Choosing the Right AI Partner
There are many vertical agents specializing in agentic AI for CX and support teams. We understand the complexity of this decision and this guide provides frameworks and questions needed to confidently choose the right AI partner.
What’s inside
- How to determine whether you build vs buy
- What real GenAI looks like
- Deployment requirements
- The AI data flywheel
- Privacy & security standards
- Accuracy beyond RAG
This guide is built to help CX, support, and operations leaders make data-driven decisions that lead to measurable efficiency, happier customers, and long-term success.
Companies seeing real results
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When we put Maven’s AI agents head-to-head with the top players in the space, the tool consistently delivered the most human-like and effective customer experiences while resolving issues faster. Our internal CSAT assessment showed them to be 15%+ better than everyone else.
Customer support is often a tradeoff between quality, speed, and cost. But with Maven, we don’t have to compromise. We can give our customers the very best support while keeping our team lean.
With Maven's attribution for knowledge and actions, we no longer have to guess how an answer was constructed.This feature has been especially valuable in building internal confidence and accelerating AI adoption across our organization and with our customers.
Maven AGI autonomously handles 90% of incoming queries allowing our support agents to focus on strategic initiatives, enhancing operational efficiency and customer satisfaction.
I initially thought the main benefit would be efficiency—fewer associates, faster ticket resolution. And while that happened, the overall impact was much bigger. The quality of our tickets improved significantly.
Just one week into the trial, rep solves per hour increased 25%. With increased efficiency on reactive operational support, we can invest more heavily in the proactive retention dollar activities.
Maven AGI is harnessing artificial intelligence to deliver outcome-driven agents that deeply understand customers, resolve complex issues, and take real-time actions on their behalf. We are thrilled to invest in Maven AGI to accelerate the development and adoption of Agentic AI innovations in the market.
Maven handles complex, sensitive support questions with the warmth and clarity our customers rely on. As we look to the future, integrating voice AI is the next natural step… We’re thrilled to work with Maven to make this a reality!
Maven AGI is an exciting example of how our Realtime API can support powerful speech-to-speech use cases. We’re eager to support the team as they transform customer experiences and deliver personalized resolutions at scale.
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.