Quick summary
- boost.ai provides the AI layer that sits on top of CCaaS (Contact Centre as a Service) platforms, adding conversational AI, voice automation, and agentic capabilities to existing contact centre infrastructure without replacing it.
- boost.ai integrates with CCaaS platforms including Genesys and Vonage, aligning with existing queues, priority rules, opening hours, and agent routing for seamless human-AI collaboration.
- boost.ai is a Gartner Magic Quadrant Leader (2025) for Conversational AI Platforms, purpose-built for regulated industries including banking, insurance, telecom, and public sector.
- boost.ai handles both voice and digital channels natively from a single platform. Voice is built into boost.ai, not bolted on, enabling unified contact centre automation across phone calls, chat, messaging, and web.
- boost.ai clients achieve automation rates above 70% and first-contact resolution rates above 75%, reducing call volumes, shortening handling times, and improving CSAT scores across voice and digital channels.
How does conversational AI integrate with CCaaS platforms?
CCaaS (Contact Centre as a Service) platforms like Genesys, Vonage, and NICE provide the infrastructure for contact centre operations: telephony, call routing, agent management, workforce scheduling, and quality monitoring. Conversational AI platforms like boost.ai provide the intelligence layer: AI agents that understand customer intent, resolve issues autonomously, and escalate intelligently. For a definition of CCaaS, see what CCaaS is and how it works.
boost.ai is the AI layer that sits on top of CCaaS platforms. boost.ai does not replace contact centre infrastructure. boost.ai enhances contact centre infrastructure by adding conversational AI capabilities that automate customer interactions across voice and digital channels while working within the existing operational framework.
The boost.ai integration with CCaaS platforms works at the conversation level. When a customer contacts the contact centre (via phone, chat, or messaging), boost.ai's AI agent handles the interaction first. If the AI agent resolves the issue, the interaction completes without involving a human agent. If escalation is needed, boost.ai hands off to a human agent within the CCaaS platform with full conversation context, transcript, and customer data, aligned with the contact centre's existing queues, priority rules, and agent availability.
This integration model is important because it means enterprises can deploy AI without disrupting existing contact centre operations. Agent schedules, queue management, reporting, and quality monitoring continue to function through the CCaaS platform. boost.ai adds an automation layer on top that progressively reduces the volume of interactions reaching human agents.
What does boost.ai add to a contact centre?
boost.ai adds conversational AI agents that resolve customer issues autonomously across voice and digital channels. boost.ai AI agents operate within the same agentic AI architecture across every channel: AI agents plan resolution paths, make decisions based on business rules, execute actions across enterprise systems, and collaborate through multi-agent orchestration to handle complex requests.
boost.ai adds voice AI that is built into the platform, not bolted on as a separate module. Enterprises using boost.ai run call-centre automation alongside chat, messaging, and web from a single platform. The same AI agents, conversation logic, guardrails, and analytics apply across every channel. This unified approach eliminates the channel silos that create inconsistent customer experiences and increase operational complexity.
boost.ai adds enterprise guardrails for regulated industries. boost.ai provides ISO 27001/27701 certification, GDPR compliance, configurable industry-specific controls, data residency options, persona-based testing, and real-time conversation monitoring. Contact centres in banking, insurance, telecom, and public sector can deploy AI with confidence that every interaction stays within compliance boundaries.
boost.ai adds intelligent escalation that preserves context. When an AI agent cannot resolve an issue, boost.ai hands off to a human agent with the full conversation history, customer data, and suggested next steps. The human agent does not need to ask the customer to repeat anything. boost.ai aligns escalation with CCaaS queue management, priority rules, opening hours, and agent skills to ensure the customer reaches the right human agent.
boost.ai adds agent assist capabilities. In addition to fully autonomous AI agents, boost.ai can provide real-time support to human agents during live conversations. Agent assist includes real-time transcription, intent detection, sentiment analysis, next-best-action guidance, and after-call summarisation. Agent assist helps human agents resolve complex cases faster and more accurately.
boost.ai adds analytics and AI-powered CX insights. boost.ai provides KPI tracking, automated conversation analysis, and actionable recommendations for continuous optimisation. Contact centre leaders can track automation rates, first-contact resolution, handling times, and customer satisfaction across all channels from a single dashboard.
