CCaaS: What is Contact Centre as a Service?
If you're looking for a Contact Centre as a Service (CCaaS) solution, you can book a demo with our team for a personalised walkthrough, or keep reading to learn how CCaaS works, where AI customer service agents fit in, and what to evaluate before you buy.

What is CCaaS (Contact Centre as a Service)?
Contact Centre as a Service (CCaaS) is a cloud-based contact centre platform that a company pays for on a monthly or annual subscription, rather than buying and hosting the hardware itself.
CCaaS platforms act as the central hub for customer interactions, and increasingly, for any kind of high-volume interaction with an audience. Support teams are the most common example, but plenty of contact centre teams serve employees, students, and other audiences too.
From logging caller information to routing calls, CCaaS is the core system contact centre agents and supervisors work in every day, without the cost of on-premises hardware. Dialpad Support for contact centres, for example, is a CCaaS solution where AI voice and digital agents, live coaching, workforce management, and analytics can all work together natively on the same platform, instead of as separate, disconnected tools.
Enterprise and mid-market teams often lean on the full breadth of this feature set, but even small business call centre software can give smaller teams access to capabilities like workforce management and coaching automation that used to be primarily for large enterprises.
What's the difference between CCaaS and UCaaS?
CCaaS
CCaaS stands for Contact Centre as a Service. Enterprises, and increasingly small businesses, use CCaaS platforms to handle a large volume of inquiries or high-volume outbound outreach.
The term is generally used interchangeably with contact centre or call centre software. CCaaS platforms typically include features like Interactive Voice Response (IVR) and call routing, which help agents (and increasingly, AI agents) handle customers across multiple touchpoints.
UCaaS
UCaaS stands for Unified Communications as a Service. UCaaS is built to unify multiple communication channels in one platform for a business's day-to-day conversations, whether that's internal collaboration or lighter-touch external communication with customers (as opposed to the high-volume, structured customer interactions CCaaS is built for).
UCaaS platforms typically include video conferencing, voice calls, and instant and/or SMS/MMS messaging, the channels teams rely on day to day, streamlined into one desktop or mobile app.
Both UCaaS and CCaaS platforms can come with a built-in VoIP phone system for calls and SMS. Some vendors, including Dialpad, offer both Connect (UCaaS) and Support (CCaaS) on one underlying platform, so conversation history and context can carry across internal and customer-facing teams instead of living in two separate systems.
What are AI customer service agents?
AI customer service agents are AI systems that can understand what a customer is asking for, take action inside the business systems they're connected to, and resolve the request themselves, rather than only answering a question or routing the interaction to a person.
That's the main thing that separates an AI customer service agent from a traditional chatbot. A chatbot typically answers from a script or knowledge base. An AI customer service agent can look up an order, reschedule an appointment, update an account, or reset a password because it's connected to the systems where that data actually lives, not just to a set of canned responses.
In a CCaaS platform, AI customer service agents usually show up in a few recognizable ways:
Resolving common requests end to end. Order status, appointment scheduling, account updates, and password resets are common starting points because they follow a predictable process and touch systems the AI agent can be connected to.
Working across voice and digital channels. The same AI agent can often handle a phone call, a chat message, or an SMS conversation using the same underlying skills and knowledge.
Handing off to a human agent when needed. If a request falls outside what the AI agent can resolve, it can transfer the conversation to a live agent along with the conversation history and any actions already taken, so the customer doesn't have to repeat themselves.
Dialpad AI Agents are built on this model, with skills and integrations that admins configure for their own workflows rather than a fixed, one-size-fits-all script.
Types of contact centres
The right setup depends on the kind of interactions your team handles most. Some teams manage mostly inbound calls, some focus on outbound, and some use live chat, SMS, WhatsApp, or social channels like Facebook and Instagram alongside (or instead of) phone support. These aren't mutually exclusive:
Inbound contact centres
An inbound contact centre manages incoming or inbound calls and contacts, typically from customers looking for support, though inbound teams also field billing questions, order changes, and appointment scheduling.
