# Ada - AI customer service agents for enterprise > Ada is the AI customer service platform for enterprise businesses to deliver personalized customer experiences across messaging, voice, and email channels at scale using AI agents. > Full content: https://www.ada.cx/llms-full.txt ## Home - [Homepage](https://www.ada.cx/): Ada empowers enterprise organizations to deploy AI customer service agents that resolve up to 84% of conversations autonomously, ensuring 24/7 support with continuous improvement through measurement, testing, and coaching. ## Platform - [Platform Overview](https://www.ada.cx/platform/): Discover how Ada's AI customer service platform measures, tests, coaches, and extends AI agents at scale. - [Integrations](https://www.ada.cx/platform/integrations/): Ada integrates seamlessly into your technology stack, explore integrations to personalize interactions across channels. - [Messaging](https://www.ada.cx/platform/messaging/): Serve customers on WhatsApp, Instagram, and more with ada’s AI customer service platform that understands context and personalizes replies - [Voice](https://www.ada.cx/platform/voice/): Answer, authenticate, and resolve calls automatically with Ada’s AI voice agents — reduce wait times and IVR drop‑offs - [Email](https://www.ada.cx/platform/email/): Resolve email tickets at scale with Ada’s AI customer service agent—prioritize, draft, and resolve messages without manual effort - [Playbooks](https://www.ada.cx/platform/playbooks/): Empower AI customer service agents to follow SOPs, automate complex CX workflows and boost CSAT. - [Vertical Playbooks llms.txt](https://playbooks.ada.cx/llms.txt): Full index of all 36 industry-specific AI agent playbooks across ecommerce, financial services, gaming, health insurance, P&C insurance, SaaS, and travel — each demonstrating multi-step workflow automation on the Ada platform. - [Vertical Playbooks llms-full.txt](https://playbooks.ada.cx/llms-full.txt): Full content for all 36 industry-specific playbooks — detailed Why/When/What breakdowns for every playbook, structured for AI content ingestion. - [Trust & Safety](https://www.ada.cx/platform/trust/): Ada’s enterprise-grade platform helps you build compliant, trustworthy AI agents, certified for SOC 2, GDPR, HIPAA, and AIUC 1 - [Trust Center](https://security.ada.cx/): Ada’s dedicated security and compliance portal — view certifications (SOC 2 Type II, SOC 3, HIPAA, GDPR, CCPA, CPRA, PIPEDA, VPAT), download reports (penetration test, AI agent security, DFD, PCI AOC), and review Ada’s full information security program including product security, data privacy, AI safety controls, and risk management. - [Book A Demo](https://www.ada.cx/demo/): Schedule a consultation to discover how Ada can help transform your customer service organization with AI agents. ## Industries - [Ecommerce](https://www.ada.cx/industry/ecommerce/): Tailored AI agent solutions for online retail businesses. - [Financial Services](https://www.ada.cx/industry/financial-services/): Enhance customer support in the financial sector with AI agents. - [Gaming](https://www.ada.cx/industry/gaming/): Support gamers at scale with AI agents. - [Health Insurance](https://www.ada.cx/industry/health-insurance/): Improve member experiences in health insurance with AI agents. - [SaaS](https://www.ada.cx/industry/saas/): Scale and optimize customer support for software companies using AI agents. - [Property & Casualty Insurance](https://www.ada.cx/industry/property-casualty-insurance/): Transform customer service with AI agents for property and casualty insurance, reducing claim friction and improving service efficiency. - [Travel](https://www.ada.cx/industry/travel/): AI customer service agents built for airlines and travel brands to deliver seamless, scalable support. ## Customer Stories - [Customer Stories](https://www.ada.cx/case-studies/): See how 350+ enterprise brands across ecommerce, financial services, gaming, health insurance, P&C insurance, SaaS, travel, and telecom have transformed their customer service with Ada's AI