23 Questions to Ask When Choosing Your Next CCaaS

There is so much choice out there when it comes to buying your next CCaaS platform it can be hard to work out what’s best for your operation. And the stakes are high! Get it wrong and you risk being stuck with tech that’s going to hold you back for years to come!

That’s why we asked our technology experts for the deeper questions decision-makers must ask when choosing a CCaaS platform, to help you avoid costly mistakes and missed opportunities.

1. Why Are Customers Contacting Us?

When selecting your next CCaaS platform, it’s tempting to prioritize automation capabilities first. However, the most successful strategies begin with a clear understanding of your customers.

For example, before launching any self-service journey, organizations must evaluate why customers are contacting them, which channels they prefer, and where friction exists.

Historical survey/NPS data can be helpful; perhaps your wrap-up codes track some insights too. But if AI is part of your CCaaS investment, the best tool for understanding your customers’ needs and preferences will be omnichannel Voice of the Customer (VoC).

2. Which Specific Use Cases Do We Want to Support?

When evaluating integration capabilities, it’s not enough to just ask whether a CCaaS platform integrates with something: you need to be precise about how and why.

Start by defining the specific use cases you want to support: for example, do you need real-time CRM data to personalize interactions, WFM integration for smarter scheduling, or order systems to enable agents to resolve queries in one conversation? Clarify what data should flow between systems, in which direction, and at what speed (real-time vs. batch).

Equally important is understanding the business outcome you expect: reduced handling time, improved first-contact resolution, better customer insights, or operational efficiency. Without clearly defined use cases and measurable benefits, integrations risk becoming costly and underutilized.

3. Who Is Going to Maintain the Underlying Knowledge Base?

AI agent assist technologies can significantly enhance productivity by surfacing relevant information in real time, but it’s essential to understand their limitations. These tools are highly effective at distributing knowledge, not defining it.

Contact centre leaders must ensure there are dedicated human resources responsible for creating, curating, and maintaining the underlying knowledge base. Without strong governance, agent assist can amplify outdated, inconsistent, or incorrect information at scale.

The onus is on the business – not the technology – to decide what “good” knowledge looks like. All this needs to be understood before investing.

When supported by clear ownership and processes, agent assist becomes a powerful enabler of consistency and efficiency. Otherwise, it can be a risk to accuracy and, ultimately, customer trust.

Contributed by: Dave McDowell, Senior Technical Consultant, Enghouse Interactive

4. Can Our Existing Customer Data Keep Pace With a Modern Platform?

You must interrogate your own business strategy. What is your actual goal? Are you trying to cut operational costs, or are you looking to improve customer satisfaction?

You must also honestly assess your current infrastructure: can your existing customer data keep pace with the integrations a modern platform requires?

5. Will the Vendor Deliver on Time?

When assessing vendors, look beyond marketing claims and request live customer references and relevant case studies. Where you can, ask to speak to operations of a similar complexity to your own.

It’s important to ask these references about the reality of the deployment process. Questions like, did the vendor deliver on time? Do they truly understand how your contact centre operates?

Answering these questions will save any potential pains from making decisions purely based upon price and flashy marketing material.

6. Does the Platform Future-Proof Our AI Strategy?

Ensure the platform future-proofs your AI strategy. Ask if their architecture supports best-of-breed large language models (LLMs) and the ability to change as the technology evolves.

Uncovering these technical and operational variables early safeguards your budget and ensures long-term agility.

Contributed by: Luke Cuthbertson, Head of CX Consulting Practice, Route 101

7. Will We Be Locked Into a Single AI Model?

Start with AI flexibility. Will you be locked into a single AI model, or does the platform support AI orchestration across multiple models from different vendors?

Also, is the CCaaS platform genuinely AI-ready, and can organizational data be coordinated through a customer data platform (CDP) to power AI capabilities?

8. How Robust Is Our Data Governance?

Data sovereignty also demands consideration, particularly for multinational operations. If you have presence in the UK, EU, and US, you must satisfy the distinct AI data processing requirements of each region.

Local data storage alone does not guarantee compliance; the vendor’s jurisdiction matters. Without robust data governance, even innovation leaders risk reputational damage.

9. What Are the Service Availability Guarantees?

Consider operational resilience. How does the platform perform at scale, and what are the service availability guarantees? Is the platform truly omnichannel or merely multichannel? Is workforce management (WFM) integrated natively?

