This contact center software buyer’s guide covers the seven criteria that matter most when evaluating platforms in 2026 – from AI capabilities and omnichannel routing to integration depth, security standards, and total cost of ownership.
When purchasing contact center software in 2026, buyers should evaluate seven core criteria: AI and automation capabilities, omnichannel routing and consistency, agent experience and tooling, integration with existing technology stacks, security and compliance standards, scalability and deployment flexibility, and total cost of ownership. Getting this decision wrong is expensive – the average CCaaS migration takes 6-12 months and costs significantly more than the license fee alone.
TL;DR – The 7 Evaluation Criteria
- AI & Automation: Evaluate platforms based on native AI capabilities, not third-party bolt-ons.
- Omnichannel: Ensure seamless channel switching within a single unified agent interface.
- Agent Experience: Prioritize unified desktops that eliminate application toggling and reduce cognitive load.
- Integration: Demand deep, pre-built integrations with existing CRM and UCaaS systems.
- Security: Verify compliance certifications and data sovereignty controls for AI processing.
- Scalability: Choose cloud-native architectures capable of rapid, elastic seat provisioning.
- Total Cost of Ownership: Calculate TCO based on consolidated licensing rather than fragmented modular pricing.
This guide works through each criterion in turn, with specific questions to ask shortlisted vendors and a comparison of how leading platforms perform against each. As Simon Leyland, CEO and Co-Founder of Cloud Interact, told CX Today the market shift happening right now is hard to overstate: “The conversations that we had last year, maybe 80% were about migrating contact centers. This year, that has totally flipped – it’s 20% migration, 80% AI.” The architectural decisions vendors made before that shift now determine how much value their AI features can actually deliver.
1. What AI and Automation Capabilities Should a Contact Center Platform Include?
A modern contact center platform should include AI-powered agent assist, real-time transcription and sentiment analysis, automated summarization of every interaction, intelligent routing based on customer history and intent, and autonomous AI agents capable of resolving Tier 1 queries without human handoff. Platforms built on AI-native architecture outperform retrofitted legacy systems on all five dimensions.
What is the difference between AI-native contact center software and AI-added platforms?
AI-native contact center software is built with AI embedded into the core infrastructure from the ground up – routing logic, data models, and interaction workflows are all designed to support machine learning from day one. AI-added (or bolt-on) AI sits as a layer on top of existing architecture, which limits how deeply it can be integrated and how consistently it delivers results across channels.
The practical consequence matters at procurement stage. First-generation CCaaS platforms – and legacy on-premise systems migrated to the cloud – were never designed for this. As Vinod Muthukrishnan, VP and GM of Webex CX at Cisco, told CX Today:
“It’s never been easier to build an AI agent. It’s, however, never been harder to make it enterprise-grade. And that’s the dichotomy we’ve got to deal with.”
When evaluating vendors, push them on this directly: is your AI built into your core infrastructure, or is it a third-party integration? The answer shapes everything from handle time reduction to long-term roadmap access.
How does AI agent assist work in a contact center?
AI agent assist monitors live customer interactions in real time, giving the human agent contextual information, suggested responses, knowledge base articles, and compliance prompts – without the agent having to search for any of it manually. Post-call, it generates an automated summary of the interaction, cutting after-call work by 3-5 minutes per contact.
The key differentiator between vendors is where this assist capability actually lives. On AI-native platforms, assist draws from a unified data layer that includes the full customer history across all channels. On bolt-on platforms, it is limited to whatever data the integration can surface – which is typically narrower and slower.
What is an AI agent and when should it handle customer queries autonomously?
An AI agent – sometimes called a virtual agent or conversational AI agent – is an autonomous system that understands customer intent, retrieves relevant information, and resolves queries without human involvement. Unlike agent assist, which supports a human agent, an AI agent handles the interaction end to end.
They work best on high-frequency, low-complexity queries: account balance checks, password resets, order status inquiries, appointment scheduling. The results from early adopters are compelling: organizations using agentic AI are already reporting a 35% improvement in customer satisfaction, a 27% increase in revenue, and a 21% reduction in costs (Metrigy, 2025-26). Gartner predicts that by 2029, agentic AI will autonomously resolve 80% of common customer service issues – but only on platforms architected to support it natively.
One thing to verify: the threshold for autonomous handling vs. human escalation should be configurable by your organization, not fixed by the vendor.
