A customer has already explained the problem. They’ve answered the AI assistant’s questions, tried its suggestions, and reached a point where they need a person.
Then the assistant sends them to a phone number.
The customer calls, waits, and explains everything again. The agent asks which steps they’ve tried and what they’re seeing on the screen. Several minutes later, the conversation finally gets back to where it started.
This is the part of AI customer service that deserves more attention.
Much of AI strategy focuses on making automation capable of answering more questions. That matters. But even the best AI will encounter situations that need human judgment, expertise, or reassurance. The customer experience depends on what happens next.
Glance’s 2026 Customer Experience Trends research found that 44% of consumers almost always have to repeat themselves when switching channels. Only 7% rarely or never do.
An AI customer service handoff shouldn’t erase the progress a customer has already made. Moving from AI to a person should help them move forward.
Why reaching a person can still feel like starting over
Offering live support doesn’t automatically create a connected customer journey.
An organization may have a chatbot, a contact center, an account portal, and a mobile app. Each can function well on its own while leaving gaps between experiences.
Those gaps become visible when a customer needs to move from one form of support to another.
The AI assistant may have gathered useful information, but the agent can’t access it. A transcript may reach the agent without clearly identifying the unresolved issue. Or the conversation history may be available while the customer’s current digital task remains invisible.
The customer becomes responsible for connecting the pieces.
They explain the issue again. They describe a form they don’t understand. They try to remember which suggestion produced which result. Meanwhile, the agent works to separate the original problem from the additional confusion created during support.
That’s why an omnichannel customer experience needs a way to preserve progress as customers move between them.
A better handoff transfers context, not just the customer
A weak AI-to-human handoff routes someone to an agent and leaves the agent to figure out why they’re there.
A strong handoff prepares the agent to continue helping. A successful transfer should preserve enough information to make the next interaction productive.
That includes:
- The customer’s goal: What are they trying to accomplish?
- The obstacle: What’s preventing them from completing it?
- The work already done: Which answers, steps, or troubleshooting attempts have they tried?
- The current situation: Where are they in the process, and what remains unresolved?
A transcript can contribute to that picture, but simply delivering more text isn’t always helpful. Agents need a clear summary of the relevant details, with access to the underlying conversation when they need to verify something.
The difference shows up in the first question an agent asks.
“What can I help you with?” invites the customer to begin again.
“I see you’re trying to upload a document, and changing the file format didn’t resolve the error. Let’s look at where it’s getting stuck” moves the conversation forward.
Read more in our human-in-the-loop guide: The human edge in AI customer service
Recognize when human help would be more useful
A better AI customer journey also needs a clear approach to escalation.
Customers shouldn’t have to repeatedly ask for an agent or work through the same unsuccessful suggestions before human support becomes available.
Organizations can define circumstances that should trigger or offer customer service escalation. These might include repeated failed attempts, conflicting information, an exception outside the supported workflow, or a direct request for a person.
The right rules will depend on the business and the task. A routine information request differs from a disputed banking transaction or an insurance question that affects a customer’s next steps.
What matters is designing the transition deliberately.
AI can help identify intent, organize history, and route the request. The receiving agent can interpret the situation, clarify uncertainty, and decide how to proceed.
Customers should also understand what’s happening. A short explanation that an expert will help with the unresolved issue is more useful than an unexplained transfer or another generic suggestion.
Escalation should feel like the service is responding to the customer’s needs.
What a better customer journey looks like
Consider a customer submitting an insurance claim online. They’ve completed most of the form, but a supporting document won’t upload.
In a disconnected journey, the AI assistant provides general upload instructions. When those don’t work, it directs the customer to call support. The agent then asks the customer to describe the form, the file, and the error.
The customer’s task is still unfinished, and now they’re managing a second process: explaining the first one.
A guided journey can work differently.
AI helps with the initial request
The assistant clarifies the obstacle and suggests appropriate steps. If the issue is straightforward, the customer can resolve it independently.
Escalation preserves what’s already happened
When those steps don’t work, the experience offers human help. Relevant information about the issue and attempted solutions reaches the receiving agent.
An expert joins the digital experience
With cobrowsing, the agent can join a shared view of the customer’s current experience. The customer can stay with the task while the agent examines the relevant page and helps identify the obstacle.
The interaction moves toward completion
The agent guides the next step, checks whether it worked, and helps the customer understand what happens after submission.
This approach gives each part of the support experience a purpose. AI handles the initial assistance. Human expertise addresses the unresolved situation. Shared visibility helps turn the conversation into action.
Preserve the customer’s place in the journey
Personalization is often associated with tailored messages or recommendations. In customer support, it also means recognizing what someone has already done and responding accordingly.
McKinsey research found that 71% of consumers expect personalized interactions, and 76% become frustrated when they don’t receive them.
A customer who’s already tried three troubleshooting steps needs a different response from someone asking the question for the first time.
The same applies to their digital context. An agent who can see the relevant page doesn’t have to rely entirely on the customer’s description. With Glance cobrowsing, representatives can highlight content and guide navigation, while configured masking can protect sensitive information.
Measure whether the transition helps customers move forward
To evaluate an AI customer service handoff, leaders should examine what happens after routing:
- Did the customer have to repeat information?
- Could the agent understand the unresolved issue?
- How much time went into reconstructing the situation?
- Did the customer complete the task?
- Was another contact necessary?
These questions reveal whether customer service automation is reducing effort across the journey.
Better visibility can also support operational outcomes. In a Total Economic Impact™ study commissioned by Glance, Forrester Consulting modeled a composite organization with a 20% reduction in average handle time and an improvement in first-time interaction resolution from 88% to 90%. Results will vary, but the study illustrates the potential value of helping agents see and address the customer’s situation.
The best escalation feels like continuity
Customers shouldn’t have to navigate the gap between what AI can handle and where human expertise becomes useful.
AI can find information, organize history, and route requests. People can explain complicated decisions, respond to uncertainty, and guide situations that need judgment.
A seamless customer experience connects those strengths.
The best escalation is one the customer barely notices: Human help arrives with enough context to continue the journey, and the work already completed still counts.
See how Glance connects digital self-service with in-the-moment human guidance.
