Dialpad vs. Zoom: communications and contact center evaluation guide
Comparing Dialpad and Zoom? Below is a guide to the criteria businesses commonly consider as part of this evaluation. To see Dialpad in action, reach out to our team or watch a demo.

What to consider when evaluating communications and contact center platforms
Dialpad and Zoom are both cloud-based platforms that offer communications and contact center capabilities. This guide focuses on Dialpad Support and Dialpad Connect on Dialpad's platform compared to Zoom Contact Center and Zoom Phone.
Where the platforms may differ is in how AI is built into the system, how communications and contact center work together, what the deployment and administration experience looks like, and how the platform scales with an organization's needs over time.
This guide covers some of the criteria worth examining.
AI architecture
One of the more consequential questions to ask when evaluating any contact center platform today is how AI is built into the system.
When AI operates as a core part of the platform, it can access the full context of an interaction as it is happening and act on that context during the conversation, not just after it ends. That affects what AI can do for agents and supervisors in the moment.
Questions to ask:
At what point in the interaction does the platform's AI activate, and what can it act on in the moment?
What data does the AI have access to during a live conversation?
How does AI inform routing, escalation, and agent support?
Is AI built into the core platform, or delivered through a separate product or add-on?
AI agents
AI agents are a common part of contact center evaluations, and what vendors mean by the term can vary.
Questions to ask:
Can the AI agent handle multi-turn conversations and reach resolution for appropriate issue types?
When an AI agent escalates to a human agent, what context carries over, and is it enough for the agent to continue without asking the customer to repeat themselves?
How can teams set guardrails, review AI agent behavior, and validate performance before deploying to customers?
Conversation intelligence
Contact center platforms generate significant volumes of customer conversation data. Where platforms can differ is in what they do with it, and when.
Questions to ask:
What percentage of interactions does the platform analyze, and how does that affect what teams can learn at scale?
At what point do insights become available, and how quickly can teams act on them?
How can agents, supervisors, and business stakeholders access those insights?
Communications and contact center in one system
Both Dialpad and Zoom offer communications and contact center capabilities. If your evaluation includes both internal business communications and customer-facing contact center, it is worth understanding how each platform delivers that combination.
Questions to ask:
How deeply are communications and contact center integrated within the platform, and what does that mean for data sharing, context continuity, and administration?
What does the experience look like for agents who need to move between customer-facing and internal communications workflows?
How configurable is each area, and can changes be made without technical resources?

Channel coverage and cross-channel context
Most contact center platforms support voice and digital channels. A more important question is whether those channels share context and how AI capabilities apply across them.
Consider whether a customer who contacts via different channels across separate interactions would need to re-explain their situation each time. Ideally, agents should have a unified view of prior interactions regardless of channel.
Questions to ask:
Which channels are natively supported, and which (if any) are added through third-party integrations?
Can agents see a complete interaction history across channels?
Do AI capabilities apply across voice and digital, or does coverage vary by channel?
Reporting and operational visibility
Contact center reporting serves dual audiences: operational teams managing performance day to day, and business leaders making decisions about staffing and CX strategy.
What to evaluate:
Real-time dashboards. Supervisors need visibility into what is happening in the moment.
Historical reporting granularity. Look for the ability to segment by queue, agent, team, and interaction type. Granular segmentation can help identify what is driving performance.
AI-generated insights. Platforms that surface patterns and insights proactively give teams more time to act on them.
CRM and business system integration
Contact centers connect to CRM, ticketing, workforce management, and other systems. When evaluating platforms, look at the depth of those integrations, not just the list.
Bidirectional CRM integration. Agents should be able to see customer data from the CRM during an interaction. It is also worth evaluating whether call data and outcomes write back to the CRM, and how that affects agent workflow.
Pre-built vs. custom. Pre-built integrations with platforms like Salesforce and Zendesk help reduce implementation time. If connecting to your core systems requires significant custom development, factor that into total cost and timeline.

Deployment and administration
Implementation and administration costs are often underestimated. It is worth evaluating early:
How long does it realistically take to go live, and what does vendor support look like during that period?
Can operational changes like updating routing logic, adding a queue, or modifying agent assignments be made by a non-technical administrator?
As your organization grows, how does the platform scale without requiring you to rebuild your configuration?
Security and compliance
Contact centers handle sensitive customer information, and compliance requirements vary by industry and geography.
Look for:
Data handling and residency. Where is data stored, and does the platform support data residency requirements for the regions where you operate?
Compliance certifications. Common certifications include SOC 2, ISO 27001, and GDPR readiness. For healthcare use cases, HIPAA-ready infrastructure may be required.
Role-based access and audit logging. Can access to recordings and transcripts be restricted by role? Is there an audit trail for administrative actions and data access?
Dialpad's security and compliance posture is documented at the Dialpad Trust Center.
See Dialpad in action
As you work through your evaluation, our team can walk you through how Dialpad brings together business communications, contact center, and AI in one platform.
Disclaimer: This comparison is based on publicly available information as of the date of publication. Features, pricing, and capabilities of third-party platforms are subject to change. This content is provided for informational purposes only.
Updated July 2026