Customer

The cost is after-call work and transfers, not the greeting.

21%

scaled agent use in service operations inside the technology sector. Most centers are still experimenting.

Stanford HAI, AI Index 20261

Contact centers buy IVR, chat, and copilots, then keep the same wrap-up, the same knowledge hunt, and the same transfer when the case is incomplete. The customer still waits on a person who has to rebuild the file.

Adnan Boz
Adnan Boz

How I see it

A new channel is not a better contact center

Contact center AI is a workflow problem that happens to use a phone or a chat. The expensive steps are after-call documentation, knowledge lookup, warm transfers with no context, and cases that bounce because the first touch could not act.

A voice or chat agent is useful when it can identify the case type, assemble history, take an allowed action, and leave a complete note in the system the next person uses. A nicer hold message is not that.

Workforce math matters. If wrap-up is a third of handle time, completing the note and the write-back is a clearer first bet than replacing the front door. If transfers are the pain, the packet that travels with the case is the work.

Hospitality, banking, and property operations in Miami run multi-channel queues with thin staffing. Start with one contact reason that already has volume. Measure handle time, transfer rate, and repeat contact. Do not start with an AI brand for the whole center.

Where the cost sits

Center cost for one reason

contacts × (talk + wrap-up + transfer waste) × loaded cost, plus repeat-contact cost

Use one contact reason. Channel mix matters less than whether the case completes.

Is this your problem?

Five signals the cost is already real.

  1. Which contact reason has the most volume and the cleanest policy?

    That is the first design object, not the whole center.
  2. What share of handle time is wrap-up and reconstruction?

    If it is large, complete the note before you replace the greeting.
  3. Why do transfers happen: missing authority, missing context, or missing system access?

    Each cause is a different design. AI does not fix missing authority.
  4. Do chat, phone, and email share a case record?

    If not, a new channel will create another incomplete file.
  5. What may the system do without an agent?

    If nothing, you are buying search and a script, not a contact-center change.

What done looks like

The result, not the category.

A solution is finished when a named result no longer waits on reconstruction.

01

Reconstruct the case once

History, policy, and system state are assembled before the agent or the person answers.

Done when

The first response does not start with let me look that up.

Not done if

A bot greets the customer and then transfers an empty case.

02

Close it in the system

The ticket, the note, and the next action are written back. Deflection is not closure.

Done when

The case is done in the system of record.

Not done if

Containment goes up and reopen rates stay the same.

03

Keep a human on the exception

Authority, refunds, and messy history stay at a named control point.

Done when

Routine cases complete and exceptions have an owner.

Not done if

Every case still needs a person, or none do.

What usually fails

How solution shopping wastes a quarter.

01

Replacing the front door first

A new IVR or chat that cannot complete work adds a channel and keeps the queue.

02

Ignoring wrap-up

If the agent talks and a person still writes the note, you moved seconds and added review.

03

Optimizing average handle time in isolation

Shorter calls that create repeats and transfers are not leverage.

This is not the problem if

Do not start with a category purchase.

  • Leadership wants a branded voice agent more than a completed case.
  • There is no shared case record across channels.
  • Wrap-up and transfer data will not be shared.
  • A simpler routing change or a better knowledge article would remove most of the volume.
Adnan Boz

A useful next step

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