agents. - [IPSY](https://www.ada.cx/case-study/ipsy/): Beauty subscription brand achieved 943% ROI by unifying customer experience with Ada's AI agent. - [Blackhawk Network](https://www.ada.cx/case-study/blackhawk-network/): Global payments leader built a mature, generative AI customer experience with Ada. - [Tilt](https://www.ada.cx/case-study/tilt/): Fintech platform scaled to 6 million conversations using Ada's AI agent. - [Cebu Pacific](https://www.ada.cx/case-study/cebu-pacific/): Philippine airline raised CSAT by 50% after deploying Ada's generative AI agent. - [Simba Sleep](https://www.ada.cx/case-study/simba-sleep/): Sleep brand unlocked over $600K in monthly revenue with Ada's AI customer service. - [Loop Earplugs](https://www.ada.cx/case-study/loop-earplugs/): Consumer brand achieved 357% ROI scaling AI-powered CX across channels with Ada. - [Checkr](https://www.ada.cx/case-study/checkr/): Background screening company automated 69% of support inquiries using Ada's AI agent. - [Life360](https://www.ada.cx/case-study/life360/): Family safety app increased support capacity 5x with Ada's AI agent. - [Trust & Will](https://www.ada.cx/case-study/trust-and-will/): Legal tech platform scaled empathetic, personalized customer support using Ada's AI agent. - [Epos Now](https://www.ada.cx/case-study/epos-now/): POS platform saved 60,000 labor hours monthly by deploying Ada's AI customer service. - [monday.com](https://www.ada.cx/case-study/monday-com/): Work management platform cut average handling time by 42% with Ada's AI agent. - [Neptune Flood](https://www.ada.cx/case-study/neptune-flood/): Flood insurance provider reduced cost per ticket by 78% and now processes 30–35% of all claims directly through Ada's AI agent. - [Brigit](https://www.ada.cx/case-study/brigit/): Financial health app improved CSAT by 15% and resolved 40% of tickets autonomously, with Ada's AI agent outperforming their previous scripted chatbot on every metric. - [Tango Card](https://www.ada.cx/case-study/tango-card/): B2B rewards and incentives platform achieved 100% SLA adherence and 6.7x ROI in the first year using Ada's AI agent. - [Grab](https://www.ada.cx/case-study/grab/): Southeast Asia's leading super-app reduced ticket backlog by 90% and cut operational costs by 23% deploying Ada across 6 markets on Facebook Messenger. - [Wave](https://www.ada.cx/case-study/wave/): Financial software platform for SMBs achieved 5x ROI and $1.2M in annual savings, with Ada's AI agent (Mave) cutting support ticket creation by 65% in the first month. - [Indigo](https://www.ada.cx/case-study/indigo/): Canada's leading bookseller saved $150,000 in 6 months and proactively rerouted 120,000 potential holiday delivery delays using Ada integrated with real-time carrier data. - [Digicel](https://www.ada.cx/case-study/digicel/): Caribbean telecom serving 13 million customers saved $750,000 per year and handles 135,000 conversations monthly across 31 markets in 5 languages with Ada's AI agent (Ruby). - [Betsson Group](https://www.ada.cx/case-study/betsson/): Four-time 'Customer Service Operator of the Year' winner resolves 45% of all interactions with Ada across 7 markets, deployed in under 30 days. ## Blog - [Blog](https://www.ada.cx/blog/): Ada's AI customer service blog — thought leadership, industry guides, use case breakdowns, and strategic frameworks for CX and AI leaders across ecommerce, financial services, gaming, health insurance, P&C insurance, SaaS, and travel. ### Core ACX & Strategy - [Agentic customer experience (ACX): The operating model activating AI transformation](https://www.ada.cx/blog/agentic-ai-customer-experience-acx-operating-model/): How leading enterprises operate AI customer service differently — introducing the ACX Operating Model that turns AI from a pilot into a scalable business function. - [The CFO loved your AI business case. Gartner says it's wrong.](https://www.ada.cx/blog/ai-for-customer-service-headcount/): Why most AI customer service business cases fail at the CFO level and how to build one grounded in the metrics that actually matter. - [What 2,000 consumers told us