10. Is 24/7 Support Available?

Validate the fundamentals! What security accreditations does the vendor hold, ISO 27001, SOC 2 Type 2, Cyber Essentials Plus, PCI DSS and beyond? Is 24/7 support available? How is training delivered, and from where? How many engineers are based in your territory, and do they hold the necessary security clearances? 

Contributed by: Martin Taylor, Co-Founder and Deputy CEO, Content Guru

11. What Do the Included QA Tools Actually Do?

When you’re on the hunt for a new CCaaS, you’re likely giving most of your attention to the wider platform.

Channels, routing, uptime, integrations. That’s totally fair, but it often results in the quality and analytics tools in the bundle getting a quick box-tick rather than a real review.

That can end up being a big mistake because whatever you get in that bundle will end up defining your quality strategy.

So, be sure to ask what it actually does. Does it evaluate a handful of phone calls each month, or can it review 100% of your conversations across a diverse set of channels? Can you build custom scorecards for sales, support, complaints, etc., or are you tied to rigid templates?

These things make a significant difference, so you do need to hold the QA layer to the same standard as the other items on your checklist.

Contributed by: Derek Corcoran, CEO, ScorebuddyCX

12. Does the Platform Integrate With the Tools Our Agents Already Use?

A CCaaS platform should fit around your existing workflows, not replace them wholesale. Evaluate how readily the platform connects with your CRM, ticketing system, and workforce management tools. Native integrations reduce implementation risk and accelerate time to value.

Equally important is the API layer – a programmable, open architecture gives your technical teams the flexibility to build custom workflows and adapt the platform as your needs change. Platforms that lock you into a closed ecosystem tend to generate significant re-platforming costs down the line.

Ask vendors to demonstrate live integrations with your specific tech stack before committing, and assess how frequently those integrations are maintained and updated.

13. How Is AI Applied Across Each Channel?

For AI capabilities, the gap between marketing claims and production-ready features is wide. When evaluating CCaaS platforms, ask specifically how AI is applied across each channel, and whether those capabilities are built natively or delivered through third-party add-ons.

Assess whether the platform supports your in-house AI models or otherwise vertical-specific AI models that reflect the language and context of your industry.

Generic large language models, applied broadly, should be avoided, as they tend to perform poorly on the specialist queries and terminology common in contact centre environments.

Ask for measurable outcomes from existing deployments: containment rates, handle time reduction, and agent satisfaction scores are more useful than lists of features.

14. Can Our Agents See the Full Customer Journey?

Most CCaaS vendors claim omnichannel capability, but the quality of channel unification varies significantly.

Before signing a contract, decision-makers should establish whether customer context travels seamlessly across channels within a single continuous conversation or whether agents are left working from fragmented interaction histories.

Ask vendors to walk through a realistic scenario: a customer starts on webchat, follows up by phone, then raises a complaint by email. Can the agent see the full journey? Is the routing intelligent enough to match the customer to the right skill set, not just the next available agent?

Unified interaction data is the foundation for effective AI and analytics, so the strength of a platform’s omnichannel architecture has consequences for every capability built on top.

A platform with fragmented channel data will limit what AI can learn, what analytics can surface, and how accurately the system can route, predict, and personalize, no matter how powerful the AI is.

Contributed by: Rodney Hassard, Head of Product, Applications, Vonage

15. What’s On Your AI Roadmap?

AI is now a major part of most CCaaS buying conversations, but leaders should look beyond broad promises. They should ask which AI capabilities are available today, which are roadmap items, and how each one improves measurable outcomes.

Important areas include virtual agents, agent assist, summarization, automated quality management, sentiment analysis, conversation intelligence, forecasting, and next-best-action recommendations. Buyers should also ask how AI is trained, monitored, governed, and improved over time.

16. Can the Platform Scale Without Adding Operational Complexity?

Scalability is more than the number of agents a platform can support. Contact centre leaders should ask whether the CCaaS solution can handle seasonal peaks, new business units, geographic expansion, remote teams, outsourced partners, and additional channels – without becoming difficult to manage.

They should evaluate administration, role-based permissions, routing changes, queue management, reporting structures, and tenant or business-unit separation.

A platform that works well for one team may become complicated when deployed across multiple brands, regions, or service lines.

