
Our onboarding and go-live went smoothly, and the biggest reason was hands-on support from our Qualified contact. He helped us prepare a rollback plan before launch. He then monitored conversations closely through the first weekend, flagged edge cases (people testing or trying to break the agent), and shared regular updates. That made launching a customer-facing AI agent on our website a lot less stressful. The conversation analytics dashboard makes it easy to see volume and quality, and the ability to create a separate production experience that filters out internal test traffic keeps reporting clean. Known-lead recognition is also valuable because it lets us tell existing contacts apart from net-new visitors. Review collected by and hosted on G2.com.
The agent needs ongoing tuning. Some visitors use it for off-topic or work-related questions with no buying intent, so you need to set up guardrails and monitor early on. Junk conversations can also flow into your marketing automation platform, so plan for filtering on your side. Review collected by and hosted on G2.com.


