The modern CCaaS strategy: Five steps for turning efficiency into growth

Abby Spahich
Senior Director of Digital CX

Key takeaways
- Brands need to stop measuring the success of their CCaaS strategy by how many calls they deflect. Instead, they need to measure success by revenue opportunities and customer intelligence captured.
- Reducing agent burnout isn’t about lowering call volume. Rather, it’s about using AI to automate disjointed Alt-Tab tasks, such as after-call work (ACW), to reduce agents’ cognitive load.
- Brands’ best competitive edge now lies with agentic AI. Priority needs to shift from models that talk (LLMs) to models that autonomously act (LAMs).
- Smart CCaaS strategies use empathy strategically, setting guardrails that intentionally define where automation ends and high-value human intervention begins.
- AI personas aren't just for bots — use them to train your human agents up to 50% faster in safe, simulated environments.
If you’re still looking at your contact center through the lens of a cost-center model, I have tough news. Your strategy is already a legacy artifact.
For years, the contact-center-as-a-service (CCaaS) promise was simple: Automate to save. Customer experience (CX) leaders chased deflection as if it were the only metric that mattered.
But as we move deeper into the era of AI, we’re seeing the fallout of that narrow vision. Customers are stuck in circular chatbot loops, and human agents are drowning in the Alt-Tab dance between disjointed systems.
Efficiency is no longer the ceiling, it’s the floor. The brands winning the moments that matter right now are those treating their CCaaS ecosystem as a growth engine — a place where data, agentic AI and human empathy collide to drive actual revenue.
Here’s how you pivot your CCaaS strategy from a maintenance mindset to a growth-first vision.
1. Let go of legacy thinking: Focus on growth over savings
Most CX leaders look at their CCaaS strategy and ask, “How much money can this save me?” That’s the wrong question. The real question now is, “How can this interaction drive the next sale?”
We need to stop viewing the contact center as a place for fixing problems and start viewing it as a massive repository of customer intelligence. When you use AI to analyze every interaction in real-time, you aren’t just closing tickets. You’re identifying churn signals and expansion opportunities that your marketing team hasn't even seen yet.
In the following clip, I break down why the cost-center model is dead and how to use your customer data to fuel growth.
According to a 2026 Gartner survey, 91% of customer service leaders are under pressure to implement AI, but the goal is shifting away from back-office efficiency toward improving customer satisfaction and first-contact resolution (FCR).
Of those CX leaders who implement AI-driven CCaaS strategy, the real winners won't just pocket savings — they’ll reinvest them into total experience (TX) strategies that link customer and employee satisfaction.
2. Relieve agent burnout by automating after-call work (ACW)
We talk a lot about the customer experience, but we often ignore the cognitive tax agents pay. Contact center burnout isn’t just about high call volumes. It’s about the mental load of navigating five different windows while trying to sound human.
This reality underscores why CX Today concludes “agent well-being has become a CX performance issue, not an HR one.”
To maximize your CCaaS ROI while saving agents’ sanity, start by automating the boring stuff. AI note-taking and automated after-call work (ACW) are the lowest-hanging fruits with the highest impact. When the AI handles the documentation, the agent can actually listen to the customer.
The brands implementing this approach are already reaping the benefits. Case in point: TELUS, parent company of TELUS Digital, reduced ACW by 23% through AI-powered contact center transformation.
Watch this video to see how AI note-taking tools kill the Alt-Tab dance and let agents breathe.
When you reduce agents’ cognitive load, you don't just get faster calls — you get better outcomes. A burnt-out agent cannot deliver a premium experience.
3. Put up empathy guardrails: Know where automation begins and ends
This is where the modern CCaaS strategy gets nuanced. We shouldn’t automate everything just because we can. A successful CCaaS strategy requires applying Humanity-in-the-Loop principles.
Think of it as a strategy of empathy guardrails. You need to be creative about where AI begins and ends. For a simple password reset or an order status update? Let a bot handle it. But for a customer who is calling about an urgent medical case or a high-value retention conversation? That requires a human soul.
Learn how to break down high-value versus low-value interactions in the next video. The goal isn’t 100% automation, it’s 100% appropriate routing.
The strategy is simple: Use AI to handle the mundane tasks so your humans are freed up for the moments that matter. If your bot is trying to handle a sensitive escalation, you aren't being efficient — you’re being reckless with your brand.
4. Replace talking with doing: Deploy large action models (LAMs)
The biggest shift we’re seeing right now is the move from AI that just chats to agentic systems that can plan and execute. For the last two years, we’ve been obsessed with large language models (LLMs) that can talk. That’s great, but talking alone doesn’t resolve a customer’s issue.
Enter large action models (LAMs).
Live from Genesys Inspire, I dive into LAMs and explain why doing is the new talking in the world of CX.
LAMs power agentic AI agents that don’t just explain a policy, they execute it. These agents can:
- Autonomously identify goals from a conversation
- Create a plan to resolve the customer’s issues
- Execute the plan and follow up, no human required
That means navigating digital interfaces and triggering workflows across your backend systems autonomously. If a customer needs to reschedule a complex multi-leg shipment, a LAM doesn't just tell them how — it goes into the system and does it.
5. Upskill your frontline with AI personas
Finally, you have to modernize your training. You can’t put human agents in 2026 through a 2015 training program and expect them to thrive.
AI lets us build a safe space for failure. By using tools like the Fuel iX™ Agent Trainer, you can create AI personas that simulate difficult, angry or complex customer scenarios. This AI-powered sandbox allows new hires to practice de-escalation and learn next-best action (NBA) strategies with immediate feedback before they ever take a live call.
See how AI simulations train agents up to 50% faster while improving retention.
The takeaway: Accelerating proficiency doesn’t just make agents more competent, it also makes them stick around longer.
Build and implement your CCaaS strategy
Moving from a legacy mindset to an agentic, growth-first model doesn't happen overnight. It requires a roadmap that balances technical capability with human ethics.
The effortless experience we’ve all been chasing is finally within reach, but it requires us to stop obsessing over cost-savings and start obsessing over agent empowerment and autonomous execution.
At TELUS Digital, we aren't just service providers. We’re advisors for the future of tech in the contact center. We spend our days thinking about what happens when the next big thing becomes the current standard.
Is your CCaaS strategy ready for the agentic era? Let’s build your 2026 roadmap together. Reach out to get started.



