Key takeaways:
There is a perception today that contact centers are on the precipice of an artificial intelligence revolution. Recently, while connecting with practitioners at the annual Society of Workforce Planning Professionals conference, I wanted to see if that perception matched reality.
If you are leading workforce operations, you already know the pressure to innovate with AI is immense. Executive teams are exploring AI agents, automation, and new ways to improve customer experiences while controlling costs.
But speaking directly with those on the front lines reveals a surprising truth about customer service planning today: while the vision for an AI future is clear, the operational foundation supporting it often tells a very different story.
Your AI strategy cannot run on spreadsheets
The promise of AI in the contact center is significant. Research predicts that by 2029, agentic AI will handle up to 80% of common customer service issues on its own. That's a dramatic shift in how customer service organizations operate, and one that has significant implications for workforce planning.
However, behind the curtain, many of these same forward-thinking organizations are still managing core planning processes through spreadsheets, manual workflows, and institutional knowledge. Some of the most important decisions about staffing, capacity, scheduling, and service delivery are being made using tools that were never designed to support rapidly changing business environments.
This creates an interesting juxtaposition. Your company might be discussing autonomous AI agents capable of handling thousands of customer interactions, while the operational planning behind those systems remains a collection of hand-built spreadsheets passed around through email chains.
As AI adoption accelerates, that disconnect becomes increasingly difficult to manage.
Planning for an AI and human workforce
There is an assumption that AI will simplify operations by swapping human effort for automation.
In reality, organizations are moving toward a hybrid operation, where human and AI resources converge and collaborate inside the same workflows. This creates an entirely new set of planning challenges.
Workforce leaders must now calculate how AI and humans co-manage volumes, predict when AI interactions will escalate, map shifting customer behaviors, and forecast the new, higher-level skills human agents will need.
Additionally, AI agents do not possess true critical thinking or organizational judgment. When you replace a human interaction with an AI process, you remove the person who can question a bad assumption, catch an edge case, improvise, or recognize a system failure.
AI executes flawlessly within its guardrails, which makes the design, planning, and forecasting of those guardrails more critical than ever.
Four ways to modernize contact center planning for AI success
Because of these shifting dynamics, the way you plan matters more than ever.
The next generation of intelligent planning systems should not be used to simply digitize yesterday’s workflows. To successfully manage environments where assumptions change constantly and AI and human resources continuously intersect, leaders must take decisive action to modernize their operations. Here are four ways to get started:
1. Implement scenario modeling
Stop relying on static, point-in-time forecasts. Adopt tools that allow you to rapidly test "what-if" scenarios — such as an unexpected 20% spike in AI-to-human escalations or a sudden shift in channel preference — so you can adjust your staffing instantly.
2. Unify your operational data
Connect HR, finance, and operations across their data silos. Your workforce plan must reflect real-time budget constraints, hiring pipelines, and operational capacity in a single, connected environment to ensure your AI investments deliver value.
3. Plan for the "human-in-the-loop"
Explicitly map out the escalation points where AI hands off to humans. Forecast and hire the specific skills that human agents will need to handle these escalated, high-friction interactions.
4. Establish governance and assess periodically
Create a framework to continuously adjust AI assumptions and human staffing models based on real-world performance data, not just historical averages.
The organizations that succeed will not simply be the ones that deploy AI the fastest, but the ones most capable of integrating AI into their operations seamlessly and flexibly over time.
The future of contact centers is unlikely to be fully human or fully autonomous. It will most likely be a mix of the two, and the planning systems underneath your operations need to catch up to that reality.
Missed our last contact center planning blog? Read more: AI for contact center planning: Faster scenario modeling for staffing, shrinkage, and demand shocks