Outbound contact centres
In an outbound contact centre, sales reps make calls or send messages to prospects and clients. Outbound calling is a common way to generate and follow up on leads, though it's not always sales-driven. Outbound contact centres also handle work like follow-up consultations, survey collection, and appointment reminders.
Omnichannel contact centres
An omnichannel contact centre lets customers reach out on a variety of channels, such as email, phone, chatbot, and live chat, with context carrying across all of them.
Cloud-based contact centres
Cloud-based contact centres are hosted and managed by a provider over the internet rather than on your own servers. That makes it much easier to add agents or stand up new teams from an online dashboard instead of waiting on infrastructure changes. A reliable internet connection covers most of what you need to get started, since the provider manages the rest of the infrastructure.
CCaaS vs. on-premises solutions
Migrating to CCaaS can feel like a big step, but there are real benefits for contact centre teams, especially those with agents who work remotely or hybrid.
Lower upfront investment
CCaaS doesn't require your own on-premises hardware or data centres. Because the provider owns and manages the infrastructure, you can avoid a lot of the upfront setup and implementation cost.
Reduced operational costs
With CCaaS, you pay a set monthly price and the provider handles support and regular product updates, which can add up to meaningful savings over maintaining on-premises hardware and specialised IT staff.
More flexible scalability
On-premises contact centres are tied to a physical location, wiring, and other infrastructure, which means an office, server closets, desk phones, and so on. With CCaaS, agents and supervisors can work from any device and location, and teams can scale up or down to match demand.
How much of that flexibility you actually get depends on the platform, since phone number management and call routing controls vary in how self-service they are from vendor to vendor.
Dialpad Support gives admins direct control over this. If you have seasonal call volume spikes, you can add and remove agents directly in your online dashboard.
Easier workforce management and staffing
Some CCaaS platforms include workforce management and quality management features, either built in or through an integration or open API. Dialpad WFM, for example, adds auto-scheduling and adherence reporting directly onto Dialpad Support, so the data lives in the same platform instead of a separate workforce engagement tool.
Omnichannel customer experience
CCaaS platforms typically make it easier to offer a consistent experience across channels like social media, live chat, and phone. With CCaaS platforms, a customer's full conversation history usually follows them across channels, so an agent picking up a chat can see the phone call that came before it. That kind of continuity is harder to pull off with on-premises systems that weren't built to share data across channels.
CCaaS features to consider
The selection of features a provider offers is important, but a long list isn't the goal on its own. What matters more is whether a CCaaS platform's capabilities fit how your team actually works, and whether they improve both the customer experience and the agent experience.
Integrations with the software you're already using
The right CCaaS platform connects to the tools your teams already rely on. One of the most important things to look for in contact centre software is how well it integrates with third-party applications.
Dialpad, for example, integrates with a wide range of customer experience and productivity tools, including CRMs, engagement software, and ticketing apps.
A CRM is usually the most important integration to check for. Many contact centre teams rely on Salesforce, Zoho CRM, HubSpot, and similar tools, so confirm your CCaaS provider supports them. Dialpad's Salesforce integration, for instance, lets agents take calls with an embedded CTI dialer inside Salesforce, with activities and calls logged automatically:

If your business already runs on Microsoft Teams, Dialpad Support is worth a close look because it's built as a contact centre solution for Microsoft Teams. Instead of switching between apps, agents can handle calls, view customer information, and manage contact centre functions from inside Teams.
Live coaching
The right CCaaS platform should make it easy for managers to monitor calls in real time, step in when needed, and help agents improve while they're still on the call, not just afterward. Dialpad Support's live coaching is built around this.
With listen-in, whisper, and barge-in modes, supervisors can monitor calls silently, coach agents without the customer hearing, or join a conversation directly when an agent needs support.
