2. Conversational AI. Chatbots and virtual agents are conversational AI integrations that handle the less complicated requests, so that customers can get help without queuing for a human representative.
With conversational AI you can offload simple tasks, like resetting passwords, checking account balances, or troubleshooting tech issues. When requests get more complex, it routes customers to the appropriate teams.
3. Generative AI. This type of AI call center integration creates on-demand content: call transcripts, summaries, translations, and action items. It provides both human and virtual agents with valuable insights from sales and support calls, helping them personalize their replies and resolve issues faster.
So, how are these CCAI solutions impacting the industry? Gartner had forecasted that conversational AI integration alone could save contact centers $ 80 billion in agent labor costs by 2026.
Add in the revenue potential from generative AI detecting upselling and cross-selling opportunities during calls and the case for CCAI becomes even more compelling.
Let’ s look at the two implementation options to make AI deliver on this promise.
BYO AI
New AI startups are launching constantly, and because of the fast-changing nature of the market, some contact centers opt for a flexible AI ecosystem that doesn ' t lock them into a single vendor.
Bring your own( BYO) AI delivers exactly that flexibility. It lets contact centers integrate their preferred AI platforms and build everything to their specifications. This gives them far more control and customization compared to bundled CCAI solutions.
Here, we are defining BYO AI as a carrier service that allows an AI vendor to build a custom integration, so that the contact center can choose their preferred AI vendor, and even swap out AI vendors at any time, while keeping their carrier of choice.
[ BYO AI ] DECOUPLES YOUR INFRASTRUCTURE FROM VENDOR LIMITATIONS... PREBUILT AI INTEGRATIONS ARE A PRACTICAL ENTRY POINT...
The key benefits are:
1. Decouples your infrastructure from vendor limitations. You ' re not waiting around for a vendor to release additional features or hoping their product roadmap aligns with your timeline. Want to switch conversational AI integration platforms as your needs evolve? Bringing your own AI vendor to a carrier that allows it is your best bet.
2. Custom AI integrations can be fine-tuned to fit your use cases. You can feed brand guidelines, company processes, support transcripts, or other industry-specific data to your CCAI. This helps you design conversations that match your business needs and reflect how your agents normally communicate.
3. Ability to architect a more secure setup. You gain greater control over data security and governance by choosing AI call center vendors that support your compliance requirements. Oversight is especially important if you’ re in a highly regulated industry or operating in multiple locations with varying data rules.
RESILIENCE
Prebuilt AI Integrations
Custom BYO AI integrations take time and resources. But not every enterprise has the capacity to take that on. Prebuilt AI integrations are a practical entry point for those that need CCAI solutions up and running without extensive customization.
The main benefits are:
1. Lower development time. Building AI from scratch usually keeps IT busy for weeks or months. But when you pick the prebuilt route, development teams handle the reduced workload, and they can set up AI in the contact center in a fraction of the time.
2. Faster deployment for standard use cases. Since the tech hurdles are minimal, you can launch common AI workflows in hours and test, measure, and optimize them quickly.
3. Less overhead than custom builds. You benefit from lower upfront costs and more predictable ongoing expenses that help you stay on budget.
Both BYO and prebuilt AI options have merit, but there’ s still more to think through. Can your CCAI solution handle high traffic? How much bandwidth will your CCAI consume? And what happens if the power goes out or a data center fails?
CCAI RISK PREPAREDNESS
Integrating AI, whether BYO or prebuilt, in the contact center is one thing. Keeping it running under real-world conditions is a different ball game. Reality check time! CCAI is susceptible to new and evolving outages and interruptions. Did you know CCAI could put a strain on your infrastructure, too?
AI is a bandwidth hog that can put strain on your infrastructure. By 2030, AI workloads could account for roughly 70 % of the demand, driving a near-tripling of global data center growth. The challenge? 71 % say their data centers aren’ t yet ready to meet current AI demands.
Being hosted in data centers, unsurprisingly, also means that CCAI is at risk from extreme weather events, such as floods, wildfires, and cyclones / hurricanes.
CONTINUED ON PAGE 42
DECEMBER 2025 39