Dialpad AI Agents • Automation review

Automate the request. Keep the customer in control.

Dialpad AI Agents are voice and digital agents designed to answer requests and take actions across connected workflows. A good evaluation starts with one repeatable customer need and a clear route to human help.

Voice & digitalDefined workflowsHuman handoffs
Review My AI Agent Use Case

The BizSprints assessment

Our take

We would evaluate Dialpad AI Agents where recurring requests consume meaningful team capacity and the underlying process is well defined. The strongest starting point has reliable source information, a bounded action, and an owner who can maintain it. If the process is inconsistent today, automation should begin with fixing that process—not expanding its reach.

Where to start

Choose one workflow you can measure.

Routine status requests

Evaluate a repeatable lookup when the source system is reliable and the customer can be appropriately verified.

Appointment workflows

Consider a bounded scheduling request with clear rules, accurate availability, and an exception path.

Initial information and routing

Explore how a request can be understood and directed to the right team without making the caller repeat the story.

What stands out

Look beyond the first answer.

Dialpad describes voice and digital agents, a no-code Agent Studio, a preproduction testing environment called Proving Ground, and governance capabilities called Guardian. It also describes handoffs to human agents with conversation context. Confirm availability, connector scope, channel support, and commercial packaging for the workflow you intend to deploy.

  • Show the actual action in the destination system, not just a spoken confirmation.
  • Test what happens when a source system is unavailable or returns conflicting information.
  • Verify the human handoff and the information the receiving agent gets.
  • Define who reviews failures and approves changes to the workflow.

Our pilot recommendation

Prove resolution before expanding coverage.

Begin with a narrow request type and an agreed sample of realistic conversations. Include successful requests, ambiguous requests, frustrated customers, and cases the agent must decline or escalate. Keep the initial scope small enough that an operations owner can review what happened and explain why.

  • Measure completed requests, recontacts, failed actions, handoff quality, and customer feedback.
  • Define the actions the agent is allowed to take and the checks required first.
  • Verify identity, access, source freshness, and audit visibility with your technical owners.
  • Agree on a fallback when the automation or a connected system cannot complete the task.

Commercial fit

Understand what counts as a billable conversation.

Dialpad’s published pricing page describes AI Agent Credits and conversation-based pricing. Ask for the credit model, the definition of a billable interaction, expected usage, and the treatment of handoffs and retries in your quote. Model several volume scenarios so the budget reflects how customers will actually use the service.

Common questions

What buyers ask us

Are AI Agents the same as agent assistance?

No. Agent assistance helps an employee during their work. An AI agent can handle a customer interaction and perform configured actions. The distinction changes the evaluation: automated actions need clear permissions, reliable data, and exception handling.

Do we need to automate the whole contact center?

No. Our recommendation is to start with a defined request and expand only after the workflow performs well. A narrow deployment can reveal data and process issues before they affect more customers.

Can an AI agent hand off to a person?

Dialpad describes human handoffs with conversation context. Demonstrate the exact handoff in your proposed environment, including queue availability, after-hours behavior, and what happens when no agent is immediately available.

Find the first workflow worth automating.

Bring your most common customer requests and the systems behind them. We’ll help identify a focused evaluation and the readiness questions to answer.

Review My AI Agent Use Case

About this assessment: Prepared by BizSprints using publicly documented product information and our operations-led evaluation approach. This is an advisory assessment, not a scored product test. Illustrative scenarios describe what we recommend demonstrating; they are not customer results.

BizSprints may receive compensation when a client purchases through our vendor relationships. Recommendations should be based on your requirements and the current written proposal. Product packaging and availability can change.

Product information checked September 10, 2026. Official product information · Official Dialpad pricing