Analysis of how companies like Carrefour, Boticário, and Synthesia found the ideal balance between automated efficiency and human empathy in customer experience.
29 de novembro de 2025
9 min read
Source: itforum.com.br
+33pp
CSAT Synthesia
3
Carrefour Personas
NPS 90
Magalu
The most common misconception about AI in customer service is treating it as a binary choice: either full automation or human service. The most successful cases demonstrate that the real differentiator is the balance — knowing when to automate, when to humanize, and how to create AI that is itself perceived as humanized.
This analysis examines three distinct approaches to this balance — Carrefour (AI personas), Boticário (intelligent personalization), and Synthesia (self-service with smart escalation) — to extract principles for designing customer experiences that are simultaneously efficient and empathetic.
+33pp
CSAT Synthesia
3
Carrefour Personas
NPS 90
Magalu
The Carrefour Approach: AI Personality as Brand Strategy
Carrefour's most innovative decision wasn't implementing AI — it was creating three distinct personas (Carina, João, Samy) that reflect the identity of each brand.
Design Principles: - Carina (Carrefour): friendly, practical, solution-oriented — reflects the everyday convenience brand - João (Atacadão): direct, objective, value-focused — reflects the cash-and-carry warehouse model - Samy (Sam's Club): sophisticated, exclusive, experience-focused — reflects the premium membership club
This approach recognizes that humanization isn't about pretending the AI is human — it's about the AI communicating in a way that's authentic to the brand. A customer interacting with Carina gets a different (and appropriate) experience than one interacting with Samy.
The critical complement is intelligent escalation: the AI identifies signals of frustration, complexity, or emotional sensitivity and makes a seamless transition to a human agent who receives the complete context of the conversation.
The lesson is: AI persona design is as strategic as visual brand identity design.
The Boticário Approach: Personalization as Empathy
Grupo Boticário demonstrates a different form of humanization: an AI that shows empathy by deeply understanding the individual needs of each consumer.
Personalization as Empathy: - The AI remembers the customer's skin type and previous preferences - Recommendations consider occasions (gifts, daily use, special events) - The AI explains why it's recommending each product — educating rather than just selling - Adapts over time based on feedback and purchase history
This approach recognizes that one of the most valued aspects of human service is being understood and remembered. An in-store salesperson who remembers your skin type and last purchase creates a connection — and Boticário's AI replicates this digitally.
The +46% increase in conversion isn't just a matter of efficiency — it reflects consumers feeling that the experience is personalized and relevant, not generic and automated.
The lesson is: personalization is the digital form of empathy. AI that demonstrates it knows and understands the individual customer creates an emotional connection, even being non-human.
The Synthesia Approach: Self-Service with Smart Escalation
Synthesia demonstrates that even in a primarily self-service model, humanization is essential — not in the conversational AI itself, but in the intelligence of knowing when to activate human support.
Key Metrics: - 98.3% of queries self-resolved by AI - +33 percentage points in CSAT - 55% resolution rate
Paradoxically, CSAT increased 33 percentage points even with the vast majority of interactions being resolved by AI (not humans). This suggests that for many cases, quick and accurate self-service is more satisfying than waiting in a queue for human service.
The critical differentiator is the quality of escalation: the 1.7% of cases that reach human agents arrive with complete context, emotional analysis, and recommended solutions. This means the human agent can focus on what they do best — demonstrating empathy and critical judgment — without wasting time on triage and information gathering.
The lesson is: humanization isn't always about more human contact — it's about the right human contact at the right time.
Catalisa enables the creation of humanized AI agents that embody these principles — with configurable personas, conversation memory, intelligent escalation rules, and continuous monitoring.
With Catalisa's AI Agents, it's possible to design agents with distinct personalities for each brand or audience segment, configure intelligent escalation rules based on emotional and contextual signals, and monitor CSAT and satisfaction in real time.
The platform combines automation efficiency with customizable humanization, allowing companies to find the ideal balance for their specific context and audience.
IT FORUM. “Carrefour aposta em IA para atendimento humanizado”. itforum.com.br. Disponível em: https://itforum.com.br/noticias/carrefour-aposta-ia-atendimento-humanizado/. Acesso em: 27 fev. 2026.
MUNDO DO MARKETING. “Grupo Boticário lança assistente de IA e eleva conversão em 46% no e-commerce”. mundodomarketing.com.br. Disponível em: https://mundodomarketing.com.br/grupo-boticario-lanca-assistente-de-ia-e-eleva-conversao-em-46-no-e-commerce. Acesso em: 27 fev. 2026.
FIN.AI. “Synthesia customer story”. fin.ai. Disponível em: https://fin.ai/customers/synthesia. Acesso em: 27 fev. 2026.
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With three AI personas (Carina, João, and Samy) for its three brands, Carrefour centralized customer service while maintaining empathetic and personalized support.
27 de jan. de 2026
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8 min read
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Source: itforum.com.br
An artificial intelligence assistant integrated into the online shopping journey personalized recommendations and increased sales at the largest beauty group in Latin America.
24 de fev. de 2026
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7 min read
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Source: mundodomarketing.com.br
Facing a 690% spike in contacts, Synthesia achieved 96% reduction in resolution time — from 5 days 5 hours to just 4 hours 37 minutes — with 98.3% of queries resolved by AI.
07 de jan. de 2026
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8 min read
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Source: fin.ai
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