The first wave of AI customer experience proved what's possible. Today, organizations are moving beyond traditional chatbots that answer questions to AI agents that can execute complex workflows, take action, and adapt as conversations evolve.

The next challenge is operational.

As organizations expand AI across more channels, markets, and increasingly complex customer journeys, they need more than new capabilities. They need a way to operate agentic AI for customer service with confidence. That means improving automated resolution without sacrificing control, scaling globally without compromising quality, and giving security, compliance, and ACX teams the visibility they need to continuously improve.

That's exactly where we've been investing.

We've expanded Ada’s agentic AI platform across every layer of the product: Playbooks enhancements, native AI generation in 60 languages, images in automated conversations, enterprise audit logging, and APIs for extending Ada into any customer experience.

Here’s how helping organizations operate agentic customer experience (ACX) at scale gives ACX teams the ability to build, manage, and continuously improve AI agents with greater confidence.

Driving deeper resolution: Building AI agents for more complex customer journeys

Resolving simple questions is no longer the benchmark for enterprise AI. The biggest opportunity now lies in automating the complex, multi-step customer journeys that traditionally require human agents .

Those conversations rarely follow a straight path. Customers change their minds, ask unrelated questions, or revisit information they've already shared. Supporting those moments without losing context is essential to improving automated resolution.

Playbooks enhancements

As AI agents take on more responsibility, success is no longer defined by whether they can produce the right answer. It's defined by whether they can execute the right process—consistently, quickly, and reliably. That's where enterprise AI deployments often break down.

Complex and long-horizon customer journeys introduce three challenges:

1. Keeping workflows fast,
2. Ensuring they execute reliably, and
3. Adapting when customers inevitably go off script.

Playbooks is designed to address all three .

Playbooks’ execution framework breaks down complex workflows into smaller, focused steps, running on only the context it needs, with every use of Ada's Reasoning Engine™ applied intentionally. The result is faster execution, stronger adherence to authored workflows, and more reliable resolution across complex customer interactions.

This framework also helps AI agents handle the moments where workflows usually break:

• When a customer asks an unrelated question, the AI agent can answer using approved knowledge and seamlessly return to the workflow.
• If they correct information from earlier in the conversation, the workflow returns to the appropriate step without starting over.
• When the conversation shifts entirely, the AI agent can transition to another workflow or handoff while preserving context.

Images in responses

Some customer questions are easier to answer visually than with text alone.

Whether you're showing a customer where to click, walking them through a product interface, or illustrating a troubleshooting step, images can reduce confusion and help resolve conversations faster.

ACX teams can add images directly to Playbook steps, including:

• Delivering images alongside text responses across Voice via SMS, Messaging, Email, Facebook Messenger, and WhatsApp,
• Adding editable alt text for accessibility, and
• Preserving images in handoff context so human agents know what the customer has already seen.

ACX teams choose exactly which image appears at each step, creating consistent, brand-aligned customer experiences at scale. Images also include editable alt text and remain visible throughout any subsequent handoff, giving human agents full context if the conversation needs to continue.

Better workflows improve automated resolution, but operating AI at enterprise scale also requires visibility into how those experiences change over time.

Empowering ACX teams: Improving visibility, governance, and control

As AI agents take on a greater role in customer experience, ACX teams need more than performance metrics. They need visibility into what changed, when it changed, and how those changes impact customer outcomes.

Audit Log

When automated resolution changes, finding the root cause shouldn't require piecing together timelines manually. Whether you're investigating a performance shift or responding to a compliance review, visibility into your AI operations is essential.

Audit Log captures every change made across your Ada environment:

• Knowledge, Actions, Playbooks, and Processes updates
• API key and integration changes
• Team permission changes
• MCP server connections
• Actor, timestamp, event type, and source for each event

That data can be streamed directly into existing SIEM, SOC, and GRC platforms through APIs and webhooks, making Ada part of your organization's broader observability strategy.

For security and compliance teams, Audit Log provides the enterprise-grade governance needed to confidently scale AI across the business.

For ACX teams, the value goes beyond compliance. Audit Log makes it easier to diagnose why automated resolution changes by showing exactly what changed and when. ACX teams can quickly correlate operational updates with business outcomes, helping identify issues faster and continuously improve how their AI agent performs.

Powering richer customer experiences: Scaling AI across languages and channels

As organizations expand AI across new markets and customer touchpoints, they need experiences that feel just as natural and personalized in every language, channel, and interaction.

The enhancements detailed below help ACX teams deliver consistent customer experiences globally while giving developers greater flexibility to extend Ada across their existing technology stack.

Fluent: Native AI generation in 60 languages

For global enterprises, supporting multiple languages has often meant compromising on quality. Translation layers can dilute brand voice, miss cultural nuance, and create inconsistent customer experiences across markets.

Ada's Reasoning Engine™ generates responses natively in 60 languages while retrieving knowledge in its original language. Unlike traditional approaches, Ada generates responses natively without relying on a translation layer, ensuring customers receive the same quality, guardrails, and reasoning regardless of the language they choose.

For ACX teams, that means one AI agent can deliver consistent, high-quality experiences across global markets without maintaining separate deployments, quality programs, or knowledge bases.

Conversations API enhancements

The first response sets the tone for every conversation. When an AI agent doesn't know a customer's language, account context, or reason for reaching out, the experience starts with unnecessary friction.

The Conversations API allows you to embed Ada's AI agent anywhere your customers are. You can build a custom experience while Ada powers the reasoning, actions, and resolution. The Conversations API provides two capabilities: pre-greeting context and secure metadata.

Pre-greeting context allows organizations using the Conversations API to attach customer metadata before a conversation begins. Secure metadata enables authenticated experiences without compromising security.

Together, these capabilities let organizations:

• Personalize conversations from the very first message using language, locale, campaign, and customer metadata
• Support authenticated experiences with sensitive data such as session IDs, authentication tokens, and personal information
• Protect sensitive information through automatic dashboard redaction, LLM exclusion, and time-bound deletion
• Deliver more personalized and secure customer experiences across custom channels

Handoffs API

Every enterprise has a unique technology ecosystem. While Ada offers pre-built integrations with leading contact center and helpdesk platforms, some organizations need the flexibility to connect with proprietary systems or build custom workflows.

The Handoffs API provides a documented, self-service way to integrate Ada with any contact center, helpdesk, or custom endpoint. Organizations can:

• Trigger handoffs
• Exchange messages and files
• Transfer conversation context
• Return control to the AI agent when the interaction is complete

The result is greater flexibility for developers to build integrations without relying on custom implementation work and more seamless customer experiences—no matter where conversations begin or end.

What this adds up to

Ada's 2026 Agentic CX Report found that 92% of organizations expect to increase investment in AI customer service over the next year. As those programs grow, the challenge shifts from getting AI agents into production to operating them with precision, confidence, and at enterprise scale.

Whether it's improving workflow execution with Playbooks, giving ACX teams greater visibility through Audit Log, or expanding personalized experiences across languages and channels, these updates are designed to help organizations move from AI deployment to operational excellence.

As organizations continue building agentic customer experiences, we'll keep investing in the capabilities that help ACX teams build, operate, and continuously improve AI agents with confidence.

There's more to come.