Customer Service AI Tools
Discover and compare the best customer service AI tools and software. Browse 26+ curated tools with reviews and rankings.
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Discover and compare the best customer service AI tools and software. Browse 26+ curated tools with reviews and rankings.
Projects tracked
26
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RECENT
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1
The Frigade Assist API adds product expertise to an AI agent you have already built. In one tool call — importing frigade from '@frigade/ai' and running frigade.assist({ query }) — your existing agent can answer product questions and guide users through any workflow, right inside the agent you already built. It is made for product and engineering teams who own an in-app agent and want it to show users where to click instead of replying with a wall of text, and for support and CX teams who need those answers to be accurate and controllable without engineering work. The problem it addresses is simple: most in-app AI agents cannot see the screen. When a user asks 'how do I do this?', the agent answers with a wall of text. Your agent has read your docs, but it has never used your product. That matters because written documentation is accurate exactly once — the day it is written. Docs go stale the day you ship, and an agent that links a help article from two releases ago sends users down paths that no longer exist. Frigade instead gives your agent the same product your user is looking at, so it can walk them through the workflow rather than pointing at a document. At the center of the product is a living model of your product that Frigade builds by using it. Frigade deploys agents that take a seat like any user — you invite Frigade the way you would invite a person, with nothing to document or configure first. Those agents work through your real workflows, clicking the same paths your users click and mapping how your features actually connect. Frigade also takes in your existing knowledge base. Then, because your product changes, it re-learns on every release: you ship, the map updates itself, and your agent is never a version behind. Ship a new feature and it is picked up; move a button and the guidance follows. Answers are grounded in the product rather than the documentation. Every answer comes from how your product behaves right now, so it holds up even when the help center is two releases behind. Your team stays in control of that content: anyone can rate any answer and write the behavior they want instead — no code — and that guidance holds from the next conversation on. Every reply your agent gives through Frigade is logged, and you can see every conversation in the dashboard, in Slack, or over the API. This is deliberately not only work for engineers: support, CS, and CX own the answers, rating replies and stating what they wanted instead, with no ticket to engineering. Beyond answers, Frigade provides guidance: the real steps, rendered inside your own UI. When a user needs to manage SSO, for example, the agent can show a step-by-step card such as 'Step 1 / 3 — Open Security to manage SSO. Follow the highlight.' Insights then show where users get stuck, where the agent helps, and where it hands off. When Frigade cannot help, it knows its limits and hands off cleanly, saying so right away and passing the conversation to your team. Steering lets your team tune the system over time — the more your team puts in, the better it gets. And alongside answering and guiding in the moment, Frigade can proactively surface the right feature to a user right when they would benefit from it, using the same idea as Frigade's Suggestions product to help drive feature adoption and expansion revenue. Underneath the single tool call sits an entire engine that relearns your product, plus a platform for your team to manage with no code. Frigade is a lightweight SDK and two primitives: register it as a tool your agent can call, in a few lines, and your agent can now run a live product tour or return a grounded product answer. Your agent stays in control — it decides when to call Frigade and what to do with the result — and keeps its own reasoning and voice. Frigade adds product expertise to your agent; it never takes over the conversation. Every call returns fast with a clear answer, and when Frigade cannot help it says so immediately so your agent never stalls or burns latency waiting. The four layers are a product model built by using your product and rebuilt every release, grounded answers written from your actual product, guidance rendered inside your own UI, and steering that improves with your team's input. The outcome is an agent that answers about the version that shipped rather than the version someone last documented. Because Frigade relearns automatically, nobody on your team has to retrain the agent or rewrite prompts when you ship. Support and CX can fix a bad answer themselves instead of filing engineering work. Teams also see measurable deflection: one customer reported that Frigade solved over 400 queries a month that would otherwise have gone to support, equivalent to two hires they did not have to make, and said it paid for itself within the first two months. Retell AI, which builds agents for a living, gave Frigade access to its product and reported that it learned the product on its own, allowing the agent to take someone through a workflow without manual documentation. Concrete workflows include answering plan and permission questions — for example, whether the Growth plan includes SSO, where the agent can answer yes, note that it is turned on under Settings and Security, and mention that SAML is Enterprise-only. It guides setup tasks such as adding a webhook, showing the user where to paste an endpoint URL and confirming the test event. It resolves billing questions, walks users through connecting integrations like Slack, and handles access questions. When a request is beyond it — deleting a workspace and all data, for example — it hands the conversation to a human. It also proactively surfaces the right feature at the right time to drive adoption and expansion revenue. Frigade Assist API is built for product and engineering teams that already run an in-app agent, and for the support, CS, and CX teams that own the answers. It is framework-agnostic: it integrates cleanly with the Vercel AI SDK today, and any agent that can call a tool can call Frigade, regardless of how the agent was built or which models it runs. On security, Frigade is SOC 2 Type II certified and fully GDPR compliant, encrypts data in transit with TLS 1.2+ and at rest with AES-256, offers EU data residency, a zero-retention LLM policy, and automatic PII scrubbing, and runs guidance with the user's own permissions. Teams needing full data control can self-host Frigade with their own LLM keys. Pricing starts at $1,000 per month with usage-based scaling, and enterprise plans with custom pricing are available. If you have not built an agent yet, Frigade ships a full in-product assistant that learns your product and guides users in real time, no code required. Frigade Assist API's primary promise is that your agent stops pointing at documentation and starts showing users exactly where to click. By adding one tool call to the agent you already built, you give it a product model that learns by using your product, re-learns on every release, and is tuned by your own team — with grounded answers, in-app guidance, clean handoffs, and full visibility into every conversation.
