Autonomous customer service agent handling 70%+ of support queries — powered by Gemini 2.0, grounded in enterprise knowledge via Vertex AI Search, deployed on web and Dialogflow CX. Customers get instant answers; your team handles only the complex cases.
We implement a production-grade conversational AI agent on Google Cloud — integrating Gemini 2.0 with your CRM, grounding it in your internal knowledge via Vertex AI Search, and deploying it via Dialogflow CX to your web, mobile, and messaging channels. The agent handles authentication, account actions, and escalation — fully configurable to your service policies.
The same questions — order status, returns, account changes, billing — consume the majority of support team bandwidth, leaving complex issues under-resourced.
High query volume combined with limited support headcount creates multi-day response backlogs that frustrate customers and drive churn.
Customers who can't get timely answers leave — research shows 32% of customers stop using a brand after one bad service experience.
Dialogflow CX manages complex multi-turn conversations with state, context, and memory across the interaction — handling follow-up questions naturally.
The agent pulls live account data at query time — order history, subscriptions, past interactions — so customers never repeat themselves.
When escalation is needed, the human agent receives a full conversation summary, identified issue type, and customer sentiment — no re-explanation required.
Gemini 2.0 Flash supports 40+ languages natively, allowing a single deployment to serve global customers without separate language configurations.
Configurable content policies prevent the agent from providing inappropriate advice, making commitments outside policy, or engaging with off-topic requests.
We implement CRM integration as part of the deployment — typically connecting to Salesforce, HubSpot, Zendesk, or your custom system via secure API calls made at conversation time. When a customer authenticates (via existing session or short verification), the agent retrieves their account data in real time. Data is never stored in the agent layer — it is fetched per session and discarded afterward.
The agent's knowledge base is grounded in Vertex AI Search, which indexes your internal documentation. When you update a policy document, FAQ, or product guide in your source system, it is re-indexed automatically. Policy changes take effect in the agent within minutes of document update — no manual retraining required for knowledge updates.
Yes. We implement an authentication flow where the agent verifies customer identity through your existing auth system before performing account-level actions. The scope of autonomous actions — what the agent can and cannot do — is fully configurable during implementation. Actions outside approved scope trigger an escalation to a human agent.
Dialogflow CX supports deployment across web chat, mobile app, WhatsApp Business, Facebook Messenger, Telephony (IVR), and Google Business Messages. We typically launch on your primary channel first and extend to additional channels in subsequent sprints. Voice deployments use Dialogflow CX's telephony integration with Google's Text-to-Speech and Speech-to-Text APIs.
Stop making customers wait days for answers. We implement a production-ready Conversational AI agent in 3 weeks.