How the health & wellness sector balances AI efficiency and human empathy

Health and wellness brands are increasingly embracing artificial intelligence to sharpen communication strategies, from personalised customer engagement to predictive insights. Yet, as AI adoption accelerates, industry leaders are treading cautiously to ensure messaging retains its human touch and aligns with the sector’s ethical expectations.

Marketers point out that AI-driven chatbots, virtual assistants and content-generation tools are enabling more tailored outreach, particularly in nutrition, fitness and preventive healthcare segments.

“Most wellness brands are turning to tools like ChatGPT for conversational scripts, Midjourney for calming visual content, and platforms like Jasper or Copy.ai to churn out empathetic copy fast. On the backend, AI-based CRM tools like Zoho or Salesforce Einstein help personalise emailers based on health goals, mood patterns, or behavioural cues,” said Sushant Sadamate - COO and Co-Founder of Buzzlab.

Adding to this, Swati Bhattacharya, Senior Vice President – Brand and Communications, Remidio, highlighted how AI is being integrated at every stage of communication.

She said that generative platforms like ChatGPT, Jasper and Copy.ai are being used to produce blogs, social media posts and newsletters, while tools such as Grammarly Business and Writer ensure grammar, tone and brand consistency. Visual content creation is increasingly supported by Canva’s AI assistant and Adobe Firefly, which help generate branded graphics, infographics and videos at scale.

On the personalisation side, she said, CRMs like Salesforce Einstein, Adobe Sensei and HubSpot tailor messaging to behavioural data and health preferences, with platforms such as Sprinklr and Brandwatch providing real-time sentiment tracking to refine campaigns on the go.

For Dr Batra’s, AI’s biggest value lies in performance marketing and diagnostics. “When it comes to content, we use AI mainly for development. Dissemination, however, is still managed internally, tailored platform by platform,” said Siddharth Bajaj, CMO, Dr Batra’s Healthcare.

He added, “Where AI plays a much bigger role for us is in performance marketing. On Google, we are extensively using Performance Max, and on Meta, we rely heavily on Advantage Plus. Beyond campaigns, we’ve also built two AI-powered diagnostic tools, named AI Hair and AI Skin - powered by decades of clinical intelligence, enabling advanced analysis and predictive insights.” Launched in 2023, these tools have already shown strong adoption. “We were skeptical at first, but patients received them very well. Our success rate earlier was about 75–80 percent; after implementing these tools, it has risen to around 92–94 percent,” Bajaj noted.

Whereas others are applying AI in more specific, utility-driven ways. Chirag Gada, CEO at Dr. Vaidya’s by RPSG Group said the brand has begun using AI for replenishment reminders: “If a consumer has bought a 30-day dose, both they and my consulting team automatically receive an AI-generated ping reminding us that it’s time for renewal.”

To ensure the process feels personal, the messaging includes the customer’s name and references the product they purchased. “It’s not just a sales push. The tone is more about care, asking if the product worked for you and then offering an easy reorder option,” he explained. The company also complements AI outreach with human follow-ups: Ayurveda doctors personally call customers, focusing first on their experiences before moving to product renewals.

Chatbots are also emerging as a powerful tool to deliver more personalised and interactive experiences. Sangeeta Barde, Founder & Director at Organization For Rare Diseases India (Ordi) observed, “AI and chatbots can engage patients and consumers at a very individual level, something that would be difficult for a brand to achieve otherwise. But this requires strong data analytics. Without that, a chatbot risks sounding robotic rather than human-like.” She added that AI also helps brands scale up content creation and delivery efficiently.

Human Touch

Using AI tools can also quickly become robotic if not applied thoughtfully. Without strong data analytics and human oversight, communication risks sounding generic or mechanical, which can erode consumer trust. Experts note that while AI can automate conversations and personalise at scale, the real challenge is ensuring the tone feels empathetic, contextually relevant and aligned with the sensitivities of health communication.

“For a health brand, communication requires a strong degree of emotional intelligence. To ensure AI-generated content meets these standards, brands are putting safeguards in place,” said Swati Bhattacharya. She explained that companies are first defining clear tone-of-voice frameworks that emphasise empathy, encouragement and inclusivity. These guidelines not only shape internal communication but also guide AI prompts and fine-tuned language models. Some brands are even training AI systems on their archives of approved messaging to ensure that outputs remain consistent with the brand’s authentic voice.

According to her, the creation of such frameworks and the close monitoring of AI outputs underline that human oversight remains central to wellness communication. While AI can generate drafts in seconds, final approval typically rests with marketing and medical compliance teams, a crucial safeguard for sensitive or medically adjacent messaging. This “human-in-the-loop” approach helps ensure that content neither misleads nor alienates, and that it resonates with empathy and accuracy.

Bajaj agreed that empathy has to stay at the centre. He stressed that Dr Batra’s maintains a strict human gating process, with his team reviewing all communication before it goes out. He emphasised that empathy and care remain central when engaging with patients, while the technology serves only as the supporting mechanism.

Gada echoed the sentiment, adding that human connection complements technology. At Dr. Vaidya’s, he said, doctors personally call customers after a purchase. “The first 70% of the conversation is simply about you — how you felt, whether the product worked, and your experience. Only after that, if it makes sense, we move on to discussing the next lot or renewal.”

Balancing Innovation With Caution

Bhattacharya observed that the health and wellness sector is approaching AI with both caution and curiosity. In areas directly linked to clinical care, diagnostics or medical advice, brands remain wary due to the risks of misinformation, data privacy breaches and regulatory concerns. Here, AI is largely restricted to support functions such as summarising literature or streamlining internal workflows, with public-facing communication kept firmly under human control.

She pointed to Remidio’s own work as an example of responsible innovation. The company, which became the first to receive CDSCO approval for ophthalmic AI, uses its technology to detect conditions such as diabetic retinopathy, glaucoma and AMD in under two minutes, even without internet connectivity. Expansions are underway to screen for cardiovascular and kidney risks through retinal imaging.

Broadly, industry leaders see the future of AI in wellness as one of segmentation, keeping high-sensitivity zones human-led while using AI to test new formats, scale creative output and personalise engagement in lower-risk areas. “Cautious in execution, experimental in ambition,” said Sadamate. “The good ones are stress-testing AI across use cases, virtual health assistants, chatbot-based symptom checkers, mood-based content feeds, but with strict ethical guardrails. Missteps here come with real emotional consequences, not just PR damage.”

The consensus is clear: health and wellness brands are no longer debating whether to use AI, but how to deploy it meaningfully and responsibly, balancing innovation with the trust that defines the category.