and doctors preference (no missed calls, consistent AI call handling, and more)

This approach shifts call performance from reactive troubleshooting to proactive revenue optimization.

Turning Insights Into Action

Comparing call performance is only valuable if it leads to operational change.

When leadership teams have clear visibility into call handling and conversion trends, they can:

  • 'Adjust staffing models based on real demand
  • Improve scheduling workflows
  • Refine marketing investments
  • Set performance benchmarks across the organization

From Data to Action: Scaling with Evidence

The most successful DSOs have moved past the era of "assumptions." Inbound calls are your most controllable revenue driver, but you cannot manage what you do not measure. By establishing visibility first, leadership can finally compare performance across the enterprise and identify exactly where revenue is leaking.

The Strategic Foundation: Metrics First

Before you can automate, you must audit. Standardized metrics allow you to:

  • Identify the Gaps: Pinpoint which locations are losing demand and why.
  • Maximize Utilization: Turn every marketing dollar into a booked chair.
  • Benchmark Performance: Set a group-wide standard for patient experience.

The Next Step: Bridging the Gap with Agentic AI

Visibility exposes the problem, but Agentic AI solves it. Once you have a clear view of your metrics, you can strategically augment your operations to:

  • Capture Every Missed Opportunity: AI handles missed calls and after-hours demand instantly, ensuring no lead goes cold.
  • Standardize Call Handling: Drive consistency across 10 or 100 locations without adding headcount.
  • Proactive Growth: Use AI to bridge the gap between "identifying a leak" and "closing the sale."

The bottom line: Data provides the map; Agentic AI provides the engine. Together, they turn fragmented communication into a scalable, predictable revenue machine.

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January 29, 2026
2 min read
How to Scale a Dental Practice Without Losing Control of Patient Communication
Josh Wagner
Chief Revenue Officer
Read More

Scaling a dental practice is exciting. It is also where many practices start to lose control of the very systems that made them successful in the first place.

As practices expand beyond a single location, patient communication becomes harder to manage. Call volume increases. Messages spread across systems. Front office teams operate differently at each location. Leadership loses visibility into what is actually happening day to day.

For practice owners and executive teams, the challenge is not growth itself. The challenge is scaling without losing control of patient communication.

Why Patient Communication Is the First System to Break When Scaling

Most dental practices scale by adding locations, providers, and staff. What they often do not scale at the same pace is communication infrastructure.

As a result, leaders face issues like:

  • Missed calls during peak hours

  • Inconsistent patient experiences across locations

  • No clear way to measure call handling or follow-up

  • Limited insight into which locations are converting conversations into appointments

  • Reactive problem solving instead of proactive management

These challenges compound quickly once a practice moves beyond one location. What felt manageable at one office becomes operational drag at two or three.

Patient communication is no longer a front desk issue. It becomes a leadership issue.

The Hidden Cost of Poor Communication at Scale

When patient communication is fragmented, revenue loss is rarely obvious at first.

It shows up quietly as:

  • Empty chair time despite strong marketing demand

  • Patients who never call back after being put on hold

  • Inconsistent scheduling performance across locations

  • Teams feeling overwhelmed rather than supported

Without visibility, leadership often assumes the issue is staffing or marketing. In reality, it is a lack of centralized communication insight.

Scaling without control leads to guesswork. Guesswork leads to missed opportunities.

What Control Actually Looks Like in a Scaling Dental Practice

Control does not mean micromanagement. It means visibility.

High-growth dental practices maintain control by ensuring leadership can see and understand patient communication across every location.

This includes:

  • A unified view of calls, texts, and patient conversations

  • Clear performance metrics tied to real outcomes

  • Consistent communication standards across offices

  • Insight into where breakdowns are happening before they impact revenue

When patient communication data lives in silos, this level of clarity is impossible.

Why Centralization Is Critical Before Opening the Next Location

Many practices wait until communication issues become painful before addressing them. By then, the problem is harder to unwind.

The most successful practices centralize patient communication before scaling further.

Centralization allows leaders to:

  • Compare performance across locations using the same benchmarks

  • Identify coaching opportunities based on real conversations

  • Ensure coverage during high-volume periods

  • Maintain a consistent patient experience as volume grows

This approach supports growth without adding unnecessary complexity.

Scaling Without Sacrificing the Patient Experience

One of the biggest fears when scaling is losing the personal touch that patients value.

Centralized communication does not remove personalization. It protects it.

When systems are aligned:

  • Teams respond faster

  • Patients feel heard and supported

  • Offices are not overwhelmed by call volume

  • Leadership can support teams instead of reacting to problems

The patient experience improves because communication becomes intentional, not reactive.

Building a Communication Strategy That Scales

Scaling a dental practice successfully requires treating patient communication as infrastructure, not an afterthought.

Before expanding to additional locations, leadership should be able to answer:

  • How many patient calls are we missing today

  • Which locations convert conversations into appointments most effectively

  • Where do patients drop off in the communication process

  • How do we support teams as volume increases

If those answers are unclear, growth will magnify the problem.

Scaling With Confidence

Growth should create opportunity, not chaos.

Dental practices that scale without losing control of patient communication do so by investing in visibility, consistency, and centralized insight. They replace assumptions with data and reaction with strategy.

Patient communication is where growth either compounds or breaks down.

Getting it right early makes scaling simpler, more predictable, and more profitable.

Aimee
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