2026 customer service planning series: Vol. 01

Like many support leaders right now, I’m deep in 2026 planning.

I imagine this cycle is bringing a big question into focus for most: if the way work gets done has fundamentally changed, what does that mean for the shape of my support organization?

In 2026, you won’t get the full value of AI by keeping your org chart, systems, and operating model the same. You need to think differently about how support is structured, how performance is owned, and how your systems evolve around an AI-first model.

To help you do that, we’ve designed a “2026 customer service planning series.” Over the next five weeks, we’ll cover the roles, skills, organizational design, and operating model you’ll need to be successful next year.

This is part one of our five-part series on customer service planning for 2026. We’ll be sharing all five editions on our blog and on LinkedIn.If you’d rather have them emailed to you directly as they’re published, drop your details here.

But before you can make any of those decisions, you need the right mindset and the right internal conditions for change. That’s where we’ll start this week.

Week 1: Start with a mindset shift

If you were building support from scratch today, you’d design around AI from day one. That’s the mindset you need to adopt heading into 2026.

But many teams treat AI like a feature instead of infrastructure. They tack it onto existing processes and tools, limit its scope to tier-one issues, and fail to evolve the organization and systems around it.

Those teams are thinking too small. They chase incremental efficiency gains, underinvest in the system change needed to make AI successful, and get stuck. It results in the customer experience staying fragmented, the team staying reactive, and the business leaving value on the table.

AI Agents are fully capable, end-to-end resolution engines. They fundamentally change the architecture of support.

To plan effectively and get the most value out of the technology, you need to adjust your mental model. Here are the mindset changes that matter most.

1. Move from ‘AI as a tool’ to ‘AI as infrastructure’

For the past decade, support systems have been the intermediary between customers and human support agents. AI isn’t an intermediary, it’s the first touchpoint (and often the last), the primary resolver, it manages workflows, orchestrates handoffs, and takes real actions.

Planning with the “AI is a tool” mindset will lead to small optimizations around the edges that don’t move the needle. Planning with the “AI is infrastructure” mindset, on the other hand, will help you redesign your organization around where value is actually created.

The teams that thrive in 2026 will be the ones who design around:

• Clear ownership of Agent performance
• A feedback loop that never shuts off
• A shared understanding of when humans step in
• Systems that evolve as AI capabilities expand

This sets up every decision that comes later in your planning process.

2. Look at how the work is changing

You need to plan your 2026 support organization around what the distribution of work will be.

AI has changed where volume goes, what humans spend time on, where judgment is needed, how performance is measured, and how the customer experience is designed. If your planning assumes your current work distribution is stable, you’ll design the wrong structure around it.

You need to think about the work you know is coming, not the work your team is dealing with today.

3. Think like a product leader

When your customers are primarily interacting with your AI Agent, support becomes responsible for designing the customer experience – not managing it.

“Support is becoming a product function, and you are becoming a product leader”

Support becomes a product surface, and support teams become AI product teams. They:

• Design the customer experience
• Create and curate the knowledge layer that drives AI quality
• Maintain continuous improvement loops and tune system behavior over time

This is a big change. Support is becoming a product function, and you are becoming a product leader. Your planning needs to account for that.

4. Redefine performance

This is a big mental leap for support leaders. Traditional performance was measured on speed and satisfaction, but AI performance is measured on resolution, impact, and system reliability.

Planning for 2026 means assuming that:

• Humans will handle a smaller % of volume.
• Customer experience will be shaped by AI’s performance, not throughput
• “Support productivity” gets measured differently

When AI handles the bulk of your support volume, you need new metrics for how your team creates value.

5. Understand that your value increases as AI takes on more work

You need to re-orient your team around AI’s performance to get the most value out of it. The more complex work you give it, the higher impact it will have.

Instead of routing complex, messy questions straight to your human team, shift their focus to improving the AI system so it can take on more over time.

Automating low-effort questions reduces noise, but automating complex workflows changes the economics of your entire team. It creates asymmetric returns that compound as AI absorbs the work that once demanded the most time and skill.

6. Plan for adaptability

A big difference between traditional planning and 2026 planning is simple: change will be constant.

“Change is hard, but the teams that adapt will be the ones who get the most out of this opportunity”

AI learns, evolves, and improves continuously. You need to ask yourself: “How do I build an organization designed to adapt fast as the system evolves?”

Change is hard, but the teams that adapt will be the ones who get the most out of this opportunity.

Food for thought

Heading into 2026, your org chart will need to look different. But your people will play new, more meaningful roles within it.

Once you understand that 2026 will demand a different way of thinking, working, and planning, you can move into the next stage: designing the support organization that fits this future.

Next week, we’ll show you what that actually looks like.

To follow along with the series and have each new edition emailed to you directly, drop your details here.