Manually listening to every call doesn't scale once you're overseeing 10, 20, or more agents, though. That's where Dialpad AI, proprietary technology built by Dialpad's own team, augments live coaching by analysing conversations as they happen and surfacing what agents need in the moment.
AI Live Coach Cards are one example: customisable, context-sensitive coaching pop-ups that appear on an agent's screen when specific topics or keywords come up during a call. If a customer says "cancel my subscription" or "port my number," Dialpad AI can trigger a card with talking points or process reminders tailored to that moment. Managers can configure a library of these cards, from product details to compliance scripts:

Together, these tools give contact centre leaders a live coaching framework that supports agents in the moment rather than relying only on after-the-fact review, and can help make outcomes more consistent across the team.
Transcription, recaps, and sentiment analysis
Live coaching helps in the moment, but the best CCaaS platforms also provide rich context around every conversation, both during and after the call, through real-time call transcription, summaries, and sentiment analysis.
Dialpad AI transcribes calls automatically as they happen, so supervisors and agents can follow along in real time. This is especially useful in noisy environments or when it's important to be sure precisely what was said.
Live sentiment analysis adds another layer by flagging whether a call is trending positive or negative based on the language used, so supervisors can spot potential issues before they escalate instead of randomly sampling live calls:

After the call, automatic summaries highlight key moments, decisions, and action items, which can cut down on manual note-taking and help make sure details don't get lost between the conversation and your CRM.
Agentic AI capabilities
Traditional contact centre AI could suggest helpful information or analyse conversations, but additional efficiency comes from AI that can take action. That's the idea behind agentic AI: not just supporting agents, but resolving requests independently where it's able to.
Dialpad's agentic AI capabilities are built around this. Unlike a basic chatbot or a rule-based automation, Dialpad AI Agents can understand intent, carry out multi-step tasks, and interact with connected systems, so customers can often resolve requests like checking an order status, scheduling an appointment, updating account details, or resetting a password without needing to speak with a person.
A few common use cases:
Order and account lookups, pulling status or account details from a connected system in real time
Scheduling and rescheduling appointments directly against a connected calendar
Password resets and account updates that could otherwise sit in a support queue
Tier-1 triage, gathering the right information up front so a human agent has full context if the request does need to escalate
That last point matters as much as the automation itself. Dialpad's agentic AI is designed with human escalation built in: if a request falls outside the AI agent's scope, the conversation transfers to a live agent with the conversation history and any actions already taken, so the customer doesn't have to start over. The goal isn't to deflect calls; it's to resolve more of them, and hand off the rest with full context.
Workforce management
Efficient workforce management (WFM) is central to running a contact centre well. Forecasting demand, scheduling agents, and monitoring performance in real time all help you deliver a consistent experience without overstaffing or burning out your team.
Adding a CCaaS-native WFM option, like Dialpad WFM, means scheduling and performance data can work directly with the contact volume and agent status data already flowing through the same platform, without needing to sync between separate systems.
Dialpad WFM adds onto Dialpad Support, giving supervisors a single source of truth for communications and staffing instead of switching between platforms. Based on forecasted demand and agent availability, Dialpad WFM can generate schedules that account for agent skills, time-off requests, and shift preferences:

Interactive Voice Response (IVR)
Interactive Voice Response (IVR) is one option for greeting incoming callers and getting them to the right person, or letting them self-serve if their question is simple.
It isn't the only option, though. An AI receptionist or an AI voice agent can hold a natural conversation instead of routing callers through a fixed menu, and can often resolve simple requests on the spot rather than just directing the caller somewhere else. Which approach fits best usually comes down to the department and the kinds of requests it handles: a menu-driven IVR can still be the more predictable choice for something like routing to a specific team or extension, while an AI agent tends to add more value on requests it can fully resolve, like scheduling or order status.