about AI customer service, and what it means for your business](https://www.ada.cx/blog/agentic-ai-for-customer-service-report/): Research from Ada's global consumer survey on the gap between what customers expect from AI and what most enterprises are delivering. - [The readiness gap holding back enterprise AI customer service](https://www.ada.cx/blog/enterprise-ai-customer-service-readiness/): The organizational and operational gaps most enterprises need to close before AI customer service can deliver at scale. - [The hidden cost of channel-first AI: What's undermining your strategy, and how to fix it](https://www.ada.cx/blog/channel-first-ai-customer-service-hidden-costs/): Why building AI channel by channel creates invisible fragmentation — and how a unified reasoning approach changes the outcome. ### Voice AI - [One brain for every channel: The future of agentic customer service starts here](https://www.ada.cx/blog/unified-reasoning-engine-ai-voice-agents/): How Ada's unified Reasoning Engine™ powers both voice and messaging from a single intelligence layer, and why that matters for omnichannel consistency. - [How enterprises scale AI voice agents for real-world customer service](https://www.ada.cx/blog/enterprise-ai-voice-agents-at-scale/): Lessons from Branch and Ancestry on making AI voice agents work at enterprise scale — the operational realities beyond the demo. - [Metrics that matter for AI voice agents in customer service](https://www.ada.cx/blog/top-ai-voice-agent-kpis-customer-service/): What to measure when deploying AI voice agents — the KPIs that reflect real customer outcomes rather than just call deflection. ### AI Agent Use Cases by Industry - [AI agent in the field: 5 AI customer service use cases ecommerce brands are automating today](https://www.ada.cx/blog/ai-customer-service-use-cases-ecommerce/): The five highest-volume ecommerce workflows AI agents are resolving — from WISMO to returns and loyalty inquiries. - [AI agent in the field: 5 AI in financial customer service use cases to prioritize](https://www.ada.cx/blog/ai-in-financial-services-customer-service-use-cases/): The five financial services workflows — account inquiries, onboarding, fraud support — that banks and fintechs are automating right now. - [AI agent in the field: 5 AI customer service agent use cases for gaming](https://www.ada.cx/blog/ai-customer-service-gaming-use-cases/): How gaming platforms use AI agents to automate player support, account management, and responsible gaming workflows at scale. - [AI agent in the field: 5 AI customer service use cases for health insurance](https://www.ada.cx/blog/ai-use-cases-health-insurance-customer-service/): Production-ready use cases for AI in health insurance — benefits inquiries, claims status, provider lookup, and member onboarding. - [AI agent in the field: 5 AI customer service use cases for airlines and travel brands](https://www.ada.cx/blog/ai-customer-service-travel-use-cases/): How airlines and travel platforms use AI agents to automate disruption management, baggage, bookings, and loyalty inquiries. ### Industry Guides - [The ultimate guide to AI for ecommerce customer service](https://www.ada.cx/blog/the-ultimate-guide-to-ecommerce-customer-service/): Comprehensive guide to building agentic ecommerce customer service — from automation strategy to tech stack and operational model. - [The ultimate guide to AI in the travel industry: Building resilient customer service at scale](https://www.ada.cx/blog/ai-in-the-travel-industry-enterprise-guide/): How travel brands use agentic AI to handle disruption, protect ancillary revenue, and deliver consistent service across every channel. ## Events - [Events](https://www.ada.cx/events/): Curated live events, dinners, and webinars for enterprise CX and ACX leaders — plus an on-demand library of past sessions. - [On-Demand Webinars](https://www.ada.cx/events/on-demand/all/): Full archive of Ada's on-demand webinars on AI customer service strategy, voice AI, knowledge management, team building, and more. ### On-Demand Webinars - [New Research on AI