The modern contact center is undergoing a massive transformation. As self-service and basic AI deflect simple, transactional inquiries, live agents are left handling an unprecedented volume of highly complex, emotionally charged interactions. In fact, Gartner now predicts that half of the companies that cut customer service staff because of AI will rehire them by 2027, a sign that human agents remain core to handling the issues machines can't.
The old models of Workforce Management and Quality Assurance are straining under the weight of this new reality. Data from Forrester indicates that 63% of contact centers are currently dealing with staffing shortages, while Gallup research shows that rising interaction complexity and agent burnout are directly undermining service quality.
Despite these high-stakes, nuanced interactions, most organizations are still relying on legacy skills-based routing and training strategies. The old way of managing an agent’s capabilities—where supervisors manually review a tiny fraction of calls and then update a handful of skills into rigid 1-to-5 proficiency buckets—simply can’t keep pace. It forces contact centers to route calls using guesswork, resulting in frustrated customers, burnt-out agents, and missed Service Level Agreements.
But here is the good news: you already have the data needed to generate a live, real-time view into what’s actually going on.
Enter Radiant Cortex, Macorva’s newest AI engine designed to turn your billions of conversations into a live map of who is actually good at what. By layering an always-on intelligence engine over your contact center, Radiant Cortex transforms how you route, schedule, and upskill your workforce.
Historically, agent skills and proficiencies have been hopelessly lagged. In a traditional setup, QA teams might evaluate just 1% to 2% of an agent’s total interactions—a massive blind spot that firms like McKinsey note leaves enormous compliance and coaching gaps completely invisible. Based on that microscopic sample size, a manager manually updates the agent’s profile, dropping them into generic 1-to-5 proficiency buckets for a maximum of 10 to 20 broad skills (like "Billing," "Tech Support," or "Returns").
But human capability isn't static, and customer intents aren't that simple. As agents encounter new issue types, their actual skill profiles shift dynamically. Relying on manual updates, quarterly reviews, and generalized proficiency buckets ignores the granular reality of what your agents do well on a day-to-day basis. When you route complex customer intents based on stale, manually updated data, Average Handle Time (AHT) balloons and First Contact Resolution (FCR) plummets.
You don't need to implement a massive new data collection apparatus or endure a six-month onboarding cycle to understand your agents' true capabilities. You already have the data in the form of everyday interactions.
Because Radiant Cortex works by pointing its GenAI engine directly at your existing chat and voice transcripts, the time-to-value is incredibly fast. There are no new tools to install, no manual tagging required, and no agent training needed. The moment you plug it in, Cortex begins mapping your current state.
Within your very first week, Radiant Cortex instantly surfaces hidden microskill gaps and emerging contact drivers. Every single interaction gets broken down by topic and skill, and is then objectively scored by GenAI. Instead of analyzing 2% of calls, you are analyzing 100%.
Rather than a static profile limited to 20 generic skills, you instantly get a live, breathing profile of every agent—rating them across hundreds or even thousands of specific microskills based on their actual handled interactions. Because these profiles refresh after every single call, you are never coaching or routing from stale data.
Armed with this granular, transcript-backed data, you can drastically improve your routing precision. Radiant Cortex’s Dynamic Routing API matches complex customer intents to the best available agent in milliseconds.
Instead of routing a frustrated customer to a general "Tier 1 Billing" queue based on a manager's subjective "Level 4" proficiency rating, Cortex routes them to the specific agent who boasts a 99% resolution rate for that exact billing error. This ensures you always know who your strongest agent is for any specific topic, driving up CSAT while keeping AHT in check.
Traditional scheduling asks: Do we have enough Full-Time Equivalents (FTEs) logged in? Radiant Cortex asks: Do we have the right competencies logged in?
Predictive scheduling requires understanding agent supply versus caller demand, topic by topic. Radiant Cortex allows you to find gaps in your schedules based on actual, proven competency rather than just raw headcount. Best of all, because it maps skills instantly, you know exactly what microskills you need to train more people on before a deficit causes your queues to spike. When an emerging issue arises—like a bug in a new product release—Cortex triggers targeted training updates the exact moment the trend appears.
As organizations rush to deploy conversational AI to handle tier-one support, many are flying blind. How do you know if the bot is actually achieving better resolution than a human?
Radiant Cortex allows you to compare AI to live agents side-by-side for every single topic. By benchmarking bots and humans on cost, containment, and resolution, you can deploy AI only on the topics where it clearly wins.
And when a bot inevitably stalls out on a complex intent? Radiant Cortex ensures smarter bot hand-offs. Deloitte reports that while AI deployments can drastically reduce support costs, clunky handoffs trap customers in automated loops and severely damage brand trust]. Instead of dropping the customer into a random pool when the AI reaches its limit, Radiant Cortex escalates the conversation directly to the live agent with the strongest track record on that exact issue. It’s a seamless transition that saves time and rescues the customer experience.
The contact center is the frontline of your customer experience, and the tools you use to manage it should be as dynamic and intelligent as the conversations happening within it. By moving away from manual proficiency buckets and embracing real-time, AI-driven skills intelligence, organizations can stop guessing and start optimizing from day one. Radiant Cortex gives you the power to route smarter, schedule for competency, deploy AI effectively, and stop service level dips before they happen.
Ready to see how Radiant Cortex can map your agents' skills to better outcomes in just one week? Contact us today for a demo of Radiant Cortex.