2. How Important Is Omnichannel Capability When Choosing Contact Center Software?
Omnichannel capability is a procurement priority. Forrester predicts that one in four brands will see a 10% increase in successful self-service interactions by end of 2026 – but only where channels are unified enough for AI to handle them consistently (Forrester, 2026). A contact center platform should manage voice, digital (email, chat, SMS, social), and video interactions from a single unified queue, with full context preserved across channel switches – not separate point solutions bolted together.
What channels should a contact center software platform support in 2026?
The minimum expectation in 2026 is native support for voice, email, web chat, SMS, and at least two social or messaging channels – typically WhatsApp and Facebook Messenger. These are standard expectations at this point, not differentiators. Where vendors start to separate is on video – for complex, high-value interactions – and asynchronous messaging, which lets customers continue a conversation across sessions without starting from scratch.
Vinay Gopinath, Director, Global Advertising Platforms Technical Product Owner at The Coca-Cola Company, describes what genuine omnichannel orchestration delivers in practice:
“You’re not just sending emails or push notifications, you’re orchestrating a truly omnichannel experience. It’s incredibly powerful.”
What is the difference between multichannel and omnichannel contact center software?
Multichannel means a contact center can receive contacts via multiple channels. Omnichannel means those channels share a single queue and a single customer record – so an agent handling a chat can see the same customer called yesterday, and a customer can switch from chat to voice without repeating themselves.
The distinction is architectural, and it matters more than the label. Many vendors describe themselves as omnichannel but operate separate queues per channel with data stitched together after the fact. The best way to test this is to ask vendors to demonstrate live context persistence across a channel switch during your evaluation – that tells you more than any product deck.
How does a unified queue improve contact center performance?
A unified queue routes all interaction types – voice, digital, video – through the same logic engine, using the same customer data and the same agent skills framework. This means AI-powered routing improvements apply universally rather than channel by channel, and supervisors get a single view of operational performance rather than separate dashboards per channel.
Organizations with a unified queue consistently report faster speed-to-answer, lower average handle time, and higher first-contact resolution – because the routing algorithm has more complete customer context at the moment of assignment.
3. What Agent Experience Features Should Contact Center Software Provide?
Contact center software should give agents a single unified interface – no toggling between applications – with embedded AI assist, full customer history, real-time guidance, and automated post-call wrap-up. Despite growing AI investment, 95% of customer service leaders plan to retain human agents (Gartner, 2025) – making agent experience a direct driver of long-term performance, not a problem AI will simply eliminate.
What is a unified agent desktop and why does it matter?
A unified agent desktop consolidates every tool an agent needs – customer history, interaction handling, knowledge base, AI assist, and internal communication – into a single interface. Without it, agents typically switch between multiple applications per interaction, which adds meaningful increases in handle time, error rates, and day-to-day cognitive load.
Zeus Kerravala, Principal Analyst at ZK Research, told CX Today:
“Frontline agents spend at least 20-30% of their time just switching between applications. Supervisors then can’t get a single source to understand how productive people are.”
Kerravala’s research also found that only 3% of organizations operate from a single unified platform, while most manage four or five different technologies. The human cost of that fragmentation – in training, errors, and customer outcomes – is what a unified desktop is designed to eliminate.
How does AI reduce agent workload in a contact center?
AI reduces agent workload across the full interaction lifecycle. Before a call, it surfaces customer history and predicted intent so agents are not starting cold. During the interaction, it provides real-time guidance, next-best-action prompts, live transcription, and compliance alerts. After the call, it generates a summary and updates the CRM automatically – eliminating the manual after-call work that eats into agent capacity.
Of these, automated post-call summarization tends to deliver the most immediate, measurable impact. Saving 3-5 minutes per interaction adds up fast across a 200-agent operation. Verify upfront whether this is included in the base platform tier or priced as an add-on.
What supervisor and quality management tools should a contact center platform include?
A complete platform should include native workforce management (scheduling and forecasting), AI-powered quality scoring that evaluates 100% of interactions rather than a sampled manual review, real-time monitoring dashboards, and supervisor coaching tools – whisper, barge, and silent monitoring. These should not be separate purchases.