for CX: What Consumers Want, What Enterprises Prioritize and Where the Gap is Growing](https://www.ada.cx/event/on-demand/new-research-on-ai-for-cx-what-consumers-want-what-enterprises-prioritize-and-where-the-gap-is/): Based on Ada's 2026 global survey, this session explores how AI-powered CX expectations are evolving and how organizations are navigating a maturing category. - [On the Line: How enterprises make voice AI agents work at scale](https://www.ada.cx/event/on-demand/on-the-line-how-enterprises-make-voice-ai-agents/): Leaders from Branch and Ancestry share how enterprises are deploying AI-powered voice that delivers real business impact. - [Product Town Hall Spring 2026](https://www.ada.cx/event/on-demand/customer-product-town-hall-spring-2026/): A first look at Ada's latest product updates — whether you're optimizing your setup or scaling your ACX program, walk away with practical next steps. - [One experience, every channel: How leading brands expand without breaking CX](https://www.ada.cx/event/on-demand/one-experience-every-channel-how-leading-brands-expand-without-breaking-cx-webinar-part-1/): Industry leaders share how they scale AI-powered service across every channel without creating silos. - [Phase Zero: How to build the business case for upgrading to an AI Voice agent](https://www.ada.cx/event/on-demand/on-demand-phase-zero-how-to-build-the-business-case-for-upgrading-to-an-ai-voice-a/): A practical framework for building executive buy-in and ROI models for AI voice agent investments. - [ACX Episode 4: Crafting a smarter knowledge base for AI customer service](https://www.ada.cx/event/on-demand/crafting-a-smarter-knowledge-base-for-ai-customer-service/): Learn how to structure and optimize your knowledge base so AI agents can resolve more and keep customers happy. - [ACX Episode 3: Aligning your org on AI customer service strategy](https://www.ada.cx/event/on-demand/aligning-your-org-on-ai-customer-service-strategy/): Learn how to build the internal alignment and support needed to execute a successful AI customer service strategy. - [The Future of Customer Service: Generative AI in 2025](https://www.ada.cx/event/on-demand/the-future-of-customer-service-generative-ai-in-2025/): Ada and Microsoft share the latest data and predictions on how AI is reshaping customer satisfaction, workforce dynamics, and operational efficiency. - [ACX Episode 2: Building high-impact AI customer service teams](https://www.ada.cx/event/on-demand/building-high-impact-ai-customer-service-teams/): How to recruit AI-ready talent and structure your team to deliver real customer service results. - [Intro to ACX: The framework to accelerate AI maturity in customer service](https://www.ada.cx/event/on-demand/intro-to-acx-the-framework-to-accelerate-ai-maturity-in-customer-service/): Introduces the Ada ACX program — a framework for assessing AI maturity and getting more from AI in customer service. - [Assessing the total cost of ownership for building an AI Agent](https://www.ada.cx/event/on-demand/assessing-the-total-cost-of-ownership-for-building-an-ai-agent/): Breaks down the key factors to consider when making a build vs. buy decision for AI customer service. - [Addressing the unique challenges of SaaS customer service](https://www.ada.cx/event/on-demand/addressing-the-unique-challenges-of-saas-customer-service/): A fireside chat with Epos Now on transitioning from a scripted chatbot to an AI agent in a SaaS context. - [Understanding and preventing AI agent hallucinations](https://www.ada.cx/event/on-demand/understanding-and-preventing-ai-agent-hallucinations/): How to overcome hallucinations and build a more trustworthy, accurate AI agent for customer service. - [How to master AI customer service across all channels](https://www.ada.cx/event/on-demand/how-to-master-ai-customer-service-across-all-channels/): What exceptional omnichannel customer service looks like and how AI agents can help deliver it. - [How to interview AI Agents for customer service](https://www.ada.cx/event/on-demand/how-to-interview-ai-agents-for-customer-service/): A