Dialpad's IVR is easy to set up and adjust. Uploading a new greeting or changing call routing both take just a few clicks in the dashboard. Dialpad's built-in analytics also show which IVR options callers are using, and which they aren't, so you can keep refining the menu based on actual behaviour:

👉 Dialpad tip:
You can set personalised IVR greetings in multiple languages. Go to Your Settings > Language > Manage IVR, voicemail, and AI language settings and pick your preferred language.
Power dialers
Built primarily for outbound contact centres, a power dialer automates outbound dialling by placing the next call on a list as soon as the previous one ends.
For teams focused on outreach efficiency, a CCaaS solution with a power dialer reduces the manual overhead of dialling so reps can spend more time in conversation. Increasingly, that capability sits within a broader outbound contact centre offering, alongside real-time coaching, automated post-call summaries, and other sales AI capabilities.
Real-time and post-call analytics
Using data from the conversations you're already having is one of the most direct ways to make targeted improvements to your operations. Dialpad's built-in, real-time analytics give you direct visibility into how your contact centre is performing as it happens, right from your dashboard.
For managers and supervisors, that direct access matters. It turns raw interaction data into customer intelligence you can act on: spotting coaching opportunities, catching issues early, and making decisions that improve both efficiency and customer satisfaction.
For example, heat maps show call volume patterns and average speed to answer, which is useful context for future staffing decisions:

Security and compliance
For enterprise contact centres, security and compliance cover a specific set of practices: encryption for data in transit and at rest, role-based access controls, data residency commitments, and certifications like SOC 2, GDPR, and other applicable standards that verify those practices to auditors and customers. Because contact centres handle high volumes of customer conversations and, often, regulated information, these aren't a single feature to check off but a set of standards that should run through the whole platform.
Dialpad Support is built with this as a foundation, from encryption and access control to data residency and compliance certifications.
A few specifics:
Customisable data retention and management
Enterprise-level encryption. Calls over the VoIP network and in-transit web requests are encrypted using TLS. At rest, application data is stored using AES 256-bit encryption on Google Cloud Platform.
Role-based controls. Admins can configure custom permissions so the right people have the right level of access, along with single sign-on (SSO), multi-factor authentication (MFA), and audit logs for traceability.
Global compliance standards, including SOC 2® Type II, GDPR support for customers operating in or with the EU, membership in the Cloud Security Alliance (CSA) STAR registry, and other applicable industry standards.
Call recording controls for regulated workflows, including configurable all-party consent settings and the ability to pause or manage recordings for calls that touch sensitive data like payment details, which can help support PCI-related handling requirements even though PCI-DSS certification is issued to the organisations that process card data, not to a communications vendor directly.
AI-driven PII redaction, currently available through an Early Adopter Program
🔎 Further reading:
Visit the Trust Center to learn more.
How to evaluate AI agents within a CCaaS platform
Adding AI agents to a contact centre raises a different set of questions than evaluating the base platform. Here's what's worth digging into before you commit.
Security and data privacy
Ask how the AI agent handles the data it touches: what PII protections are in place, whether customer data is used to train models shared across other customers, and how long data is retained after a conversation ends. A platform that can answer these clearly, and point you to a public trust centre for the details, is generally easier to get through procurement and security review.
Build vs. buy
Building an AI agent in-house gives you full control but usually means owning the ongoing work of maintaining integrations, retraining on new scenarios, and keeping up with model changes. Buying a platform-native AI agent trades some of that control for faster time to value, since the skills, integrations, and guardrails are already built by the provider. Many teams land somewhere in between: a platform-native AI agent that's still configurable enough to match their own workflows and knowledge base.
Measuring ROI
A single metric rarely tells the full story. Deflection rate on its own can be misleading, since a high deflection rate paired with poor customer satisfaction likely means people are giving up rather than getting resolved. A more reliable read on ROI looks at deflection or resolution rate alongside customer satisfaction (CSAT) and sentiment, so you can see whether requests are actually getting solved, not just moved out of the queue. Many teams are still early in AI adoption, so starting with a focused pilot on a handful of high-volume request types, and comparing before-and-after data, can give a clearer picture than an abstract ROI model up front.
