Peerlogic
Dental & Veterinary · Practice Communications SaaS
AI communication intelligence inside a live practice platform
Peerlogic is an established communication-intelligence platform serving dental and veterinary practices. Datics helped bring AI deeper into the workflows practices already use—connecting call intelligence, engagement and booking capability to the practice-management systems and production controls already surrounding the product.
The starting point
Peerlogic already operated inside the daily communication workflows of dental and veterinary practices, carrying call data, practice context and integrations with multiple practice-management systems.
What had to change
Missed calls and incomplete follow-up represented lost opportunities. AI needed to help practices understand those conversations and move the next action forward inside Peerlogic itself.
What couldn't break
Practices already depended on the product and its integration layer. New capability had to respect existing permissions, healthcare-data boundaries and the differences between practice-management systems.
Why this was hard
The AI could not stop at understanding a conversation. It needed enough context, integration access and workflow control to turn communication intelligence into a useful action without disrupting the live product.
What Datics changed
Datics worked on the AI and integration layer behind Peerlogic's communication workflows—connecting call context to follow-up and booking capability while operating through the product's existing permission and practice-management integration model.
Call intelligence
Identify conversations and missed opportunities that require follow-up.
AI engagement
Use communication context to guide the next interaction.
Booking workflows
Move from conversation understanding into scheduling actions.
Practice-system integration
Operate through the product's existing integration surface rather than creating a separate workflow.
Platform in action
Call Intelligence
Where conversations are captured, understood and surfaced to the practice.
AI Engagement
Where communication context drives the next interaction with the patient.
Practice Integrations
Where the product connects to the practice-management systems behind it.
What changed
In the documented example, previously missed communication opportunities were converted into recovered appointments and revenue through workflows inside the product practices already used.
- Appointments recovered
- 311 across six locations in a documented example
- Recovered revenue
- $100K+ associated with previously missed opportunities in the documented example
- Product rebuild
- None. Capability shipped through the existing product and integration layer
Under the hood
- Datics role
- AI product engineering, agent/workflow design, integration engineering and production delivery.
- Integrations
- Multiple dental and veterinary practice-management systems.
- Deployment
- Customer-controlled Google Cloud environment.
- Production boundary
- HIPAA-aligned, inside the product's existing permission model.
Technology
What this unlocked
The context, integration and permission layer built around communication workflows provides a reusable foundation for additional AI capabilities inside the same product.
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