AI quality management is a particularly significant shift from legacy approaches. Traditional QA programs typically sample 1-3% of interactions. AI-powered scoring covers every interaction against consistent criteria, giving supervisors a far more accurate picture of performance and freeing them to focus on coaching rather than scoring.
4. How Should Contact Center Software Integrate With Existing Business Systems?
Contact center software must integrate natively with your existing CRM, workforce management platforms, and core business applications via open APIs. Integration depth is the critical variable: screen-pop latency above 2 seconds measurably increases handle time and reduces customer satisfaction.
What CRM integrations should a contact center platform support?
The four enterprise CRM environments you will most commonly need to integrate with are Salesforce, HubSpot, Microsoft Dynamics, and ServiceNow. Each should have a pre-built, bidirectional connector – meaning interaction data flows into the CRM and CRM data populates the agent desktop, with screen-pop latency under 2 seconds.
A connector existing and a connector performing well in production are two different things. During vendor evaluation, ask for a live demonstration of the CRM integration in a realistic environment – not a sandboxed demo with pre-loaded data. Most integration failures emerge in that gap between a listed capability and actual performance.
Why does integration complexity increase risk during contact center modernization?
Contact center modernization is not a simple technology swap. These systems sit at the center of customer operations, tied to billing, CRM, identity, compliance, and analytics tools. Without the right integration approach, organizations often deploy new tools but fail to achieve meaningful improvements in CX or cost efficiency.
Melissa Dougherty, Managing Director for Americas Partners at AWS, told CX Today:
“Organizations modernizing their contact centers need partners who can cut through complexity and deliver real results, fast. TTEC Digital’s deep Amazon Connect expertise and proven deployment frameworks help customers move from legacy platforms to AI-powered customer experiences with less risk and faster time-to-value.”
Why does UCaaS and CCaaS integration matter for contact center buyers?
When your internal communications platform and your contact center run on separate systems, every expert escalation becomes a multi-step process: leave the interface, find the right internal expert, brief them on the customer context, return to the interaction. That friction adds handle time and reduces the quality of the handoff.
Running UCaaS and CCaaS on a single platform eliminates that entirely. Platforms that unify UC and CC – such as Cisco Webex, RingCentral, and Zoom – let agents pull a colleague into a customer conversation without the customer ever knowing. This also removes duplicate licensing, integration overhead, and the maintenance cost of keeping two separate systems synchronized.
5. What Security and Compliance Standards Should Contact Center Software Meet?
Contact center software must meet a minimum baseline of SOC 2 Type II, PCI DSS (for payment-handling operations), and GDPR compliance for European customer data. Healthcare deployments require HIPAA eligibility. AI-specific compliance – audit trails on AI-generated summaries and decisions – is now an emerging procurement requirement as EU AI Act obligations take effect in 2026.
What compliance certifications should a contact center vendor hold?
The non-negotiable baseline for enterprise contact center software in 2026 is SOC 2 Type II (security and availability controls independently audited), PCI DSS Level 1 (for any contact center handling card payments), and GDPR compliance for organizations serving European customers. For healthcare, HIPAA eligibility – not just HIPAA claims – should be verified directly with the vendor’s legal team.
One thing that often gets overlooked: when reviewing vendor security credentials, request the most recent third-party audit reports rather than accepting what is on the website. SOC 2 Type II reports contain findings and exceptions that do not appear on a vendor’s self-published security page, and those details matter for procurement decisions.
How is AI changing the security threat landscape in contact centers?
AI has significantly raised the sophistication of attacks targeting contact centers. Synthetic voice fraud, deepfake impersonation, and AI-powered social engineering are now production-level threats – not hypothetical ones. In the last quarter of 2024, roughly one in three US consumers reported encountering some form of synthetic-voice fraud (TechRadar, via CX Today).
Ron Zayas, CEO at Ironwall by Incogni, told CX Today:
“We need to start looking at authentication not as a black and white yes or no, but as a continuum of probability. You are 95% likely to be Ron, or 25% likely to be Nicole – and that entitles you to different things.”
That shift – from binary pass/fail authentication to risk-proportionate, graduated verification – is increasingly how enterprise security teams are approaching contact center platform evaluation. When assessing vendors, ask how their authentication framework adapts to action risk, not just identity verification.
How should AI decisions in a contact center be audited for compliance?
