Software Dev-AI Integrate for Animal Medical Care
Challenge
Ease Pet Vet runs specialist veterinary behavior programs across clinics in the US and Canada. Their website needed an AI chatbot capable of handling two distinct visitor types, pet owners and veterinary hospitals, each requiring a different conversation flow and lead qualification logic. Alongside the chatbot, their internal operations had manual bottlenecks in two areas: customer onboarding and medication support for their behavior specialty service.
Ease Pet Vet runs specialist veterinary behavior programs across clinics in the US and Canada. Their website needed an AI chatbot capable of handling two distinct visitor types, pet owners and veterinary hospitals, each requiring a different conversation flow and lead qualification logic. Alongside the chatbot, their internal operations had manual bottlenecks in two areas: customer onboarding and medication support for their behavior specialty service.
Solution
SDLC Corp built and deployed a dual-audience AI chatbot. The chatbot identifies visitor intent at entry and routes each user through a separate flow, one designed for pet owners seeking behavior support, the other for veterinary hospitals looking to partner with the service. Both flows are built to qualify and capture leads rather than just answer queries.
SDLC Corp built and deployed a dual-audience AI chatbot. The chatbot identifies visitor intent at entry and routes each user through a separate flow, one designed for pet owners seeking behavior support, the other for veterinary hospitals looking to partner with the service. Both flows are built to qualify and capture leads rather than just answer queries.
Results
For internal operations, the team built two AI-driven workflow automations, one covering the customer onboarding sequence and one handling medication support requests, reducing the manual workload on clinical specialists. The initial builds went from scoping to working prototype within the first week of development, followed by a testing and iteration phase before production deployment. The team has continued in an active development and support capacity since launch.
For internal operations, the team built two AI-driven workflow automations, one covering the customer onboarding sequence and one handling medication support requests, reducing the manual workload on clinical specialists. The initial builds went from scoping to working prototype within the first week of development, followed by a testing and iteration phase before production deployment. The team has continued in an active development and support capacity since launch.