Beyond FAQs: How leading brands automate complex customer service workflows with AI
Resolution is the next frontier of CX. Companies making the most progress are approaching that challenge differently. Here's how three brands are doing it.
Engage customers across web, mobile, SMS, and social messaging with fast, consistent experiences that improve satisfaction and build loyalty.
Deliver consistent, always-on AI customer service across chat, SMS, WhatsApp, social, and in-app messaging.
AI agents identify intent, retrieve real-time data, and follow your SOPs dynamically to execute multi-step workflows, without relying on script-based paths.
Ada’s unified Reasoning Engine™ powers shared intelligence across messaging, email, and voice. Manage your AI agent in one place, reduce operational complexity, and deliver consistent, brand-aligned experiences everywhere.
”We recognized that our customers needed support on demand, whenever and wherever it suited them. With that in mind, we expanded our support across chat, social platforms, and even WhatsApp, giving customers the flexibility to reach us through the channels most convenient for them.”
Handle complex tasks with structured workflows. Playbooks let your AI agent follow multi-step SOPs using real-time data, without relying on rigid, scripted frameworks.
Intelligently route customers to human agents at the right moment while providing full context and customer data.
Provide tailored service in 60+ languages with a single AI agent. Meet customers in their preferred language, wherever they are.
Refine tone, responses, and decisions through targeted feedback. Improvements are instantly applied across every channel to drive stronger performance.
Connect Ada with business-critical systems like Zendesk, Salesforce, and Twilio to automate actions, personalize responses, and unlock faster resolution across every channel.
”We’re only at the beginning of this transformation, yet the potential is already undeniable. Agentic AI is poised to redefine how support is delivered—for us at BHN and for our customers—for good.”
Resolution is the next frontier of CX. Companies making the most progress are approaching that challenge differently. Here's how three brands are doing it.
Ada's Messaging product supports chat, in-app messaging, web widgets, WhatsApp, SMS, Messenger, Instagram, and custom channels. Every channel runs on the same Reasoning Engine™ and the same Playbooks—there's no need to build or maintain separate AI agents per channel.
Configure your AI agent logic once and it runs consistently across every messaging touchpoint your customers use.
A basic chatbot follows a script, matching keywords to pre-written responses and failing the moment a customer asks something unexpected. It's a good fit for simple FAQs, but little else.
Ada-powered AI agents understand intent, handle ambiguous or multi-part questions, take action on the customer's behalf, and resolve complex issues autonomously. For the customer, that's the difference between getting their problem solved and being handed off to a human after the chatbot falls short.
For the enterprise, it's the difference between a chatbot that contains conversations and an AI agent that resolves them.
Across messaging channels, Ada-powered AI agents run on the same Reasoning Engine™, so the same policies, Playbooks, and safeguards govern every interaction, regardless of which channel a customer uses.
Ada's memory works at two levels:
Ada-powered AI agents are fluent in 60 languages across messaging channels. For global enterprises, a single deployment handles customer conversations in each market's language, without separate configurations per region.
Language detection is automatic: the Ada-powered AI agent identifies the customer's language at the start of the conversation and responds accordingly.
Ada gives enterprises a unified view of AI agent performance across every messaging channel.
Out of the box, Ada provides granular conversation-level detail alongside key metrics like automated resolution rate, CSAT, average handle time, escalation frequency, conversation volume, and cost per resolution, all broken out by channel, language, region, and interaction type. For teams managing messaging across multiple touchpoints, that means one dashboard instead of fragmented reporting per channel.
Ada's MCP Server takes this further by bringing performance analytics directly into your preferred AI workspace like Claude, ChatGPT, or others. By combining CX data with revenue metrics, CRM data, and insights from any other business system, teams can make faster, smarter, and more business-aligned decisions.
Ada offers stringent data security and privacy protections across all messaging channels, including SOC 2 Type II, HIPAA, GDPR, PCI DSS, and AIUC-1 certifications, with zero data retention (ZDR) across all LLM providers, meaning customer data is never stored with LLM providers or used to train third-party AI models.
PII is redacted according to your configured data policies and never exposed in analytics dashboards or third-party systems. All messaging interactions are logged at the conversation level for audit and compliance purposes, with retention schedules governed by your enterprise agreement. For organizations in regulated industries, Ada's security documentation is available as part of the procurement process.
For more information, check out our trust and safety page.
Yes. Ada integrates with Salesforce, Zendesk, Twilio Flex, Genesys, NICE CXone, and custom-built platforms through the Developer Toolkit.
For messaging escalations, that means when an Ada-powered AI agent hands off to a human, the full conversation history, customer data, and context transfer into your helpdesk automatically, so the human agent picks up where the AI agent left off without asking the customer to repeat themselves.
Integration depth determines handoff quality: the more connected Ada is to your systems, the richer the context transferred at every escalation.