PTOFlow is a tool designed to streamline paid time off management by integrating directly with Slack and Google Calendar. It addresses the common workplace problem of manually tracking employee availability and managing time-off requests through disjointed systems. The platform handles PTO requests and approvals within Slack, automatically syncs approved time off to Google Calendar, and provides team visibility into who is out of the office. This integration-based approach ensures that everyone on the team can see upcoming absences without needing to ask or check multiple systems. PTOFlow works by creating automated workflows that connect Slack conversations with calendar updates. When an employee requests time off through the system, managers can approve it directly within Slack, and the approved time is automatically reflected on a shared Google Calendar that the whole team can access. The primary benefit is eliminating the manual back-and-forth of PTO management while ensuring calendar visibility across the organization. Teams no longer need to guess who is available or maintain separate tracking spreadsheets, as all approved time off is automatically visible in the shared calendar. Built by Derek Skaletsky using AI-assisted development, PTOFlow targets small to medium-sized businesses that may not use large HR platforms. The product integrates with Slack and Google Calendar, making it suitable for teams already using these workplace tools.

RallyText is a plain-text SMS platform designed for instant, reliable communication to entire rosters. It was created after a youth mountain bike coach faced the impossible task of getting kids to safety during a lightning strike while simultaneously needing to alert 40 families. The tool ensures one message reaches every phone without relying on group chats or app downloads. Key features include broadcast SMS that delivers messages as standard texts, a shared inbox where replies don't blast the whole team but instead appear in a dashboard with colored role badges, and natural language attendance detection that logs absences when members text phrases like "running late" or "won't be there." The system also supports PDF and image attachments, tracked map links for practice locations or waivers, auto-reminders, and CSV import for quick roster setup. RallyText works by sending fully A2P 10DLC compliant messages that carriers allow through, ensuring delivery. Replies are organized in a web dashboard with role-tagged identifiers so leadership can see who they're communicating with. When coaches or admins reply, their name and title are prepended to the message for clear attribution. The platform auto-wraps shortlinks to track clicks and confirms absences via text back to the member. The product is free to start and supports organizations such as sports teams, businesses, clubs, troupes, churches, and classrooms. Users can swap labels at signup to adapt the system for different organizational structures, turning "Coach/Athlete" into "Manager/Employee" or "Director/Cast." A 50-person team can be set up in under five minutes using CSV import for rosters, groups, and calendars.

Kodda is a no-code AI chatbot widget designed specifically for customer support. The platform enables businesses to create intelligent chatbots by simply uploading their existing documents, eliminating the need for complex programming or technical setup. The core functionality centers around document-based AI training. Users upload their support documents, FAQs, knowledge base articles, or any relevant documentation, and Kodda transforms this content into an intelligent chatbot capable of answering customer questions accurately. The system operates 24/7, ensuring customers receive immediate assistance regardless of time zones or business hours. Key capabilities include instant chatbot deployment through a simple embed code that works on any website. The no-code approach means support teams can set up and manage the chatbot without involving developers or IT departments. The platform uses advanced RAG (Retrieval-Augmented Generation) and embedding technologies to ensure responses are accurate and contextually relevant to the uploaded documents. The implementation process is straightforward: upload documents, customize the chatbot appearance if desired, and embed the provided widget code on your website. The entire setup can be completed in minutes rather than days or weeks typically required for traditional chatbot development. Benefits include significant reduction in support ticket volume, improved customer satisfaction through instant responses, and cost savings compared to hiring additional support staff. The 24/7 availability ensures global customers always have access to assistance, while the document-based approach guarantees consistent, accurate information delivery. Kodda offers a free plan with no credit card requirement, making it accessible for businesses to test and implement immediately. The platform is particularly suited for small to medium businesses, startups, and any organization looking to automate customer support without technical complexity or significant investment.

