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Ospia for dental
Tooth-level clinical detail, treatment plans staged across many visits, and a billing model built around packages and plans rather than single episodes.
The problem
What makes this segment different
Every hospital shares most of its operations. What separates a segment is the handful of things it does constantly that a general system treats as an exception.
Challenges we hear
- Findings and treatments are per-tooth and per-surface; free text destroys the data.
- Treatment plans span months and multiple visits, often with partial acceptance.
- Billing follows plans and packages, with instalments and part-payments common.
- Laboratory work — crowns, dentures, aligners — is an external dependency inside the workflow.
How Ospia addresses them
- A structured dental chart with tooth and surface as first-class concepts, fully queryable.
- Treatment plans as staged, versioned entities with acceptance tracked per line.
- Plan-based billing with instalments, advances and part-payments handled natively.
- Laboratory orders tracked as workflow with expected dates and chase built in.
The AI workforce here
Which digital employees do the most work
All twenty-one agents are available. These are the ones that earn their place fastest in this segment — each with a named human it reports to.
Agents that matter most
- Front Office — appointment flow and no-show recall
- Inventory Watch — consumables and laboratory materials
- Revenue Watch — plan-based billing, instalments and outstanding balances
- Insurance Watch — where dental cover applies
What you should see
- Clinical history that is analysable, not narrative
- Higher treatment-plan acceptance through clear staging
- Fewer delays waiting on laboratory work
- Predictable revenue from instalment plans
- Recall and follow-up that actually happens
These are the outcomes we design for and will measure with you — not results we are claiming on someone else's behalf. Where a number matters to your business case, we will model it with your volumes on the demonstration call. See the full workforce →
Workflow
A typical journey, end to end
Each step below is a registered task — invocable from a screen, the command bar, voice, an agent or your own systems.
Every step publishes events other parts of the hospital subscribe to — which is why billing, stock and reporting stay current without anybody re-entering anything. How the task registry works →
Related
Other settings with the same problem
The workflow differs; the handoffs that leak time and money do not.
Eye hospitals
Clinic throughput is the business model, and every workflow second matters at volume.
Multi-speciality hospitals
A patient's journey crosses six departments and four systems, and the handoffs are where time and money leak.
Diagnostic chains
Volume is the model, and every re-keyed result is a margin leak.
All industries
Every setting Ospia is built for, and what changes in each.
Next step
See your hospital running on Ospia
An executive demonstration takes forty-five minutes. We seed a hospital with synthetic data shaped like yours, put the digital workforce on duty, and answer the hard questions with the architecture open.
synthetic data · zero real patients
self-hosted or managed cloud
one database per hospital