As AI-generated summaries, routing decisions, and quality scores become standard features, organizations need to be able to retrieve and audit those outputs – particularly where AI influences a decision that affects a customer directly. The EU AI Act, with obligations taking effect through 2026, introduces specific transparency and auditability requirements for AI systems used in customer-facing contexts. Ask vendors: are AI-generated outputs logged? How long are they retained? Can compliance teams retrieve them at the individual interaction level?
6. How Scalable and Flexible Should Contact Center Software Be?
Contact center software must be scalable enough to add seats, channels, and geographies instantly without requiring a migration project. Cloud-native CCaaS platforms are the only architectures that deliver genuine on-demand elasticity, which is critical for organizations with seasonal demand spikes or rapid growth trajectories.
What is the difference between cloud-native, hosted, and on-premise contact center software?
Cloud-native contact center software is built entirely for cloud deployment – multi-tenant, microservices-based, and designed to scale individual components independently. Adding 500 seats or a new channel is a configuration change, not an infrastructure project.
Hosted contact center software is a different thing, even if it gets described similarly. It typically means legacy software running on cloud infrastructure – the same monolithic architecture, just in a vendor-managed data center rather than yours. The scalability constraints are largely the same as on-premise. On-premise itself still has a place for organizations that need maximum infrastructure control, but it comes at higher total cost and with more limited access to AI development roadmaps.
When a vendor describes their product as “cloud-based”, dig deeper: is it multi-tenant cloud-native, or a hosted version of a legacy system? The answer determines your real scalability ceiling.
How quickly should a contact center platform be able to scale seat count?
A cloud-native CCaaS platform should provision new seats within hours. For organizations with seasonal peaks – retail during the holiday period, financial services at tax season – that elasticity is operationally critical. Ask vendors to provide a documented seat provisioning SLA and, if possible, demonstrate it live during the evaluation process.
The real-world impact of getting this right is significant. After migrating to Amazon Connect, Capital One reported it could roll out new features in weeks rather than the three to six months required by its previous on-premise system (CX Today, 2026). That speed-to-change is what cloud-native scalability actually means in practice.
Mike Burrows, Director of CX Solutions at Miratech, told CX Today:
“Some vendors scale up automatically without you even seeing it happen. Others have people monitoring it – and a lot of times, when you scale up, you’re stuck paying for what you scaled up to. You can never scale down.”
Scalability is not just a technical question. It is a commercial one. Verify both the architecture and the pricing model before committing.
7. How Should You Evaluate the Total Cost of Contact Center Software?
Contact center software total cost of ownership (TCO) extends well beyond the per-seat license fee. Implementation, integration work, training, ongoing support, and the cost of maintaining separate UCaaS and CCaaS licenses all contribute to the true 3-year cost. Gartner predicts that by 2028, more than 50% of customer service organizations will double their technology spend – without an equivalent reduction in headcount (Gartner, 2026). Getting the cost model right from the start matters more than ever.
What cost components should a contact center software TCO model include?
A complete 3-year TCO model should account for: per-seat license fees (base platform plus any AI, analytics, or premium channel modules priced separately); implementation and professional services; integration development and ongoing maintenance; training – both initial onboarding and the ongoing investment as the platform evolves; internal IT resource for platform management; and support tier costs, since standard and premium SLAs are often priced very differently.
AI features deserve particular attention here. They are frequently priced outside the base license, and the gap between a vendor’s headline per-seat price and the all-in cost of the capabilities on your requirements list is often significant. Clarify the full AI pricing structure – agent capabilities, quality management AI, custom features – before any commercial negotiation begins.
How is AI changing the economics of contact center software?
The traditional per-seat license model is under pressure. As AI automation handles more interactions autonomously, organizations will need fewer human agent seats over time – which creates a direct conflict with revenue models built on seat counts. This is shifting the market toward consumption-based and outcome-based pricing, where organizations pay for interactions handled or outcomes achieved rather than seats provisioned.
Dave Michels, Lead Analyst at Talking Pointz, told CX Today:
“The CRM promise of improving that customer relationship really hasn’t delivered and it’s become very, very expensive. What’s going to happen is we’re going to re-evaluate how we do this customer relationship management.”
That re-evaluation extends directly to the contact center stack. Organizations carrying the cost of a legacy CRM, a separate CCaaS platform, and a standalone UC system are paying an integration tax – in dollars, in IT resource, and in the ongoing cost of keeping three systems synchronized. Consolidation is increasingly the answer, and the TCO math is compelling.
