Dialpad vs. RingCentral

What to consider when evaluating contact center platforms

If you are comparing Dialpad Support and RingCentral RingCX, you are probably looking at more than just channel coverage and pricing. More consequential questions are about how each platform approaches AI, what that means for day-to-day contact center operations, and how the platform fits into your broader communications stack.

This guide covers the criteria worth examining.

Platform architecture and product structure

One of the more important questions to ask when evaluating any contact center platform is how its components are organized and delivered.

Some platforms bring contact center, communications, and AI into a single unified system. Others deliver capabilities across multiple products, tiers, or configurations that may require additional setup to work together.

Questions to ask:

• Are contact center, communications, and AI capabilities part of one system, or delivered across separate products?

• How does the platform's architecture affect how data flows between features and workflows?

• What level of configuration or technical expertise is required to get the platform fully operational, and to make changes after initial deployment?

AI architecture

How AI is built into a contact center platform has become one of the more consequential factors in an evaluation. The question is not just whether a platform offers AI features, but how those features are integrated into the system and when they activate.

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?

AI agents

AI agents have become a central part of contact center evaluations, and the term covers a wide range of capabilities depending on the vendor.

Containment scope. Can the AI agent handle multi-turn conversations and reach resolution for appropriate issue types?

Handoff quality. When an AI agent escalates to a human agent, what carries over? Consider what context transfers, and whether it gives the agent enough to continue the interaction without asking the customer to repeat themselves.

Governance. As AI agents take on more of the customer interaction, oversight becomes important. Look for the ability to set guardrails, review AI agent behavior, and validate performance before deploying to customers.

Conversation intelligence

Every contact center generates conversation data. Where platforms 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?

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.

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, process, 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 beyond aggregate metrics.

• 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's 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 contact center 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.

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