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Contact center technology, organized for decisions.

Nine technology categories mapped to the seven layers of the stack: what each one does, which layers it serves, and what breaks when the choice is wrong.

Each category below shows
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What the category does
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Which layers of the stack it serves
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The questions to settle before you buy
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Vendors in it, A to Z, with no order of merit
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A link to its vendor profiles
The Orchestration Model

Seven layers. Every CX technology maps to at least one.

Each layer of the stack has its own owner, dependencies and governance. Knowing which layer a technology lives in tells you who should own it, what it depends on, and what governance it requires.

7
Layer 7

Analytics, Feedback & Governance

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6
Layer 6

Routing & Experience Orchestration

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5
Layer 5

Conversation Management

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4
Layer 4

Reasoning & Planning

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3
Layer 3

Policy & Guardrails

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2
Layer 2

Workflow Execution

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1
Layer 1

Data Access

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Interactive

7-Layer Orchestration Map

Live scenarios showing how interactions flow through all 7 layers. Role lenses, KPI dashboard, AI vs human routing.

Launch Map →
Nine Decision Domains

These are buying decisions. Each one carries real risk.

Every category is framed around the decision a CX leader faces. Each one maps to specific orchestration layers, has distinct budget owners, and carries different risks when you choose wrong.

Voice · Digital · Agent desktopLayers 5, 6, 7

Contact Center Platforms (CCaaS)

The foundational platform for voice, digital channels, routing, and workforce management. Most enterprises already have one: the real question is whether to optimize, extend, or replace.

Questions to settle before you buy
Should we switch platforms at all?When do add-ons beat a replacement?Platform-native AI or a specialist?
Vendors named here (A to Z)

8x8, Amazon Connect, Cisco, Five9, Genesys, NICE, Talkdesk, Zoom

See Contact Center Platforms (CCaaS) vendors →
IVA · Bots · Autonomous ResolutionLayers 4, 5

IVA and Conversational AI

The fastest-moving category in the stack. From legacy intent-based IVAs to LLM-native virtual assistants and fully autonomous AI workers handling multi-step tasks.

Questions to settle before you buy
Platform-native AI or a specialist?Where could it fail in production?What containment is realistic for us?
Vendors named here (A to Z)

Ada, Cognigy, Google CCAI, Kore.ai, Microsoft (Nuance), PolyAI

See IVA and Conversational AI vendors →
Real-time Intelligence · RAG · Knowledge AILayers 4

Agent Assist and Knowledge

Real-time guidance, knowledge retrieval, summarization, and next-best-action delivered to agents during live interactions. The adoption gap here is enormous.

Questions to settle before you buy
Real-time help or after-contact work?How is each answer grounded in our knowledge?What will make agents use it?
Vendors named here (A to Z)

Coveo, Cresta, Guru, Observe.AI, Shelf, Uniphore

See Agent Assist and Knowledge vendors →
WEM · QM · WFM · CoachingLayers 7

Workforce and Quality Management

Forecasting, scheduling, quality monitoring, coaching, and performance management. AI is moving QA from reviewing a small sample of contacts toward evaluating every one.

Questions to settle before you buy
Which contacts need AI QA and which need people?How good is our forecast when volume swings?Which schedule levers control cost?
Vendors named here (A to Z)

Calabrio, Five9, Genesys WEM, NICE, Verint

See Workforce and Quality Management vendors →
Speech · Text · Journey AnalyticsLayers 7

Experience Analytics and VoC

Understanding what's actually happening in customer interactions, sentiment, topics, root cause, journey patterns, versus what your dashboards claim is happening.

Questions to settle before you buy
Which metrics point to a root cause?Can we see a journey across our systems?What would speech analytics have to change to pay back?
Vendors named here (A to Z)

CallMiner, Genesys, Observe.AI, Qualtrics, Verint

See CX Analytics vendors →
Routing · Integration · Process AutomationLayers 2, 6

CX Orchestration and Workflow

The glue layer. How interactions get routed, how systems share data, how workflows execute across CRM, CCaaS, and back-office systems.

Questions to settle before you buy
Where should routing decisions live?How do CCaaS, CRM and ITSM share data?Integration platform, RPA or a workflow engine?
Vendors named here (A to Z)

Camunda, MuleSoft, Pega, UiPath, Workato

See Routing and Orchestration vendors →
ITSM · EX-CX OverlapLayers 1, 2

Enterprise & Employee Service

When internal service management belongs in the CX stack and when it doesn't. The overlap between employee experience and customer experience creates real architectural questions.

Questions to settle before you buy
When does ITSM belong in CX?What should stay separate?Where do employee and customer service meet?
Vendors named here (A to Z)

BMC, Freshservice, Jira Service Management, ServiceNow

Explore the vendors →
PCI · Authentication · FraudLayers 3

Payments, Identity and Trust

The compliance and security layer that most CX strategies ignore until something breaks. PCI, authentication friction, fraud prevention, and identity verification within the service workflow.

Questions to settle before you buy
How is card data kept out of scope?How much authentication effort is right?How do we stop fraud without blocking customers?
Vendors named here (A to Z)

Adyen, BioCatch, Forter, PCI Proxy, Sift, Stripe

See Payment Technology vendors →
Chat · Messaging · Social · CPaaSLayers 5

Digital Engagement

Multi-channel digital engagement platforms, conversational messaging, social media management, and CPaaS. The layer that connects your brand to customers on the channels they use.

Questions to settle before you buy
Messaging or live chat?How will we handle service on social channels?CPaaS or the platform's own digital channels?
Vendors named here (A to Z)

Ada, Gladly, Intercom, Khoros, Sprinklr, Zendesk

See Digital Engagement vendors →
Architecture Evolution

Spend shifts from infrastructure to AI.

How the architecture, the automation and the cost driver change from one era to the next. It describes the shape of the change and carries no prices. To put numbers on your own operation, run the TCO calculator.

Architecture
CCaaS core + add-on AI + some RPA/iPaaS
Core Components
CCaaS (omnichannel), IVA/VA, WEM suite, RPA/iPaaS, analytics, knowledge
Tier 1 Automation
IVA and virtual agents plus simple workflows
Primary Cost Driver
Human labor + SaaS licenses
Unit of Optimization
Cost per contact

Where automation resolves more of the work, the measure that matters moves from cost per agent to cost per successfully completed task.

Calculate your stack's TCO →

Need help navigating the stack?

Whether you're evaluating platforms, planning an AI pilot, or trying to make sense of the vendors you have today, we connect you with vetted consultants who specialize in your stack, vertical, and transformation stage.