Customer Service AI prompts

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Standardize your support team's communication across all channels to deliver a uniform customer experience regardless of the contact point.

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Create a structured escalation process that eliminates bottlenecks, reduces resolution time, and ensures critical issues reach the right decision-maker quickly.

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Train your support team in active listening, emotional validation, and nonviolent communication techniques adapted for customer support contexts.

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Reduce churn with retention scripts that address customers' real objections, offer concrete solutions, and respect consumer rights—no abusive practices.

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Standardize the closure of complex support interactions (consultative, technical, sales) with comprehension confirmation, responsibility assignment, and follow-up scheduling.

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Improve brand reputation on Reclame Aqui by responding to complaints with speed, empathy, and resolution focus, targeting the RA1000 seal (platform's highest rating for complaint handling).

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Prepare the company to respond quickly and coordinatedly when a complaint goes viral on social media, minimizing reputation damage and turning the crisis into an opportunity.

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Create a standardized resolution flow that empowers support agents to offer appropriate compensation, reducing resolution time and increasing satisfaction.

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Convert recurring complaints into systemic product, process, and service improvements, reducing ticket volume at the source.

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Prepare legal and customer service teams to handle formal complaints in Procon, Consumidor.gov.br, and Small Claims Court (Juizado Especial Cível), minimizing fines and litigation costs.

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Reduce repetitive ticket volume by at least 30% through a well-structured knowledge base with clear articles and intuitive navigation.

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Create a complete, high-quality dataset for training or refining a customer service chatbot, covering primary customer intents with natural language variations.

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Create a self-service experience that goes beyond static FAQs, guiding customers through resolution via a visual and interactive decision tree.

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Transform an underutilized FAQ into an efficient self-service resource by identifying missing content, outdated articles, and improvement opportunities.

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Create a series of 30-60 second FAQ videos that function as social media content AND as a support resource, reducing tickets and increasing engagement.

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Create an NPS program that goes beyond score collection, transforming feedback into concrete actions that increase retention and generate referrals.

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Measure customer satisfaction at specific moments along the journey (post-purchase, post-service, post-delivery) to identify friction points and delight opportunities.

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Identify and eliminate high-effort points in the customer experience, since research shows reducing effort is more effective for retention than surprising customers with delight.

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Implement a VoC program that centralizes all customer signals (surveys, tickets, social media, reviews, NPS) and transforms them into actionable insights for product, marketing, sales, and operations.

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Automate sentiment classification across all feedback channels to detect crises early, prioritize negative interactions, and measure brand perception in real time.

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Develop an automated relationship timeline that follows the customer from their first purchase, increasing repeat purchases, reducing churn, and maximizing lifetime value.

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Enable CS and support teams to spot expansion opportunities and execute natural upsell/cross-sell approaches without coming across as pushy salespeople.

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Create a loyalty program that increases purchase frequency and average order value, using gamification to engage customers and differentiate your brand.

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Build an early churn detection system that identifies at-risk customers 30–60 days before cancellation, enabling proactive retention efforts.

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Implement a Customer Success operation that ensures effective onboarding, full product adoption, and identification of account growth opportunities to maximize Net Revenue Retention.

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Build an automated customer service architecture via WhatsApp Business API that resolves 60–70% of inquiries without human intervention while maintaining a humanized experience and seamless handoff to agents for complex cases.

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Diagnose customer service SLA performance across all channels (WhatsApp, email, chat, phone, social media), identify the main bottlenecks causing service level breaches, and create a prioritized action plan with measurable impact.

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Create an operational CS playbook that standardizes CSM activities across every phase of the B2B customer lifecycle — from activation to advocacy — with clear processes, ready-to-use templates, and action triggers to maximize NRR.

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Extract maximum intelligence from qualitative NPS responses by categorizing comments by theme and sentiment, identifying the primary drivers of detraction and promotion, and implementing an inner and outer loop process to act on feedback systematically.

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Create an escalation and crisis management structure for support that ensures critical incidents are handled with speed, transparent communication, and no improvisation—from N1 agent to CEO, with clear protocols for each crisis type.