AI chatbots are getting better at remembering details, understanding context, and offering more human-like support for routine tasks based on customer data. For business leaders and support teams, this means faster service and the automation of routine inquiries. Imagine an AI assistant that doesn't just answer customer questions but also learns from every interaction, remembers customer preferences, and gets smarter over time. That can transform your customer service experience from good to exceptional.

In this article, we'll explore the best AI customer support tools, with a special focus on how new AI memory capabilities are revolutionizing the traditional customer service and data fields. We'll also introduce you to Tanka, an AI messenger with long-term memory and smart features for consistent responses.

What makes an AI customer support tool great?

Here’s what to look for to reduce customer churn and improve agent efficiency, all without needing technical expertise.

Fast, accurate responses

The best AI tools make it easier for support teams to respond quickly and provide helpful answers. By remembering past conversations and organizing shared knowledge, they help find the right information fast and draft context-aware messages.

Context awareness

Great AI systems don't just start from scratch in every conversation. They remember previous chats, building their AI knowledge base, and use that info to give a personalized customer experience.  

AI search

It’s a valuable feature in many tools, enabling users to search across internal chats, documents, and shared knowledge repositories. Search results clearly indicate their source, allowing users to quickly and easily find relevant information within their organization.

Knowledge base management

Centralizes resources like FAQs, product manuals, and guidelines, and enables AI to use that content for drafting consistent, accurate replies.

Collaboration features

Enables teams to work together on tickets or cases—sharing files, notes, and insights to ensure everyone is aligned and informed.

Integration with business tools

AI support tools should integrate with the apps you already use. Look for something that connects easily with platforms like Slack, WhatsApp, Gmail, and your CRM system. This makes everything run more smoothly and keeps all your customer info in one place.

Workflow automation

The top AI tools can handle repetitive tasks like ticketing, sending follow-ups, summarizing chats, and more. This takes a lot of busy work off your team.

Scalability & adaptability

As your business grows, your AI support tool should grow with it. The best tools can handle many customer queries at once and adapt to different industries. Whether you're a small startup or a large company, your AI should keep up.

The goal is to find an AI tool that makes customer support faster, smarter, and more personal by understanding customer needs. It should feel like an extension of your customer feedback team, not just another chatbot.

Read also: AI Customer Success Tools in 2025: The Secret to Double Your Customers and Keep Them Happy

AI solutions that improve customer support workflows

Tanka AI tool: A messenger powered by AI long-term memory

Tanka is an AI-powered messenger with long-term memory. While not built specifically for customer support, it includes features that are helpful for teams working with clients. Unlike other AI tools, Tanka learns and improves with every interaction, making it a powerful assistant that helps improve client service.

Key features:

• AI-powered messaging. Tanka continues the conversation from where it stopped. It remembers past interactions and helps draft context-aware emails and messages so support agents don’t need to refresh their memory and look for relevant information in endless files.  
• Integrations. Tanka connects with Slack, Google Workspace, Microsoft Teams, Notion, calendars and more. It tracks conversations across these tools and stays aware of the context, wherever your team communicates. It knows the details of each project and can retrieve relevant information when needed.
• Instant business docs generated by AI: Automatically generate FAQs and customer support documents from chats, group discussions, and related materials stored in Tanka’s memory. So your team has a self-updating knowledge base and always-ready answers.
• AI search. Tanka’s AI assistant allows users to search across internal chats, documents, and shared knowledge from all integrated apps. Search results clearly indicate their sources, helping teams quickly find accurate, up-to-date information.
• Task automation. Tanka automatically summarizes conversations, analyzes documents, and translates chats.
• Team Wiki helps build a centralized knowledge hub for your support team. By uploading FAQs, user manuals, and instructions, you give the AI assistant the context it needs to draft smart, relevant replies, helping your team respond more quickly and accurately.
• Co-Memory works well for case-based customer service. For instance, when a customer opens a ticket, the support team can start a group chat and bring in relevant stakeholders to collaborate. They can upload all related materials so everyone stays aligned, and the AI assistant can generate replies based on that shared knowledge.
• Data security. End-to-end encryption and strict access controls keep customer and business data safe. Critical for customer trust and compliance.

ChatGPT for customer support agents

ChatGPT's strength lies in its ability to understand and respond to a wide range of customer queries in a conversational manner. It's great for handling one-time, complex questions that require detailed explanations. However, its limited ability to remember past interactions or access customer data limits its usefulness for ongoing support scenarios.

