Every fall, the forecasts start rolling in. This year, almost all of them land on the same word: AI. What they don’t agree on is what that means for a contact center with 25 or 250 agents, and a budget that someone outside the queue has to approve.
Here’s the short version. 2027 isn’t shaping up to be the year AI replaces your team. It’s the year AI has to fit in: with your people, your channels, and the data you already have. The teams that get this right will spend next year improving. The ones that don’t will spend it reconciling reports from tools that don’t talk to each other.
Below are five trends worth planning around now, plus a simple checklist to bring into your 2027 planning meetings. If you want the look back first, our 2026 planning perspective covers how we got here.
Trend 1: The Agentless Contact Center Isn’t Coming. Reskilling Is.
For a while, the headline was that AI would shrink the frontline. Reality has been quieter. In a late 2025 Gartner survey of 321 service leaders, only about one in five said they had reduced agent headcount because of AI. Most said staffing held steady while they supported more customers.
Some of the teams that did cut are already reversing course. Gartner expects that by 2027, half of the companies that attributed headcount cuts to AI will rehire people to do similar work, often under different job titles.
What’s really changing is the job itself. Nearly 80% of service organizations plan to move some agents into new roles, and 84% plan to add new skills to frontline positions. In practice, that looks like agents picking up conversations a bot started, spotting patterns in call topics, and coaching with real data instead of gut feel.
What to plan for: Budget for training, not just tools. If you’re adding a virtual agent or voice bot next year, decide now who owns it, who reviews its conversations, and how agents take over when it hands a caller off.
Trend 2: AI Budgets Are Growing Faster Than Teams Are Shrinking
Gartner predicts that by 2028, more than half of customer service organizations will double their technology spend without cutting staff to match. More tools, same people.
The risk here isn’t overspending. It’s tool sprawl. Every new point solution adds another login, another dashboard, and another set of numbers that doesn’t quite match the others. It’s also easy to buy AI and never really use it. In our research for The Essential Guide to Controlling Costs and Increasing Customer Success, 88% of contact centers owned AI tools, but only 25% had actually put them to work.
What to plan for: Before you add anything, list every tool you already pay for and whether your team uses it weekly. Then ask how each new tool connects to what you have. If you need to make the case to finance, our AI Contact Center Software ROI Guide walks through the math.
Trend 3: Digital Channels Are Pulling Ahead, So the Calls That Remain Get Harder
In a 2025 Gartner survey of 265 service leaders, live chat, self-service portals, and knowledge management were expected to overtake phone and email as the most valuable service technologies within two years. That’s 2027.
That shift has a side effect that doesn’t get talked about enough. When simple questions get handled in chat or self-service, the calls that still reach an agent are the complicated ones: billing disputes, frustrated repeat callers, issues that don’t fit a script.
This means two things for 2027. Your channels need to be connected, so a customer who starts in chat doesn’t have to start over on the phone. And the agents taking harder calls need better support while the call is happening, not just a review afterward.
What to plan for: Map where customers switch channels today and where they have to repeat themselves. Our guide to building an AI omnichannel contact center is a good starting point. For live support on tough calls, see how real-time agent assist with Xima Copilot works alongside your team.
Trend 4: Connected Beats Bolted On
This is the trend that ties the others together. Many contact centers will head into 2027 with a bot that can’t see the queue, analytics that can’t see what the bot handled, and QA scored in a separate system. Each tool might work fine on its own. Together, they create blind spots.
Connected AI means everything runs on one set of data. A conversation the bot handles shows up in the same reporting as agent calls. A call an agent takes gets transcribed, scored, and rolled into trends automatically. Supervisors can get from a spiking metric to the root cause without stitching exports together.
That’s the approach behind Xima AI, where AI Insights, Auto QA, speech analytics, and voice and messaging bots share the same data. If you want to see how the pieces fit, From First Contact to Final Score walks through it, and Using AI to Analyze Calls covers what that data can tell you.
What to plan for: Ask every vendor one question: does bot conversation data flow into the same reporting and QA as agent calls? If the answer involves exports or a separate dashboard, that’s a gap you’ll be managing all year.
Trend 5: Buyers Are Getting Tougher on Roadmap Promises
After two years of AI demos, contact center leaders are more skeptical, and that’s healthy. In that same 2025 Gartner survey, AI agents still ranked outside the top ten most valuable service technologies, both now and two years out. The interest is real, but many leaders aren’t convinced yet.
Expect 2027 evaluations to focus on what’s live and proven, not what’s coming “later this year.” That’s good news for buyers who ask the right questions.
What to plan for: For every feature you see in a demo, ask whether customers are using it right now, and ask to see it with real data. Our Small Business Buyer’s Checklist has ten questions that help cut through the pitch.
Your 2027 Readiness Checklist
Take these into your next planning meeting. If you can’t answer one confidently, that’s where to start.
Question | Why it matters for 2027 |
Do we know our top ten call reasons? | It tells you what to automate first and what should stay with people. |
Is every AI tool we own used weekly? | Unused tools are budget leaks, and budgets are about to grow. |
Do our bot, reporting, and QA share one data set? | Disconnected tools mean a year of reconciling instead of improving. |
Are we reviewing every interaction, or just a sample? | Manual QA typically covers 3 to 5% of calls, which leaves most of your operation unseen. |
Have we planned which new skills agents will need? | Roles are changing, and coaching takes time to stick. |
Can we tell a live capability from a roadmap promise? | It keeps 2027 budget going to tools that work today. |
Get a Head Start on 2027
The contact centers that do well next year won’t necessarily have the most AI. They’ll have AI that works together, a team trained to use it, and a clear view of what customers are actually saying.
If you want a framework for getting there, join Jon Florence, SVP of Industry Solutions, for Get AI-Ready for 2027: Your Contact Center Playbook on Tuesday, October 13 at 11:00 a.m. ET. He’ll cover where AI is delivering real results today, where it’s still overhyped, and how to tell the difference. Or, if you’d rather see it with your own setup, request a demo.
Frequently Asked Questions
What are the biggest contact center trends for 2027?
The biggest shifts are rising technology budgets without matching staff cuts, agents moving into new or expanded roles, digital channels like chat and self-service overtaking phone and email, and a growing focus on AI tools that share data instead of working in silos.
Will AI replace contact center agents in 2027?
Not on any large scale. Only about one in five service leaders has reduced headcount because of AI, and Gartner expects half of those companies to rehire for similar roles by 2027. AI is changing what agents do more than whether they’re needed.
How should a small or mid-sized contact center prepare for 2027?
Start with what you already have. Identify your top call reasons, check which tools your team actually uses, and make sure new AI connects to your existing reporting and QA. Then plan training for the new skills agents will need.
What does “connected AI” mean in a contact center?
It means your AI tools run on the same data. Bot conversations, agent calls, QA scores, and analytics all live in one place, so supervisors see the full picture without pulling reports from separate systems.
How can I tell a real AI capability from a roadmap promise?
Ask whether current customers are using the feature today, and ask to see it working with real data. If the answer is a future release date or a slide, treat it as a roadmap item, not a capability.