Selecting a CCaaS vendor
Choosing the right CCaaS provider is a high-stakes decision for organisations depending on reliable, scalable, and secure communications infrastructure. The right CCaaS partner should meet your technical requirements today and be able to grow with you.
A few criteria worth evaluating:
Platform and channel diversity
A modern CCaaS solution should support a range of interaction types, from inbound service requests to outbound sales and proactive engagement. Look for an omnichannel platform that handles voice, messaging, and digital channels natively, without third-party add-ons or workarounds.
Manager visibility and performance analytics
What kind of visibility does your cloud contact centre give managers into agent performance, priority clients, or the context behind an escalated request? Look for integrated reporting, sentiment tracking, and quality assurance and coaching tools in one place, rather than piecing that view together across tools.
Enterprise-grade security
A CCaaS provider's security and compliance requirements should match the environment you operate in, from general data handling standards to industry- and region-specific ones depending on the data you handle and where your customers are. Ask detailed questions about encryption, access controls, audit logs, and privacy practices to confirm the provider meets the standards relevant to your business.
Resilience, disaster recovery, and data backup
Downtime is costly, both financially and reputationally. Look for a vendor with a proven uptime track record, clear disaster recovery protocols, and transparency about how customer data is stored, backed up, and retained.
Dialpad, for example, stores permanent customer data such as contact lists, call records, recordings, and transcripts in the United States on Google Cloud Platform, backed up daily. Transient data in Dialpad's data centres is held for no more than 72 hours. For organisations with specific data residency requirements, this is worth confirming directly with the vendor, since not every provider stores data regionally by default.
Native AI and automation
Leading CCaaS platforms build in AI for real-time agent support, post-call analytics, and workflow automation. Evaluate how a provider's AI improves productivity and helps you scale, not just whether it exists. Dialpad's real-time transcription, sentiment analysis, and agentic AI capabilities are built natively into the same platform, so they draw on the same conversation data without a separate integration to maintain.
Dedicated support
When something goes wrong, or you're scaling quickly, you need a partner, not just a vendor. Look into the support structure available to you, from 24/7 help desks to dedicated customer success managers. Dialpad Support, for example, offers tiered support levels with defined response-time SLAs and named account reps to help guide deployment and growth.
Pricing and total cost of ownership
Cost savings are a major reason businesses move to the cloud, but clarity matters. Understand the total cost of ownership, including licensing, overage charges, support tiers, and custom integrations, and prioritise platforms with predictable pricing and flexible contract terms.
Understanding CCaaS pricing and cost factors
CCaaS pricing varies widely by vendor, feature set, and deployment size. Here are the main factors that drive cost.
How CCaaS is usually priced
Most CCaaS platforms price per agent, per month, often across a few tiers (basic, advanced, and enterprise) that unlock more features, integrations, or support as you move up. Some vendors add usage-based charges for things like call minutes, SMS volume, or AI agent conversations on top of the per-agent fee.
What tends to drive the total cost
Number of agents. Per-seat pricing means the agent count is usually the biggest single line item.
Feature tier. Advanced analytics, workforce management, and AI capabilities are often gated behind higher tiers.
AI agent usage. If AI customer service agents are priced separately or by conversation volume, usage can scale with how much of your support load they take on.
Integrations. Some providers charge extra for premium integrations or API access; others include a broad integration library in the base price.
Support level. Standard support is usually included, but faster SLAs or a dedicated customer success manager typically cost more.
Implementation and onboarding. More complex environments (custom IVR flows, large agent counts, multiple integrations) can mean a higher one-time implementation cost.