Does consolidating UCaaS and CCaaS on one platform reduce costs?
For most organizations, yes. Consolidating unified communications and contact center onto a single platform removes duplicate license fees, eliminates the integration layer between two separate systems, reduces the vendor relationships you need to manage, and simplifies training and support. According to research from ZK Research, 67% of CFOs and CIOs want to consolidate the number of vendors they work with – a priority that translates directly into how contact center platforms get evaluated and selected.
When building your TCO model, ask every shortlisted vendor for an itemized pricing breakdown: base platform, AI features, additional channels, and premium support priced separately. It is the only way to make a genuine like-for-like comparison.
Contact Center Software: Platform Comparison 2026
The platforms below represent a sample of the market and are selected to illustrate how leading vendors approach each evaluation criterion. This is not an exhaustive list – the CCaaS market includes many other capable providers. Buyers should evaluate vendors against their own requirements, integration landscape, and risk profile.
| Criterion | NICE CXone Mpower | Genesys Cloud | Five9 | Cisco Webex CC | Zoom Contact Center |
|---|---|---|---|---|---|
| AI Capabilities | Enlighten AI suite purpose-built for CX; native conversational AI, auto-summarization, and behavioral coaching; unmatched WEM AI heritage | Genesys AI embedded natively for predictive routing, agent assist, and journey orchestration; strong generative AI copilot capabilities | Genius AI suite with high attach rates for AI Agents; strong focus on practical, rapid-deployment conversational AI and workflow automation | Cisco AI Assistant and AI Concierge; AI WEM covering human and AI agents; unique focus on AI observability and guard-railing via Cisco AI Defense | AI-native architecture; Zoom Virtual Agent (ZVA) and AI Expert Assist built in; real-time transcription and autonomous Tier 1 resolution |
| Omnichannel | Deep digital-first routing; unified queue across 30+ channels; advanced journey analytics and interaction recording | Market-leading journey orchestration; seamless blending of inbound/outbound voice and digital channels | Strong voice heritage combined with robust digital channels; fluid omnichannel agent desktop | CCaaS + UCaaS + CPaaS convergence; persistent memory across channels and modalities | Voice, digital, and native video in a single unified queue; video built on Zoom’s proprietary UC infrastructure |
| Integrations | Deep enterprise partnerships with AWS, ServiceNow, and Snowflake; extensive CXexchange marketplace with pre-built connectors | Strategic $1.5BN investment from Salesforce and ServiceNow driving deep, native CRM convergence | API-first architecture; extensive pre-built CRM integrations (Salesforce, Zendesk, Microsoft) reducing custom dev needs | Universal Harness integration layer; native integrations with Webex Calling, ServiceNow, and Salesforce; Splunk for observability | Native UCaaS + CCaaS on one platform; deep integrations with Salesforce, ServiceNow, and Zendesk; open API framework |
| Security & Compliance | FedRAMP Authorized, HITRUST, SOC 2 Type II, PCI DSS Level 1, GDPR; global data residency options | FedRAMP Authorized (Moderate), SOC 2, HIPAA, GDPR, PCI DSS Level 1; regional cloud deployments for data sovereignty | SOC 2 Type II, PCI DSS v4.0, HIPAA, ISO 27001, GDPR; TX-RAMP Level 2 certified | FedRAMP Authorized (Webex CC Enterprise for Government); Cisco AI Defense; advanced DLP; India data center GA 2026 | FedRAMP Authorized (Moderate, 2024); SOC 2 Type II, GDPR, HIPAA-eligible; encrypted data in transit and at rest |
| Scalability | Microservices cloud architecture proven at largest global scale; two nine-figure enterprise deployments confirmed in 2025 | Highly elastic AWS-backed microservices infrastructure; excels in complex, multi-region enterprise deployments | Highly scalable cloud architecture; double-digit CCaaS revenue growth driven by global enterprise expansion | Global carrier-grade infrastructure; hybrid flexibility with on-premise AI agent now GA for UCCE/PCCE environments | Cloud-native elasticity; rapid seat provisioning; FedRAMP Moderate infrastructure; proven at 15,000+ seat scale |
| TCO Considerations | Comprehensive native WEM/WFO reduces need for expensive third-party tools; high ROI on agent efficiency gains | Platform convergence and all-in-one licensing reduces integration overhead and IT maintenance costs | Predictable subscription pricing; strong white-glove implementation services reduce professional services overhead | Broad portfolio (CCaaS, UCaaS, CPaaS) reduces vendor sprawl; leverages existing Cisco hardware and network investments | Consolidated UCaaS + CCaaS eliminates duplicate licensing and integration layer between systems; simplified single-vendor administration |
| Gartner MQ Position (2025) | Leader | Leader | Leader | Niche Player | Niche Player |
Source: Gartner Magic Quadrant for CCaaS 2025 (CX Today rundown). Vendor capability notes compiled from publicly available product documentation and CX Today editorial coverage. This table is intended as a starting point for evaluation, not a definitive ranking.