structured framework for evaluating AI agents in demos — finding the right fit, not just the right price. - [From human-first to AI-first customer service](https://www.ada.cx/event/on-demand/from-human-first-to-ai-first-customer-service/): What AI doing the work of hundreds of employees actually means for customer service teams and operations. - [The ChatGPT opportunity: Bringing generative AI to customer service](https://www.ada.cx/event/on-demand/the-chatgpt-opportunity-bringing-generative-ai-to-customer-service/): How Large Language Models can be leveraged to more efficiently drive customer service resolutions. - [How to leverage generative AI for customer service automation](https://www.ada.cx/event/on-demand/how-to-leverage-generative-ai-for-customer-service-automation/): What CS leaders need to consider when applying generative AI to customer service without clear risk planning. ## Resources - [Resource Library](https://www.ada.cx/resources/): Access expert guides, reports, and webinars on AI customer service for enterprise. ### Reports - [Agentic CX in 2026: What Consumers Expect and Most Enterprises Miss](https://www.ada.cx/research/agentic-cx-in-2026/): Ada's 2026 global research report on the gap between consumer AI expectations and enterprise AI readiness — data on what customers want from AI agents and where most organizations fall short. - [Forrester: 2025 Customer Service Predictions](https://www.ada.cx/resources/report/forrester-2025-customer-service-predictions/): Discover the transformational AI trends that will reshape customer service across industries. - [The Future of Customer Service in 2025: Generative AI Trends and Insights](https://www.ada.cx/resources/report/the-future-of-customer-service-in-2025-generative-ai-trends-and-insights/): Understand the challenges and opportunities of AI adoption in customer service organizations, from leadership alignment to global scalability. - [Analyst Report: 3 Trends Shaping Contact Centers in 2024 and Beyond](https://www.ada.cx/resources/report/analyst-report-three-trends-shaping-contact-centers-in-2024-and-beyond/): Your roadmap to leveraging AI agents as a strategic tool to modernize customer service at contact centers. - [Forrester Study: 408% ROI for Companies Using Ada](https://www.ada.cx/resources/report/forrester-total-economic-impact/): Discover how Ada's AI customer service platform delivers a 408% ROI for enterprises. - [3 Trends for AI-first Customer Service in 2024](https://www.ada.cx/resources/report/ai-customer-service-trends-report-2024/): Insights and data to help CX leaders outperform the competition as AI becomes table stakes across industries. ### Infographics - [The Crushing Cost of Bad CX](https://www.ada.cx/resources/infographics/): Despite billions spent on customer service, most brands still fall short of expectations. - [The High Cost of Email](https://www.ada.cx/resources/infographics/): Explore why email support drains resources and how AI email automation reduces cost and improves speed. - [The High Cost of Voice](https://www.ada.cx/resources/infographics/): Voice support is efficient but expensive. See how smart AI automation drives self-service, lower cost, and happier customers. ### Guides - [The Generative AI Toolkit for Customer Service Leaders](https://www.ada.cx/resources/guide/generative-ai-cx-toolkit/): A practical AI customer service guide with org charts, job descriptions, onboarding guides, risk mitigation strategies, and metrics. - [4 Knowledge Base Improvements to Accelerate the Value of AI Customer Service](https://www.ada.cx/resources/guide/knowledge-base-improvements-for-ai-customer-service/): Four actionable changes to make your customer service knowledge base more accurate, organized, and cost-effective for AI resolution. - [Ada Audit Checklist](https://www.ada.cx/resources/guide/ada-audit-checklist/): Your go-to audit sheet—everything you need to ensure a VIP experience from your AI customer service. - [Introducing the Automated Customer Experience (ACX) Department](https://www.ada.cx/resources/guide/automated-customer-experience/): Introducing