AI in Customer Experience: Not Quite There Yet
Let's dive into what TELUS Digital and Ryan Strategic Advisory's survey reveals: enterprises are tossing AI into their customer experience (CX) operations like confetti, yet they're fumbling when it comes to actually tracking if it’s doing any good. Most are relying on human agents propped up by AI, with a solid 61% rolling this way for tech support.
But Here's the Catch: AI Gets Thrown in the Deep End
Despite the heavy use, only 32% have bothered with AI-powered quality assurance (QA) and coaching tools. It's like putting AI in the driver’s seat but forgetting to install the rear-view mirror. Enterprises are missing out on crucial feedback that links AI investments to tangible business outcomes. Bad news if you’re looking for returns on AI cash splashes.
- Technical support: 61% use AI assistance
- Revenue generation: 58% rely on AI-backed agents
- Complaint management: Over half are AI-assisted here
Dialing in on the Performance Gap
You’ve got companies running AI across 12 different CX capabilities. They're mixing these gadgets in ways you wouldn't believe—native CCaaS, third-party tools, and even custom in-house solutions. Yet, only a meager portion slap any QA ribbons on their operations.
"What’s telling is that the QA layer and coaching infrastructure are lagging behind," says Peter Ryan of Ryan Strategic Advisory.
Chasing AI ROI: The Strategic Blind Spot
The Miss on Operational Needs
Only 7% of organizations are cobbling together AI solutions in-house. Meanwhile, 56% are eyeing AI copilots to assist agents. The sad reality? They're clearly not seeing the forest for the trees—without effective monitoring, any investment is like a shot in the dark.
- Planned investment in AI copilots: 56%
- Actual deployment: 38% using AI for agent guidance
Financial Commitment and Where It Falls Short
Organizations are shelling out big time. More than half are splurging over $10 million annually on CX delivery. That’s not pocket change, and with 40% hiking their budgets, there's a heavy expectation for performance redemption.
Still, operational priorities like consistency and cost reduction trump basic efficiency goals. Average handle time reduction is sitting pitifully low at 19%, which is a head-scratcher in an industry that loves its efficiency buzzwords.
Turning Investment into Performance
Enter the TELUS Digital playbook: their SMART CX framework. It's all about connecting the dots—getting every component of CX, from strategy to tech, humming in unison. They know a thing or two about transforming disjointed AI deployments into a coherent, profitable symphony. But it takes more than decked-out tech; you need the right mindset and tools to circle back on those critical performance insights.
In the end, the takeaway is clear: fancy gadgets and systems are great, but without the infrastructure to evaluate their impact, it's a ride to the bottom. Enterprises keen on not simply deploying but mastering AI should think hard about coaching, QA, and whether their AI is just a set piece or a team player driving results.
