Google Dialogflow
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
A Germany-based healthcare solutions provider, known for its multilingual patient services, engaged Oodles to design a conversational interface for clinical support. The client needed a German-language chatbot capable of handling repeated deployments across various partners. The platform delivered a scalable, intent-driven chatbot solution tailored for medical use cases.
Scope Of Work
The client sought Oodles to automate patient interaction flows across different communication channels while maintaining consistency and compliance. The engagement covered chatbot flow design, multilingual NLP integration, third-party API connections, and platform-agnostic deployments. The goal was to reduce operational friction and ensure reuse across similar client bases.
Our Solution
To address the client’s multilingual engagement needs, Oodles implemented a robust chatbot using Google Dialogflow, optimized for the German healthcare ecosystem.
Key Features and Implementations:
- Intent-Based Flow Design: Mapped healthcare workflows into structured intent-response models for faster triage and inquiry resolution.
- Language Localization: Incorporated German NLP models with fallback support for edge cases to ensure accurate interpretation of symptoms and requests.
- Multichannel Integration: Deployed the chatbot across WhatsApp, Telegram, Facebook Messenger, and web platforms for wide accessibility.
- Reusable Architecture: Created a modular setup enabling fast onboarding of new clients with minimal configuration changes.
- Documentation and Training Assets: Delivered flow diagrams, response templates, and demo scripts to support quick training and handover.
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