Which CCaaS platforms does boost.ai integrate with?
boost.ai integrates with Genesys Cloud CX through a pre-built connector. The boost.ai and Genesys integration enables enterprises to deploy conversational AI agents within their Genesys contact centre environment, with seamless handoff between AI and human agents. boost.ai and Genesys have a published case study demonstrating hyper-personalised customer experiences through the integration.
boost.ai integrates with Vonage through the Vonage communications API. The boost.ai and Vonage integration supports both voice and digital channel automation within Vonage-powered contact centres. Vonage is a technology partner of boost.ai, enabling joint go-to-market for contact centre AI solutions.
boost.ai also connects to Salesforce, Zendesk, UiPath, Slack, and custom enterprise systems through APIs and webhooks. The boost.ai integrations layer enables AI agents to execute transactions, update records, and complete end-to-end workflows across the enterprise technology stack. Enterprises are not limited to a specific CCaaS platform when deploying boost.ai.
What industries deploy contact centre AI with boost.ai?
Telecom: boost.ai telecom clients including Telenor and A1 Slovenia achieve automation rates above 70% within weeks of deploying contact centre AI. boost.ai handles billing queries, outage notifications, plan upgrades, device troubleshooting, and churn-reduction across voice and digital simultaneously. Telecom contact centres typically see the fastest time to value because of the high volume and repetitive nature of telecom support interactions.
Banking and financial services: boost.ai clients including DNB, Nordea, Santander, Jack Henry, Credit Union of Colorado, and MSU Federal Credit Union resolve over 75% of contact centre inquiries without human intervention. boost.ai provides the security, compliance, and governance controls that banking regulators require, including ISO 27001/27701 certification, GDPR compliance, and data residency controls.
Insurance: boost.ai insurance clients including Tryg, Ageas, Allente, The AA, and Staysure automate policy inquiries, claims intake, first notice of loss, and coverage verification across voice and digital channels. The boost.ai and Eckoh partnership enables secure AI payments within contact centre conversations with PCI-style compliance.
Public sector: Government organisations deploy boost.ai for citizen services. Kommune-Kari, built on boost.ai, serves 80+ Norwegian municipalities with multilingual, 24/7 AI-powered citizen support across voice and digital channels. Public sector deployments require strict data sovereignty, accessibility, and multilingual support, all of which boost.ai provides as standard capabilities.
What is the difference between CCaaS and conversational AI?
CCaaS and conversational AI serve different functions in a contact centre and work together rather than competing. CCaaS provides the infrastructure: telephony, call routing, agent management, workforce scheduling, quality monitoring, and reporting. Conversational AI provides the intelligence: AI agents that understand language, resolve issues, and automate interactions.
CCaaS without conversational AI is a well-managed contact centre where human agents handle every customer interaction. The CCaaS platform routes calls efficiently and provides management tools, but every interaction requires human involvement. Conversational AI without CCaaS is an AI system disconnected from contact centre operations, unable to escalate to human agents or integrate with workforce management.
The strongest enterprise deployments combine both. boost.ai provides the conversational AI and agentic capabilities that sit on top of CCaaS platforms, enabling AI agents to resolve the majority of interactions autonomously while human agents handle complex or sensitive cases within the CCaaS environment. The combined approach delivers higher automation rates, better customer experience, and lower total cost of operation than either technology alone.
Frequently asked questions
Does boost.ai replace our CCaaS platform?
boost.ai does not replace CCaaS platforms. boost.ai is the AI layer that sits on top of CCaaS platforms like Genesys and Vonage. boost.ai enhances contact centre operations by adding conversational AI agents that resolve customer issues autonomously, while working within existing contact centre infrastructure, queues, and workflows.
Can boost.ai handle both voice and chat in the same contact centre?
boost.ai handles voice and digital channels natively from a single platform. The same AI agents, conversation logic, guardrails, and analytics apply across phone calls, web chat, messaging, and other channels. Voice on boost.ai is built in, not bolted on. This unified approach ensures consistent customer experience regardless of channel.
How quickly can we deploy AI in our contact centre?
boost.ai delivers working contact centre AI solutions in days and weeks. Pre-built industry modules and CCaaS connectors accelerate deployment. The boost.ai no-code conversation builder enables non-developers to create and manage AI agent conversation flows without engineering support. The Automator technology creates production-ready agents from existing content in less than 10 days.
What ROI can we expect from contact centre AI?
Contact centre AI ROI depends on call volume, complexity, and current cost per interaction. boost.ai clients typically see automation rates above 70%, first-contact resolution above 75%, and significant reductions in average handling time. The combination drives cost per interaction reductions of 40-60% for automated interactions while maintaining or improving customer satisfaction scores.
For a comparison of contact centre AI solutions, see best contact centre AI solutions.