Why total cost of ownership matters more than the sticker price
The monthly per-agent rate is only part of the picture. Overage charges, add-on features, and implementation costs can meaningfully change what you actually pay. When you're comparing CCaaS platforms, it's worth asking each vendor for a full breakdown of what's included at each tier and what triggers an additional charge, rather than comparing headline prices alone.
CCaaS implementation and migration
Successfully implementing a CCaaS platform takes more than flipping a switch. It's a strategic initiative that touches multiple departments, systems, and workflows.
Here are three foundational steps for a smooth transition:
Consider your business needs and success criteria
Align your CCaaS implementation to clear business outcomes, such as improved resolution times, omnichannel support, or a clear view to performance with real-time analytics. Proliance Surgeons, one of the largest surgical practices in the US, needed excellent communication across 80 care centres, so its CIO prioritised healthcare compliance readiness, rapid setup for new locations, and AI features when selecting Dialpad Support. Knowing those priorities upfront made it easier to evaluate vendors and move quickly.
Audit your current customer contact channels
Before migrating, take stock of how customers reach you today, and where the gaps are. Are phone and chat experiences disconnected? Are calls logged manually into your CRM? Westward360 had an overly complicated phone tree that led to bottlenecked calls and a disjointed customer experience. Switching to Dialpad Support gave them real-time call analytics and end-to-end visibility into the customer journey in a single dashboard.
Map out a detailed migration plan
Choosing a provider isn't the finish line; you still need to plan the rollout. Fenway Health's IT director had a detailed enough plan to run a smooth, rolling implementation over a year, with each new contact centre team taking less time to onboard as the process became more efficient. (This cloud contact centre migration checklist can help with your own planning.)
Dialpad's CCaaS solution
Getting the right cloud contact centre infrastructure in place is a key part of delivering a better customer experience, no matter what's disrupting the business landscape.
CCaaS gives you flexible, cloud-based access to the features, tools, and support you need to run a modern contact centre. Learn more about Dialpad's contact centre solution and book a demo to see it in action.
Ready to see Dialpad's contact centre solution?
See how quickly your team can get set up, and how much administrative overhead Dialpad's platform takes off your plate from there.
CCaaS FAQs
CCaaS is adaptable. Even smaller teams can benefit from the scalability, lower upfront costs, and range of features it offers. The key is picking a vendor that lets you pay for what you use, scale as you grow, and choose modules you actually need instead of a full suite you'll never touch.
Moving to the cloud with CCaaS offers flexibility, scalability, and lower maintenance costs. Teams can work from anywhere without complex hardware, and updates happen automatically with minimal downtime. Cloud platforms also make it easier to integrate CRM, AI, and analytics tools, which can improve visibility, personalise service, and speed up response times.
Many can, though providers vary in how thoroughly. If you're in a regulated industry, confirm your CCaaS vendor offers enterprise-grade encryption, role-based access control, and relevant compliance certifications like SOC 2, GDPR, and other applicable standards for your industry, and ask for documentation or third-party audit reports to verify.
A phased rollout is usually the safer option. It lets you start with a smaller group, work out issues, and give teams time to adjust before expanding, though it can take longer to get everyone onto the same system.
A full migration gets you to the finish line faster and can simplify management, but carries more risk if something isn't set up the way you intended. The right approach depends on how ready your teams are and how much support you have for training and troubleshooting.
A traditional IVR routes callers through a fixed menu, and a chatbot answers from a script or knowledge base. An AI customer service agent can understand intent, take action inside connected systems, and resolve a request on its own, like checking an order status or rescheduling an appointment, rather than only directing the customer somewhere else.
It depends on the vendor and how the AI agent is priced (flat per-agent fee, usage-based by conversation, or bundled into a CCaaS tier). See the pricing section above for the main factors that typically affect cost.
Yes. Dialpad Support is built as a contact centre solution for Microsoft Teams, and its Salesforce integration lets agents take calls with an embedded CTI dialer directly inside Salesforce, with activity logged automatically.