Key features:

• Response generation. Generates professional, empathetic replies to customer complaints and reviews across multiple channels. Requires agent review for accuracy and personalization.
• Customer chatbots. Integrates via API to create human-like chatbot interactions. Offers dynamic responses based on a business’s specific knowledge base.
• Summarization of customer inquiries. Condenses long customer complaints and past interactions into concise summaries. Helps agents quickly understand customer issues, improving response time.
• Multilingual translation. Useful for supporting global customer bases with multilingual agents. Requires verification for accuracy, especially with slang or misspellings.
• Simulated training interactions. Simulates real-life customer interactions for agent training, including challenging or difficult customer scenarios. Provides instant feedback and ratings for agents to improve their skills.

Read also: ChatGPT Knowledge Base: AI for Smarter Teams

Perplexity AI for customer support

Perplexity AI uses natural language processing to quickly find and share relevant information from customer messages, making it great for handling FAQs and product or service questions. Its real-time search, powered by a knowledge base, ensures customers get personalized and up-to-date information. However, it's not as effective for ongoing customer interactions that require remembering past conversations.

Key features:

• Integrated internal & external knowledge search. Combines public web data with proprietary company information to provide comprehensive answers.
• Advanced AI model access. Offers selection between GPT-4, Claude 3, and GPT-4 Omni to adapt response quality to specific needs.
• Integration with existing tools. Connects with platforms like NVIDIA, Zoom, and Databricks to streamline workflows.
• Security and compliance. Ensures data privacy with SOC 2 certification, real-time threat alerts, and data retention policies.
• Automated ticket routing. Analyzes customer inquiries to create and assign support tickets to appropriate agents.
• Sentiment analysis for proactive support. Detects customer emotions to initiate timely and empathetic responses.
• Multilingual support. Offers assistance in multiple languages, broadening accessibility for global customer bases.
• Automated knowledge base updates. Continuously refreshes internal knowledge repositories to maintain current information.
• Scalable support capabilities. Handles high volumes of customer queries concurrently, maintaining consistent service levels.

Zendesk AI agent

Zendesk AI is great at simplifying customer support within the Zendesk system. It has an AI agent that helps automate routine tasks and gives human agents useful suggestions. However, its AI is more focused on improving current processes than on offering advanced, flexible conversational support.

Key features:

• Multi-channel ticketing system. Collects and manages customer requests from various sources including email, chat, social media, phone, and help center forms, centralizing all interactions in one platform.
• Customer context panel. Agents receive full visibility into customer history, sentiment, and prior interactions to personalize support.
• Collaboration tools. Agents can collaborate internally on tickets using private comments and side conversations with other teams to resolve complex issues efficiently.
• Audit logs and agent collision detection. Tracks changes to tickets and alerts agents when others are working on the same ticket to avoid duplicated efforts.
• AI-powered knowledge management. Uses generative AI to help create, expand, and maintain knowledge base articles, and semantic search to improve content discoverability.
• AI reporting and insights. Provides dashboards and analytics on agent performance, ticket trends, customer satisfaction, and AI effectiveness to optimize support operations.
• Security and compliance. Designed with privacy and compliance in mind (e.g., GDPR, CCPA), ensuring secure handling of customer data.
• Industry-specific AI training. AI models pre-trained for sectors like finance, insurance, IT, retail, and more.

Freshdesk AI agent in customer service

Freshdesk AI is great at handling structured support workflows, automatically categorizing and routing tickets, and quickly responding to common customer requests. It improves the efficiency of traditional ticketing systems. However, it's less effective at having natural conversations or handling unique, complex customer situations.

Key features:

