Situation

Our client, one of the region’s leading healthcare brands, was managing a growing volume of conversations across Facebook, Instagram, and TikTok. While their team remained highly committed and responsive, the process behind the scenes was still heavily manual.

Community managers had to monitor mentions individually, assess sentiment manually, determine urgency levels, and craft responses under tight timelines. As conversations increased across platforms, maintaining consistency, speed, and visibility became increasingly difficult.

This created several operational challenges:

• Important or sensitive mentions could be missed during high-volume periods
• Response times varied depending on manpower availability
• Sentiment tagging and escalation tracking lacked consistency
• Teams spent excessive time filtering conversations instead of engaging meaningfully with audiences
• There was no centralised system to prioritise conversations requiring immediate attention

In healthcare especially, delayed or poorly managed responses can directly affect customer trust and brand perception.

The client needed a smarter and more scalable approach to social engagement, without losing the empathy and human understanding that healthcare communication requires.

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Challenge

The core challenge was not simply about automation.

The client needed a solution that could:

• Improve responsiveness across multiple social platforms
• Detect and prioritise high-risk conversations in real time
• Support faster decision-making for community managers
• Maintain contextual accuracy and tone in customer responses
• Deliver operational efficiency without compromising the customer experience

Most importantly, the system had to support human teams, not replace them.

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What we Built

DEX Ventures, in collaboration with a fellow partner within the Andersen Consulting network, worked closely with the client to develop an AI-assisted social sentiment and response management framework designed to strengthen the client’s community engagement capabilities.

The collaboration brought together strategic communications expertise, AI enablement, and automation capabilities to create a more intelligent and scalable customer engagement ecosystem.

The objective was straightforward:
Help teams respond faster, prioritise better, and gain clearer visibility into audience sentiment in real time. The solution combined several layers of intelligence into a unified operational workflow.

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Real-time Sentiment Monitoring

We implemented an AI-powered crawling framework that continuously monitored conversations across:

• Xiaohongshu
• Facebook
• Instagram
• TikTok

Using natural language processing and sentiment analysis models, the system was able to identify:

• Positive and negative sentiment
• Escalating conversations
• Customer complaints and service-related concerns
• Urgent mentions requiring immediate attention
• Emerging sentiment patterns and behavioural trends

Instead of manually sorting through every comment or mention, teams were immediately able to focus on the conversations that mattered most.

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Smarter Priortisation Through AI

One of the most impactful improvements came from introducing an intelligent tagging and prioritisation framework.

Each social mention was automatically assessed based on:

• Severity of sentiment
• Potential reputational risk
• Context and tone
• Relevance to the brand
• Likelihood of escalation

Mentions were then assigned a quality score that helped community managers prioritise responses more effectively.

This significantly reduced operational noise and improved efficiency, allowing teams to spend less time filtering conversations and more time responding meaningfully.

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Contextual AI-Assisted Responses

To further streamline workflows, we introduced AI-assisted response recommendations.

Rather than generating generic or robotic replies, the framework suggested contextual responses based on:

• Conversation tone
• Language nuances
• Platform-specific communication behaviour
• Historical engagement patterns
• Brand-safe communication guidelines

Importantly, all responses remained human-reviewed before publishing, particularly critical within the healthcare category where empathy, clarity, and accuracy are essential.

The AI acted as an enabler for the team, helping them respond faster and more consistently while maintaining a human tone of voice.

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The Results

To further streamline workflows, we introduced AI-assisted response recommendations.

Rather than generating generic or robotic replies, the framework suggested contextual responses based on:

• Conversation tone
• Language nuances
• Platform-specific communication behaviour
• Historical engagement patterns
• Brand-safe communication guidelines

Importantly, all responses remained human-reviewed before publishing, particularly critical within the healthcare category where empathy, clarity, and accuracy are essential.

The AI acted as an enabler for the team, helping them respond faster and more consistently while maintaining a human tone of voice.

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Why It Worked

What made this initiative successful was not simply the implementation of AI, but how the technology was applied within the workflow.

By combining DEX Ventures’ expertise in digital engagement and customer experience with AI and automation capabilities from within the Andersen Consulting network, the project was approached from both a human and technology perspective.

The AI handled the heavy lifting:

• Monitoring
• Sorting
• Flagging
• Prioritising
• Recommending

This allowed human teams to focus on what mattered most:
Meaningful engagement, empathetic communication, and faster decision-making.

The result was a more responsive, informed, and scalable social engagement ecosystem that improved both operational performance and customer experience.

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Looking Forward

Today, the framework continues to support the client’s ongoing social engagement operations across multiple platforms, helping them maintain a more proactive and scalable approach to community management.

While AI is not a silver bullet, this initiative demonstrated how thoughtful implementation can meaningfully elevate the way brands listen, respond, and build relationships with their audiences.

For DEX Ventures, it reinforced an important belief:

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“The future of customer engagement is not human versus AI, it is human expertise enhanced by AI done right.”

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DEX Ventures helps brands integrate AI, automation, and digital intelligence into modern marketing ecosystems.

Working alongside strategic partners across the Andersen Consulting network, we combine communications expertise with emerging technologies to help brands move faster, work smarter, and create better customer experiences at scale.