Conversational CX Maturity

Turning automation into orchestration

We studied 200 CX leaders across 6 countries to find out what separates brands that automate from brands that truly connect. The answer isn’t more technology. It’s how you use what you’ve already built.

Woman using a smartphone outdoors next to a promo message offering 10% off with code “10MORE,” with messaging channel icons.

96% of organizations now automate customer communications.

Channels are live. Chatbots are deployed. The tech stack keeps growing.

96%

of organizations automate customer communications

53%

have adopted Agentic AI for use case automation

60%

say that they have centralized customer data

50%

are fully API ready for automation

71%

of AI adopters cite user trust as a top challenge

Most organizations stop at surface-level automation. They send a booking confirmation but don’t offer in-chat rescheduling.
They collect feedback but don’t route it by sentiment. The use cases are live but journey depth isn’t.

That’s where the opportunity lives. The brands pulling ahead aren’t adopting more tools. They’re building richer experiences within the use cases they already run, turning basic automations into connected, multi-step journeys that customers actually feel.

This report maps exactly where that opportunity sits, by region, by industry, and by use case, so you can find it in your own operation.

What CX maturity actually means

CX maturity about more than how many tools you’ve adopted or channels you’ve switched on. It’s measured across three dimensions that work together:

Journey depth

How much of the customer journey is automated

Journey maturity looks at how much of the customer journey is currently automated on messaging channels. Any use case from first touch discovery or onboarding or re-engagement can be automated on mobile chat. Understanding a brands starting point gives insight on what can be improved upon.

Woman checking her phone beside a WhatsApp bank alert about suspicious credit card activity, with options to review, block card, or contact an agent.
Woman at the beach using a phone beside a WhatsApp alert to top up an eSIM plan, with data package options.

Sophistication

The depth of automation

How rich are the automated use cases? A confirmation SMS and a full in-chat experience with booking, rescheduling, reminders, and agent escalation both count as “appointment booking.” The customer experience is worlds apart. The Sophistication score measures how far you’ve built within each use case, and what technology you use to power that automation, from rule-based to Agentic AI.

System potential

The infrastructure that determines what’s possible

System Potential is exactly that – what can we achieve with the tech stack and tools brands already have implemented and are using. This looks at the capabilities of back-end systems, API readiness of tools, and how well connected they are to data and channels in order to build truly seamless experiences.

Man on a couch using a smartphone beside a WhatsApp confirmation of a filed complaint and request to stop promotional messages.

Three findings that redefine what “automated” means

Depth beats breadth

A brand that has automated many simple use cases, broadcasts messages, and doesn’t use personalization is actually behind the brand that has one well developed multi-step use case on a digital channel – the potential for growth is higher in the latter.

Mature brands layer, not replace

42% of organizations running advanced Agentic AI still use rule-based automation alongside it. It’s a sign of maturity. Simple triggers like password resets don’t need AI. Complex, multi-step journeys do. The smartest brands match the right technology to the right interaction.

Data is the key to growth

Organizations with centralized data are more likely to adopt advanced AI than those with fragmented systems. Channels, automation, and AI all compound faster when they run on a single data layer. For most brands, consolidating data is the single highest value move available.

What you’ll find inside

The three dimensions of CX maturity

How journey depth, system potential, and sophistication combine to separate surface-level automation from genuine orchestration.

The automation depth gap

Why most organizations stop at basic implementations within each use case, and what the full spectrum looks like from simple notifications to orchestrated journeys.

The technology and AI landscape

Where Agentic AI, Hybrid AI, and rule-based automation each fit, and why the most mature brands layer all three.

Woman on a sofa using a smartphone while a dog looks on.

Regional benchmarks

How Europe, the Americas, and APAC compare on channel integration, data infrastructure, and technology adoption, with distinct strengths and blind spots in each market.

Industry benchmarks

Where finance, retail, and telecommunications stand on the maturity spectrum, and which sector is closest to true orchestration.

A maturity roadmap

Four steps, from data consolidation to selective AI deployment, that turn automation into connected customer experiences.

Download the report

See where the opportunity is. Then find out where you stand.

Download the full report to get the complete data on CX maturity across regions, industries, and technology tiers. Includes benchmarks, use case breakdowns, and a four-step maturity roadmap.