the ACX Department—a specialized team that designs, monitors, and drives AI customer service as a strategic revenue generator. - [The Executive Guide to Aligning AI Customer Service Impact with Board-Level Objectives](https://www.ada.cx/resources/guide/the-executive-guide-to-aligning-ai-customer-service-impact-with-board-level-objectives/): Learn to position AI customer experience as a strategic growth driver—complete with EBR templates and ROI frameworks for executive stakeholders. - [How to Build a World-Class AI Customer Service Team](https://www.ada.cx/resources/guide/how-to-build-a-world-class-ai-customer-service-team/): Templates, role definitions, and org design to help you scale hybrid teams of AI and human agents for maximum CX impact. - [7 Key Categories for Choosing AI Technology for Enterprise Customer Service](https://www.ada.cx/resources/guide/7-key-categories-for-choosing-ai-technology-for-enterprise-customer-service/): A framework for evaluating and selecting enterprise AI customer service technology across seven critical dimensions. - [Build vs. Buy: A Guide to AI Agents for Customer Service](https://www.ada.cx/resources/guide/guide-to-building-vs-buying-an-ai-agent-for-customer-service/): Weigh the tradeoffs of building versus buying an AI agent to find the right approach for your customer service organization. - [AI Voice Agents for Customer Service](https://www.ada.cx/resources/guide/ai-voice-agents-for-customer-service/): Everything you need to know about deploying AI voice agents to modernize and automate customer service. - [Guide to Finding the Right AI Agent for Omnichannel Customer Service](https://www.ada.cx/resources/guide/guide-to-finding-the-right-ai-agent-for-omnichannel-customer-service/): How to evaluate and select an AI agent that delivers consistent, connected support across every customer channel. - [Guide to Interviewing AI Agents](https://www.ada.cx/resources/guide/guide-to-interviewing-ai-agents/): A structured framework for assessing AI agents across eight key success criteria before you buy. - [Enterprise Readiness Assessment for AI Customer Service](https://www.ada.cx/resources/guide/enterprise-readiness-assessment-for-ai-customer-service/): Evaluate your organization's readiness to adopt and scale AI customer service across enterprise operations. - [The CX Leader's Guide to Understanding AI Agent Impact on Company Objectives](https://www.ada.cx/resources/guide/the-cx-leader-guide-to-understanding-ai-agent-impact-on-company-objectives/): How to showcase AI customer service impact, secure executive buy-in, and align ACX programs with board-level business goals. - [The 5 Dimensions of AI Customer Service](https://www.ada.cx/resources/guide/the-5-dimensions-of-ai-customer-service/): Explore the five dimensions of a thriving AI Customer Experience program and how to accelerate AI maturity across each one. - [The AI Manager's Templates for Reporting on AI Agent Performance](https://www.ada.cx/resources/guide/the-ai-manager-templates-for-reporting-on-ai-agent-performance/): How to track, measure, and report AI agent success to secure ongoing buy-in and drive business growth. - [The Guide to Coaching Your AI Agent](https://www.ada.cx/resources/guide/the-guide-to-coaching-your-ai-agent/): Practical techniques for coaching your AI agent to improve resolution rates, customer satisfaction, and loyalty. - [How to Prioritize Tech Stack Investments for AI Customer Service](https://www.ada.cx/resources/guide/how-to-prioritize-tech-stack-investments-for-ai-customer-service/): How to invest in the systems that boost AI performance, CSAT, and ROI without bloating your customer service tech stack. - [3 Ways SaaS Companies Can Improve the Customer Experience with AI Agents](https://www.ada.cx/resources/guide/improve-saas-customer-experience-with-ai-agents/): Practical strategies for SaaS companies to use AI agents to resolve more customer issues and improve overall experience. - [13 Questions to Ask Before Paying for Automated Resolutions](https://www.ada.cx/resources/guide/13-questions-to-ask-before-paying-for-automated-resolutions/): Essential