How to Achieve Real AI Containment
An actionable guide for CX and operations leaders on how to build resolution-driven containment that actually reduces cost, effort, and repeat contact.

What’s inside
- Why most “containment” metrics overstate success and hide unresolved customer demand
- What real AI containment looks like when resolution, not deflection, is the standard
- How a journey-led approach changes which use cases should be automated (and when)
- How to expand AI containment while preserving resolution quality and operational efficiency
- The containment framework and metrics CX leaders need to drive sustained, measurable ROI
This guide outlines a clear, phased approach to containment designed to help CX leaders scale AI responsibly, reducing effort for customers and teams while delivering measurable, compounding ROI.
Companies seeing real results
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Deliver faster, personalized support in half the time
Our Generative AI solutions accurately answer, personalize user interactions, and take action across the entire support workflow.
- Automatically resolve customer questions with chat
- Accelerate support teams with co-pilot
- Proactively analyze customer interactions with Insights


Not just a chatbot, a complete customer experience
Maven goes beyond last generation chatbots, holistically transforming customer interactions into seamless, intuitive experiences
Ask about Maven Voice the AI Agent for Live Calls
Any language. Anytime. Anywhere.
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Frequently asked questions
Question
What is Maven AGI and how does it differ from a traditional chatbot?
Maven AGI is a native agentic AI platform for customer support, not a rules-based chatbot or scripted virtual assistant.
Traditional chatbots are primarily designed to:
- Answer FAQs
- Route tickets
- Follow predefined decision trees
Maven AGI, by contrast, uses agentic AI—meaning the AI can:
- Understand customer intent across complex, multi-turn conversations
- Reason through problems using context from systems of record
- Take real actions (e.g., updating accounts, issuing refunds, resolving cases)
- Decide when to escalate to a human agent
In practice, Maven AGI behaves more like a fully trained support agent than a bot. It is built to autonomously resolve real customer issues end-to-end rather than deflecting or triaging them.
How does Maven AGI integrate with existing customer support systems?
Maven AGI is designed to integrate directly with a company’s existing customer support, CRM, and backend systems, rather than replacing them.
It connects to systems such as:
- Ticketing platforms (e.g., Zendesk, Salesforce Service Cloud)
- CRMs and customer databases
- Order management, billing, and account systems
- Knowledge bases and internal documentation
- Identity, permissions, and workflow tools
Through these integrations, Maven AGI can read from and write to systems of record, allowing it to:
- Pull customer history and context
- Update tickets or cases
- Execute workflows and transactions
- Log actions and outcomes for auditing and review
This approach allows companies to layer Maven AGI into their current support stack without major re-platforming.
What types of tickets can Maven AGI really take action (refunds, case updates) on behalf of support agents?
Yes. Maven AGI is explicitly built to take real, controlled actions—not just generate responses.
Depending on configuration and permissions, Maven AGI can:
- Issue refunds or credits
- Modify orders or subscriptions
- Update account details
- Resolve and close support tickets
- Trigger internal workflows
These actions are governed by:
- Predefined business rules
- Role-based permissions
- Approval thresholds where required
- Audit logs and observability tools
This ensures Maven AGI operates safely and predictably while still delivering the autonomy needed to meaningfully reduce support workload and resolution times.Learn more about our AI Agent Designer.
Does Maven believe that ai will replace human agents?
Simply stated, no. The Maven AGI platform was built and designed so that simpler tasks can be handled by autonomous agents so that live agents can focus on relationship building and increasing long-term customer value and satisfaction.
Our CEO, Jonathan Corbin authored an article in Fast Company about Klarna's recent workforce reduction, cut 2,000 job. Six months later customer satisfaction declined significantly and service quality collapsed. Their CEO now admits they "prioritized cost over experience."
Read more here.



