MyLifeCare: integration of a conversational health agent based on Agentforce

Context 

Amid growing interest in workplace preventive healthcare solutions, MyLifeCare is aiming to accelerate its development while maintaining the quality of its support services. The goal: to provide each user with greater autonomy and access to their health monitoring, with reliable answers at scale.

To enhance its offering and service quality, the start-up turned to its long-standing partner, Levana by SQLI, to design an intelligent conversational agent integrated into its mobile application. Based on Agentforce, this health agent – named SKY – provides each user with continuous, personalised interaction, entirely independently.

Challenges

The project developed for MyLifeCare addressed several strategic objectives:

• 24/7 Availability: Providing health support accessible around the clock.
• Advanced Personalisation: Delivering tailored responses based on each user's specific medical data.
• Medical Reliability: Ensuring scientific validity of the content and recommendations provided.
• Seamless Integration: Fully leveraging the Salesforce ecosystem to centralise user data and interactions.
• Data Security: Guaranteeing the security of health data and AI-driven communications.

Our role

MyLifeCare naturally turned to Levana by SQLI—already behind its mobile solution—to design and deploy an intelligent conversational agent based on Agentforce technology, fully integrated into the Salesforce environment.

We carried out the following steps:

• Functional Requirements Analysis: Discussions with the founder to identify functional expectations and assess the possibilities offered by Salesforce.
• Agent Design: Creation of an assistant capable of displaying personal information from medical assessments and responding to general health questions using a knowledge base validated by MyLifeCare.
• Flow Implementation: Use of Flows and Action Builders to allow the agent to access relevant data based on user requests.
• Training Phase: Simulation of use cases to fine-tune the agent’s behaviour and validate the quality of its responses.

Results 

Within just two months, the intelligent conversational agent Sky was designed, integrated into the Salesforce environment, and trained. It was then launched in a beta-testing phase, receiving highly positive feedback on the relevance and quality of its responses.

Relying on a dual knowledge base—medically validated content from the work of Dr Christophe de Jaeger and users’ personal health data—Sky is able to handle complex requests, such as: “What meal do you recommend to boost my energy, based on my profile?” or “How can I live a long and healthy life?”

The intelligent conversational agent thus offers a unique user experience: smooth, reliable, and context-aware, while also serving as a complement to the coaching teams.