Holdent Group

The Challenges

Holdent Group is a multi-location dental clinic with a well-established patient base and years of clinical history. Yet, as often happens in structured healthcare organisations, a significant share of that value goes untapped: appointments never resumed after an initial treatment cycle, accepted estimates never scheduled, follow-ups planned and then forgotten on both sides. The result is what the industry calls "dormant revenue" — real, already-acquired opportunities that dissolve in the noise of daily operations.

The problem was not the quality of care or the patient relationship. It was structural: recall management was handled manually, unsystematically, with an operational load that grew exponentially as the database expanded. Every resource dedicated to recall was a resource taken away from reception and appointment management. The cycle repeated itself without the latent value of the patient history ever being fully activated.

XSolve approached the project with a four-phase methodology, designed to transform a recurring problem into an autonomous value-generation system — in full compliance with privacy regulations and GDPR.

Invisible opportunities in the database

The first step was a structured analysis of the patient history using Claude AI. The goal: identify high-reactivation-potential profiles — patients with open estimates, interrupted treatment cycles, or overdue follow-up intervals. Data was aggregated and anonymised, with the entire analysis conducted in full compliance with privacy and GDPR requirements.

Manual recalls: impossible to scale

Relying on individual phone calls and paper reminders was not sustainable at scale. The Smart Recall system built for Holdent automates the entire contact sequence, with intelligent scheduling that determines the optimal moment for each recall — without adding load to the reception team.

No visibility into the reactivation funnel

Without metrics, every action remained isolated. The Continuous Reporting system monitors every stage of the funnel in real time: how many patients contacted, how many responded, how many converted into appointments. For the first time, the clinic has precise visibility and control over the entire reactivation process.

One-off campaign vs. recurring system

The difference between a recall campaign and a recall system is continuity. The Holdent project was designed to operate autonomously and persistently: not a one-off intervention, but a permanent operational layer that generates recurring value regardless of the team's workload.

Operational flow

1. AI Data Mapping

2. Smart Recall

3. Reporting

4. Recurring Value

The Results

35% Conversion rate on recalls

Full system Active pipeline, end of ad-hoc outreach

0 Privacy compliance violations

The most relevant result is not just the 35% recall conversion rate — a significant figure in a sector where average rates fall well below that threshold. The structural outcome is the shift from a reactive approach to a proactive system: Holdent no longer waits for patients to return spontaneously, but systematically manages every phase of the reactivation cycle. Dormant revenue becomes, for the first time, a controllable variable. The entire process was designed with a privacy-by-design approach: patient data is handled in full compliance with GDPR, with controlled access and complete operational traceability — a non-negotiable requirement in healthcare. The next step is extending the system to additional touchpoints across the patient journey, with the goal of building a continuous engagement ecosystem that accompanies patients from their first visit through long-term follow-up.