Frequently Asked Questions: Purchasing Contact Center Software
What is the most important feature to look for in contact center software?
AI capabilities are now the primary differentiator when purchasing contact center software. Look specifically for AI-native architecture, autonomous AI agents for Tier 1 resolution, and real-time agent assist - transcription, next-best-action, and automated post-call summarization. Platforms built with AI at the core consistently outperform retrofitted systems across handle time, satisfaction scores, and agent experience. Gartner predicts that by 2028, at least 70% of customers will use a conversational AI interface to start their customer service journey.
What is the difference between CCaaS and on-premise contact center software?
CCaaS (Contact Center as a Service) is cloud-native software delivered via subscription with no owned infrastructure. On-premise runs on hardware the organization owns and maintains. CCaaS typically deploys in weeks rather than months, carries lower upfront cost, and scales on demand. On-premise offers greater infrastructure control, but at significantly higher TCO and with more limited access to AI innovation roadmaps.
How much does contact center software cost?
Cloud CCaaS typically costs between $75 and $250+ per agent per month, depending on channels, AI capabilities, and support tier. That headline number rarely reflects the true cost. A 3-year TCO model - covering implementation, integration, training, and support - is the right basis for comparison. Gartner predicts more than 50% of customer service organizations will double their technology spend by 2028 - without an equivalent headcount reduction (Gartner, 2026). Getting TCO right at procurement stage has never been more important.
What is an AI agent in a contact center?
An AI agent is an autonomous system that understands customer intent, retrieves relevant information, and resolves queries without human involvement. Unlike agent assist - which supports a human agent during a live interaction - an AI agent handles the interaction end to end. They are most effective on high-frequency, low-complexity queries: password resets, account inquiries, order status checks. Modern AI-native CCaaS platforms include AI agents as a native capability, not a bolt-on.
What does omnichannel mean in a contact center?
Omnichannel means customers can move between channels - voice, email, chat, SMS, social, video - without losing context. A single unified queue handles all interactions, and agents see the complete customer history regardless of which channel was used previously. This is architecturally different from multichannel, where channels operate in separate queues and context is lost between them.
What security certifications should contact center software have?
The minimum baseline for enterprise deployments is SOC 2 Type II, PCI DSS Level 1 (for payment handling), and GDPR compliance for European customer data. Healthcare requires HIPAA eligibility. In 2026, AI audit trail capability is an increasingly standard enterprise requirement - the ability to log, retrieve, and demonstrate AI-generated decisions, as EU AI Act obligations take hold. With synthetic voice fraud now affecting roughly one in three US consumers, authentication framework depth is also a critical evaluation criterion.
Should contact center software and unified communications be on the same platform?
For most organizations, yes. A single platform for UCaaS and CCaaS removes the integration layer between the two systems, reduces licensing complexity, and lets agents escalate to internal experts without leaving the contact center interface. Platforms that offer native UCaaS and CCaaS together - such as Cisco Webex, RingCentral, and Zoom - remove the latency, cost, and operational overhead of running them separately.
How long does it take to implement contact center software?
Standard cloud-native CCaaS deployments typically take 4-12 weeks, depending on integration complexity and seat count. Heavily customized or on-premise deployments run considerably longer - 6-18 months is common. Phased migration approaches, where workloads move step by step rather than in a single cutover, are increasingly standard practice for reducing risk and disruption during the transition.
About the Author
Sean Nolan is a Technology Journalist at CX Today. He has experience reporting on software that impacts customer trust, including marketing, communications, and IT service management. Connect with Sean on LinkedIn.