questions to evaluate AI agent vendors on ROI, measurement methodology, and the true value of automated resolutions. - [Guide to Automated Resolutions: Customer Service Metric vs Pricing Tool](https://www.ada.cx/resources/guide/guide-to-automated-resolutions-customer-service-metric-vs-pricing-tool/): How to evaluate and compare automated resolution claims across AI vendors to make informed, ROI-driven decisions. - [Guide to Preventing, Detecting, and Correcting AI Agent Hallucinations](https://www.ada.cx/resources/guide/guide-to-preventing-detecting-and-correcting-ai-agent-hallucinations/): Keep your AI agents accurate and trustworthy with strategies to prevent, detect, and correct hallucinations in customer service. - [Understanding the Privacy, Data, and Security Risks of AI Agents](https://www.ada.cx/resources/guide/understanding-the-privacy-data-and-security-risks-of-ai-agents/): A deep dive into the biggest generative AI security and privacy risks to help enterprises build safer, more compliant AI customer service. - [Prepare Your AI Agent for Holiday Traffic](https://www.ada.cx/resources/guide/black-friday-cyber-monday-customer-service-checklist/): A checklist to get your AI agent ready for Black Friday and Cyber Monday — automate more, improve CSAT, and handle peak traffic with ease. ### Templates - [RFP Template: Choosing AI Technology for Enterprise Customer Service](https://www.ada.cx/resources/template/rfp-template-choosing-ai-technology-for-enterprise-customer-service/): A scoring-ready Excel template with 100+ detailed evaluation questions across seven categories — ready to send directly to AI customer service vendors. ## Developer Documentation - [Ada Docs](https://docs.ada.cx/): Ada's technical documentation hub — everything needed to onboard and manage an AI agent, including platform guides, API reference, Chat SDKs, and release notes. - [Docs](https://docs.ada.cx/docs/welcome): Platform documentation covering onboarding, agent configuration, knowledge management, Playbooks, channels, testing, coaching, and reporting. - [API Reference](https://docs.ada.cx/reference/introduction/overview): Complete REST API reference for integrating with Ada — authentication, endpoints, request/response schemas, and code examples. - [Chat SDKs](https://docs.ada.cx/chat/introduction/overview): Ada's Chat SDKs for embedding AI customer service on web and mobile — JavaScript, iOS, and Android. - [Release Notes](https://docs.ada.cx/release-notes): Ada platform release notes — new features, improvements, and fixes across all channels and platform components. ## Company - [Why Ada](https://www.ada.cx/why-ada/): Learn why Ada is the enterprise standard for agentic customer service — AI-native since 2016, trusted by 350+ global brands, and built on the ACX Operating Model combining platform, practice, and expert services to help teams own their AI transformation. - [ACX Practice](https://www.ada.cx/practice/): Ada's structured methodology for enterprise AI customer service success — the ACX Blueprint, ACX Maturity Model, ACX Benchmarks, and ACX Academy, grounded in 1B+ conversations across 350+ deployments. - [ACX Experts](https://www.ada.cx/experts/): Ada's professional services and partner ecosystem, ACX Consultants, a global ACX Community, and a certified partner network including Microsoft, AWS, and Medallia — extending the capacity of enterprise CX teams. ## Competitor Comparisons - [Ada vs. Decagon](https://www.ada.cx/compare/decagon/): Learn how Ada's AI customer service platform is the proven solution for CX teams versus Decagon. - [Ada vs. Forethought](https://www.ada.cx/compare/forethought/): Learn how Ada's AI customer service platform is the best choice for CX teams versus Forethought. - [Ada vs. Kore](https://www.ada.cx/compare/kore/): Learn how Ada's AI customer service platform is the top choice for CX teams versus Kore. - [Ada vs. Ultimate](https://www.ada.cx/compare/ultimate/): Learn how Ada's AI customer service platform is the top solution for CX teams versus Ultimate.