• Ticket management. Centralizes customer inquiries from multiple channels into tickets that can be tracked, prioritized, categorized, tagged, merged, and assigned to appropriate agents or teams for resolution.
• Multi-channel support. Supports customer interactions across email, phone, live chat, social media (Facebook, Twitter), messaging apps (WhatsApp), and SMS, all managed from a single unified platform.
• Automation tools. Automates repetitive tasks such as ticket assignment, priority setting, status updates, follow-ups, and escalations based on customizable rules to reduce manual workload and improve response times.
• AI-powered assistance (Freddy AI). Uses AI for chatbots, predictive support, automatic ticket classification, intelligent routing, and suggesting relevant solutions to agents and customers to expedite issue resolution.
• Collaboration features. Enables internal team collaboration through shared inboxes, internal notes, linked tickets, team huddles, and side conversations to resolve complex issues efficiently.
• Reporting and analytics. Offers customizable reports and dashboards tracking metrics like response times, ticket volumes, agent productivity, customer satisfaction scores, and SLA compliance for data-driven support management.
• Third-party integrations. Integrates with CRM systems (e.g., Salesforce), communication tools (e.g., MS Teams, Slack), e-commerce platforms, and other business applications to extend functionality.
• Custom roles and permissions. Enables granular control over user access and permissions within the platform.
• Multilingual support. Supports multiple languages for global customer bases, including localized portals and communications.

Related: Best Customer Communication Management Software

Why AI memory is the game-changer for customer support

AI memory is transforming customer support by solving key issues that have long affected both customers and support teams. Here's why it's having such a big impact:

Reducing repetition and frustration

Traditional AI chatbots often forget previous interactions, forcing customers to repeat information and leading to frustration. Tanka's long-term memory solves this problem by retaining context across conversations. This means customers don't have to explain their issue multiple times.

Maintaining conversation context

With AI memory, support interactions become more natural and human-like. Tanka's MemGraph technology organizes knowledge hierarchically, creating contextual connections between information. This helps the AI understand how different pieces of information are connected, leading to more relevant and personalized responses.

Simplifying follow-ups and solutions

AI memory improves customer service by making it easier to handle ongoing issues and follow-ups. Tanka's system can remember past interactions, customer preferences, and previous solutions, which helps resolve complex problems that require multiple conversations. This continuity in support boosts the overall customer experience and increases the chances of successful resolutions.

Impact on key metrics

The implementation of AI memory in tools like Tanka has a profound effect on several crucial metrics:

• Response accuracy: By leveraging past interactions and contextual information, AI-powered responses become more precise and relevant.
• Customer satisfaction: Customers appreciate not having to repeat themselves and receiving personalized support, which leads to higher satisfaction rates.
• Operational efficiency: Support teams can handle inquiries more quickly and effectively, with AI memory reducing the need for manual lookups and repetitive explanations.

AI memory is changing customer support by improving key areas. It’s not just about faster responses; it’s about creating smarter, more personalized, and efficient support that helps both customers and businesses.

You might be interested in: AI Communication Tools for Effective Collaboration

How to choose the right AI tool for customer support

Here are some key considerations to help you make the right decision:

For high volumes of repetitive queries

If your team often deals with a large number of similar questions, an AI assistant with smart replies could be a game-changer. Look for tools that can:

• Quickly categorize and respond to common inquiries.
• Learn from past interactions to improve response accuracy.
• Provide consistent answers across different channels.

For businesses requiring long-term customer relationships

If building and maintaining strong, lasting customer relationships is crucial for your business, AI memory becomes essential. Consider tools like Tanka that offer:

• Long-term memory across multiple interactions.
• Ability to recall customer preferences and past issues.
• Personalized responses based on customer history.

For teams using multiple platforms

If your team uses multiple communication platforms, choose an AI tool that integrates easily. Look for these key features:

• Native integration with popular tools like Slack, WhatsApp, and Gmail.
• Ability to sync information across different platforms.
• Unified dashboard for managing all customer interactions.

Remember, the best AI customer support tool for your business is one that not only meets your current needs, but can also scale and adapt as your business grows. Consider factors like service quality, ease of implementation, customization options, and ongoing support from the provider when making your decision.

Conclusion: Why Tanka is the best choice

Tanka can significantly improve customer support by improving communication and collaboration. For example, support teams can resolve recurring customer inquiries more efficiently by using Tanka’s memory feature to remember past conversations and instantly provide personalized responses. In situations where multiple departments need to collaborate on a case, Tanka's Co-Memory feature allows teams to easily share relevant information, ensuring everyone is aligned and speeding up response times.

Tanka’s task automation can summarize chats, analyze documents, and provide AI-driven insights, helping agents focus on complex issues.

Additionally, teams can quickly find necessary information through Tanka’s AI search, reducing the time spent searching through multiple tools and documents. By maintaining data security with end-to-end encryption, Tanka helps businesses ensure customer trust while improving the overall efficiency of their support operations.

Try Tanka today and experience AI-powered customer support that never forgets.