Accelerator Use Case
Expanding access to mental health care with AI-powered WhatsApp engagement
Type:
Health tech start-up
Program:
Turn.io Accelerator
Focus:
Mental health
Location:
Mexico
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Reaching 150K+ employees while doubling sign-ups and improving stress detection
Cuéntame built and launched an AI-supported WhatsApp onboarding and engagement flow to expand access to mental health care for operational workers across Latin America. Already serving more than 150,000 employees across 40-plus companies.
Its corporate mental health model combines clinical care, educational resources, and data to demonstrate return on investment. The company reports over 50 % reduction in voluntary turnover among client organisations.
Work through the Accelerator focused on closing the access gap for workers who do not use email, computers, or traditional HR platforms. Cuéntame redesigned onboarding so the entire entry experience starts on WhatsApp, the channel most operational workers already use.
Its corporate mental health model combines clinical care, educational resources, and data to demonstrate return on investment. The company reports over 50 % reduction in voluntary turnover among client organisations.
Work through the Accelerator focused on closing the access gap for workers who do not use email, computers, or traditional HR platforms. Cuéntame redesigned onboarding so the entire entry experience starts on WhatsApp, the channel most operational workers already use.
Impact
150K+
Employees
2x
Sign-ups
100%
Assessment completion
Demo:
Watch Cuéntame in action
From the first message, the assistant guides users through sign-up, measures stress levels using simple, informal language, and delivers initial personalised recommendations.
AI-powered flows route users to the right level of care, including therapy, educational resources, or higher-risk support where needed.
Adaptive questioning improves stress detection over time and enables more accurate matching to psychologists and services.
Early pilots show strong performance. Sign-up completion rates have doubled. Stress index assessment completion reached 100%.
The team has already implemented onboarding, stress screening, first recommendations, and follow-up flows. Next phase development includes full therapy booking and payment management through chat, crisis management tools, and earlier stress risk detection with proactive recommendations.
Adaptive questioning improves stress detection over time and enables more accurate matching to psychologists and services.
Early pilots show strong performance. Sign-up completion rates have doubled. Stress index assessment completion reached 100%.
The team has already implemented onboarding, stress screening, first recommendations, and follow-up flows. Next phase development includes full therapy booking and payment management through chat, crisis management tools, and earlier stress risk detection with proactive recommendations.
LLM Models
used
Chat GPT 4.1 Mini
AI
Built through the Chat for Impact
Accelerator
Accelerator
This project was developed through the Chat for Impact Accelerator, a global programme supporting organisations to design, test, and scale impactful conversational services on WhatsApp.
Through the programme, teams work closely with product and technical experts to prototype, launch, and iterate on AI-powered chat solutions that expand access to health, education, and essential services for communities around the world.
Through the programme, teams work closely with product and technical experts to prototype, launch, and iterate on AI-powered chat solutions that expand access to health, education, and essential services for communities around the world.
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solutions on WhatsApp?
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