Buyers should ask how quickly they can add users, launch new queues, update IVR flows, introduce new channels, or onboard a new partner. The right platform should support growth while keeping administration, governance, and reporting manageable.

17. How Disruptive Will Adoption Be for Our Agents?

A CCaaS purchase is not successful when the contract is signed. It is successful when agents, supervisors, administrators, and customers experience the improvement.

Leaders should ask how implementation will be managed, what internal resources will be required, how long migration typically takes, and what support is available before, during, and after launch.

They should also ask about training, change management, testing, data migration, number porting, integration validation, and cutover planning. Adoption is especially important for agents and supervisors because even powerful platforms fail when users find them confusing or disruptive.

Buyers should ask vendors for realistic implementation plans, references from similar deployments, and examples of common challenges. The platform should be evaluated not only for capability but for deploy-ability.

18. What Will the Total Cost Look Like After the First Year?

Pricing should be evaluated beyond the headline licence cost.

Contact centre leaders should ask what is included in the base subscription and what costs extra, including AI features, digital channels, call recording, analytics, storage, workforce tools, support levels, integrations, professional services, usage-based charges, and overage fees.

They should also consider the cost of migration, training, customization, and internal administration.

A platform that appears less expensive upfront may become costly if key capabilities require add-ons or custom work. Buyers should request pricing based on realistic usage scenarios, not just ideal assumptions.

Contributed by: Tatiana Polyakova, COO, MiaRec

19. Can Your System Mine All My Interactions in One Place?

The most important thing is to ask whether the platform can analyse every interaction across every channel collectively.

Not just what customers said, but how they said it, in what context, and what that might mean for your service before it becomes a complaint.

If you’ve bought voice from one vendor, chat from another, and email from a third, you’ll have three dashboards telling three different stories. You’ll never get that joined-up picture.

A unified platform can give you AI-driven analytics that surface pre-emptive actions from patterns you may otherwise miss. So ask your vendor: can your system mine all my interactions in one place and tell me what to do next? If the answer involves a third-party integration or a six-month roadmap, keep looking.

Contributed by: Ben Neo, Head of CX EMEA, Zoom

20. Will It Give My Managers and Agents Autonomy?

Buying decisions can often prioritise items such as channel coverage over user experience. So, I’d start with questions on both autonomy and usability, which makes the lives of managers and staff easier, takes pressure off IT and keeps you agile.

Business cases also often rely on channel shift, efficiency gains, and incremental productivity improvements and whilst important, can have a hard ceiling. You can optimise routing, reduce AHT, and add channels, but the root causes of contact demand often persist.

21. Does the Platform Have the Extensibility I’ll Need to Be Able to Fix Any Issues?

So, my next question is whether the CCaaS platform offers true extensibility, enabling a move from multi-channel response to end to end resolution.

After all, contact centres sit at the front line of upstream failures, so a modern platform must not only include native AI, automation, and business intelligence to identify and manage, but also have platform extensibility to actually FIX issues. Without this you can quickly run out of road when trying to transform services.

Contributed by: Lewis Gallagher, Senior Solutions Consultant, Netcall

22. How Open is the Platform’s AI Layer – and Who Controls It?

Any AI voice capabilities should be evaluated across multiple dimensions like naturalness, latency, language coverage, and outcomes against your KPIs in live conversations.

You should also consider how the platform integrates with any external AI tools you might have or consider for your configuration.

23. How Does the Platform Manage the Handoff Between Human Agents and AI – and Vice Versa?

As voice AI handles more and more call routing, the handoff to a human agent becomes one of the most important moments in the interaction.

Make sure you’re checking how well your CCaaS platform performs during these – how well it identifies the escalation need, how fast the transfers are, and what context the AI agent passes along to the rep.

Contributed by: Eli Goodman, Growth, ElevenLabs

What Questions Did You Ask When You Bought Your Current CCaaS?

Click here to join our Readers Panel to share your experiences and feature in future Call Centre Helper articles.

For more great insights and advice from our panel of experts, read these articles next:

• Are Your Virtual Agents Escalating Far Too Many Queries?
• How to Centralize Your Data – Before Scaling AI
• 12 Amazing Things You Can Now Do With Customer Preferences

Author: Megan Jones
Reviewed by: Jo Robinson