Answerz converts customer emails into support tickets using artificial intelligence. Designed for solo founders managing multiple projects, it consolidates scattered Gmail messages into a single organized inbox, eliminating the need to dig through dozens of emails to find urgent client requests. The platform offers AI-drafted reply suggestions, urgency scoring that surfaces high-priority tickets first, and automatic spam filtering. Setup requires only forwarding a support@ address, which takes about two minutes. The interface deliberately avoids enterprise features such as multi-seat licenses for large agent teams, focusing instead on lightweight workflows suitable for individual operators. Users connect their existing email addresses by forwarding messages to Answerz. Incoming mail is parsed and displayed as tickets in a unified dashboard. The built-in AI generates response drafts, reducing typing time. Each ticket receives an urgency score, allowing founders to address critical issues before less pressing ones. Spam is filtered out automatically, keeping the inbox clean. Benefits include faster response times, reduced risk of overlooked customer inquiries, and less time spent on repetitive support tasks. The tool aims to prevent scenarios where clients wait three days for a reply because urgent messages were buried under eighty other emails. Target users are solo founders, agency owners, and independent SaaS operators who handle customer support without a dedicated team. A fourteen-day free trial is available without requiring a credit card.
Nini is a phone-based AI assistant designed specifically for seniors and their caregivers. It operates through a single phone number that seniors can call or text to receive help with various daily tasks. The service coordinates appointments, arranges rides, orders groceries, manages prescription refills, and handles other small daily responsibilities that can become challenging for older adults living independently. The key features of Nini include appointment scheduling and management, reminder services for medications and important events, ride coordination for medical appointments or errands, grocery ordering and delivery arrangement, prescription refill management, and general question answering. The system also keeps family members informed about their loved one's activities and needs, reducing the caregiving burden on adult children and relatives. Nini works through simple phone calls or text messages, eliminating the need for seniors to learn new technology, download apps, remember passwords, or navigate complex interfaces. The AI assistant is available 24/7 and can handle multiple types of requests through natural conversation. Family members can monitor activities and receive updates about their loved one's interactions with the service, providing peace of mind while maintaining the senior's independence. The service addresses the common challenge faced by seniors who struggle with rapidly changing technology and don't want to feel like a burden to their busy adult children. By using the familiar interface of a telephone, Nini allows seniors to maintain their dignity and independence while still receiving the assistance they need for daily tasks. The AI assistant is patient, always available, and designed to handle the specific needs of older adults. Nini is particularly suited for seniors living independently, widowed seniors, and older adults who are not comfortable with smartphones or computers. The service requires no special equipment beyond a basic telephone and works regardless of whether the user has mobile data or advanced phone features. Family caregivers benefit from reduced stress and fewer daily interruptions while staying informed about their loved one's needs.

Rolo is a relationship intelligence system designed to help users remember the people who matter. The platform consolidates scattered messages, notes, meetings, and follow-ups into a unified system that provides timely context and actionable next steps. The system transforms relationship chaos into a living system that users can act upon. By organizing communication fragments across different channels, Rolo eliminates the need to rely on memory alone when managing professional and personal relationships. Key capabilities include turning disparate relationship data into structured context and generating actionable next steps. The platform focuses on helping users show up with care by providing relevant information at the right time. Rolo's approach centers on creating a systematic way to manage relationship information that would otherwise remain scattered across various communication platforms. This systematic organization enables more thoughtful and informed interactions. The platform is particularly valuable for professionals who manage multiple relationships and need to maintain context across various interactions. By providing timely reminders and relevant background information, Rolo helps users build stronger connections. Target users include professionals, sales teams, and anyone who needs to maintain multiple relationships with consistent context and follow-up management. The system is designed to integrate relationship management into daily workflows.
Convert text to natural-sounding speech instantly. 100+ AI voices, 7 Indian languages, studio-quality audio.
Expressive Mode is a voice agent that blurs the line between AI and human conversation. It adapts tone, timing, and emotion by context using Eleven v3 Conversational and a new turn-taking system.
Social AI monitors, classifies, and responds to Facebook and Instagram comments automatically for e-commerce brands. It handles social interactions at scale without adding headcount by automating repetitive moderation tasks.