Most contact center teams are asking the wrong question about AI: “Will AI fully replace live agents?”
It's a fair question, but it’s not the one driving real transformation. After all, implementing conversational AI can take years and significant resources to do correctly.
At Anaplan’s Connect event in New York, a different question came up repeatedly in my conversations with contact center leaders: “How can AI help me make high-stakes decisions faster and with more confidence?”
They want to know how to use AI to predict, plan, and provide consistently high-quality customer service experiences faster. Not just automate interactions.
The planning gaps for contact centers
Contact center leaders are tasked with a monumental balancing act between cost and experience, efficiency and empathy, speed and quality.
At the same time, they’re sitting on more data than ever before. Every interaction, every channel, every AI agent generates signals that should make planning more precise. Instead, many teams are overwhelmed by it. According to Gartner, only 33% of organizations feel they are effective at using data in their workforce planning.
Much of that comes down to how workforce planning is still done today. Siloed spreadsheets and bloated processes struggle to keep pace in a multi-channel environment that changes by the hour. You’ve probably experienced this for yourself:
- A marketing campaign drives a surge in interactions
- A product launch introduces entirely new inquiry types
- A minor website update triggers unexpected call volume
- Staffing shortages from burnout or attrition shift capacity overnight
In a traditional planning model, each of these changes triggers a manual reassessment that can take weeks if not months. You’re running the risk of losing customers and employees.
AI is making one thing increasingly clear: it exposes how outdated the current workforce planning model really is.
How AI is driving better contact center planning outcomes
The top contact centers are moving beyond static workforce planning and into a model powered by continuous intelligence. AI is enabling teams to run faster, more dynamic scenario modeling. Imagine testing multiple possible futures and adjusting decisions in real time as conditions change.
Planning becomes more flexible, responsive, and aligned — continuously evaluating trade-offs across cost, capacity, and customer experience.
Optimize staffing levels
Contact center leaders are presented with a choice between “buy, build, or bot.” Do you hire more people (buy), upskill existing staff (build), or maximize automation for workforce capacity (bot)?
Often the answer is a mix of all three, depending on call volume, channel mix, cost pressures, and service expectations. But trying to model these scenarios manually, especially when you need to see the HR and cost impacts simultaneously, becomes nearly impossible at scale. This is where AI-driven scenario modeling becomes a key differentiator.
With AI, you can test complex “what-if” questions instantly, evaluating the trade-offs to build the optimal balance for cost, coverage, and customer satisfaction.
Using AI in your scenario modeling also allows you to plan more proactively for workforce realities like burnout and attrition. By factoring these variables into ongoing models, organizations can better protect productivity and avoid the costly cycle of understaffing, overwork, and agent attrition.
Build accurate demand predictions
AI strengthens workforce operations by connecting real-time information from hundreds of data points. By drawing on historical interaction data, market trends, and internal business drivers, AI can produce highly accurate demand predictions across all channels.
As new data flows in, your forecasts evolve with it.
This continuous analysis helps contact center leaders to stay closer to actual demand conditions, rather than relying on periodic updates. This foresight helps leaders avoid the strain of understaffing while reducing the cost overruns of overstaffing.
Improve customer loyalty
Stronger planning decisions ultimately show up in the customer experience.
With a better idea of forecasted demand, you can use AI to align the availability of agent skills, experience level, and agent types (both AI agents and human agents). This, combined with real-time analysis of customer behaviors, helps you spot issues before they escalate — reducing churn and improving satisfaction through shorter wait times and more effective issue resolution.
The Anaplan Contact Center Planning application is built for how you operate
The Anaplan Contact Center Planning application provides real-time visibility into current and forecasted contact center capacity assessed against existing and projected workforce supply. Unlike tactical contact center management tools and spreadsheets that can’t keep pace with dynamic demand, Anaplan offers a standardized approach to aligning contact center capacity needs and timelines with workforce capacity and hiring plans.
This allows you to forecast customer interaction volume across all channels to optimize your sourcing strategies and resource allocation decisions, leading to better customer retention, brand loyalty, and the ability to consistently meet contractual and internal service levels.
With Anaplan Intelligence, you can transform and visualize all your enterprise data for more confident decision-making. Advanced AI-driven scenario modeling evaluates sourcing shifts and capacity trade-offs, monitoring agents automatically surface risks, and recommend actions as conditions change. Crucially, these capabilities are delivered within a ready-to-deploy application built on deep industry expertise. This means your AI is grounded in proven planning logic, not generic models detached from your operational realities.
Asking the right questions for an AI-driven future
While you need the right platform, your AI is only as good as the questions you aim to uncover.
Here's how to start thinking about how you can effectively leverage AI for your contact center planning:
- Do we have real-time visibility into the financial impact of agent attrition and underutilized staff?
- What is the optimal mix of human agents, specialized new hires, and automation needed to meet our service goals for the next 18 months?
- How will the upcoming product launch impact our team capacity, and what is the most cost-effective way to staff for it without compromising service levels?
- What is our financial and operational exposure if average handle time (AHT) increases by 15% in our highest-volume channel?
With these considerations, you can ensure that every decision you make protects both the customer experience, your employees, and the bottom line. When you get workforce planning right, your contact center will experience positive lasting effects. Increased productivity leads to higher revenue. Staff retention protects against costly budget overages. And stronger skill alignment improves customer experiences, leading to less churn.