Build AI powered Virtual Voice Agents on Dialogflow CX for Omni-Channel Communication
Budget: $1,500 – $3,000 USD
Project Overview: We are seeking an experienced developer or development team to build virtual agents on Google Dialogflow CX that will handle inbound and outbound calls to prospects, SMS chat, and provide a complete omni-channel communication experience for lead nurturing and filtering for various industries. Ideally, these virtual agents should combine traditional conversational design available in Dialogflow CX with a large number of fallback intents routed thru a Chat GPT type API to handle unexpected client utterances and respond intelligently. In effect, this could be like a subroutine to give the closest possible simulation to a real human interaction, while being designed to get the conversation back on track within the correct flow in the sales/ customer service process.
The virtual agents will be integrated with an API friendly CCaaS solution with live agents as and end route to handle exceptions or to close sales. The initial agent design shall be for a real estate investment firm purchasing commercial properties. Additional versions are planned for retail automotive industry, Insurance Industry (Life, Health, Property). The right person/team could benefit a long-term engagement once with have a MVP to deliver to our client.
Project Requirements:
Develop hybrid virtual agents on Dialogflow that can handle inbound and outbound calls, SMS chat, and provide an omni-channel communication experience.
Integrate the virtual agents with GrupoNGMG.com contact center software solutions to route calls to agent while passing captured data to the system for continuity of conversation on all customer interactions.
Experience Required:
Prior experience in
Experience in building virtual agents and integrating with CRMs via API and telephony applications, and more specifically in Dialogflow CX to create complex call flows for in-bound and outbound sales processes with an emphasis on outbound SMS and phone calls.
Experience in training Generative Large Language Models and machine learning to fine-tune models for optimal virtual agent performance.
Experience with RESTful APIs and webhooks.
If you are interested in this project, please provide a portfolio showcasing your experience in building virtual agents and specifically in creating complex call flows in Dialogflow CX. NDA required to receive additional project details.
The virtual agents will be integrated with an API friendly CCaaS solution with live agents as and end route to handle exceptions or to close sales. The initial agent design shall be for a real estate investment firm purchasing commercial properties. Additional versions are planned for retail automotive industry, Insurance Industry (Life, Health, Property). The right person/team could benefit a long-term engagement once with have a MVP to deliver to our client.
Project Requirements:
Develop hybrid virtual agents on Dialogflow that can handle inbound and outbound calls, SMS chat, and provide an omni-channel communication experience.
Integrate the virtual agents with GrupoNGMG.com contact center software solutions to route calls to agent while passing captured data to the system for continuity of conversation on all customer interactions.
Experience Required:
Prior experience in
Experience in building virtual agents and integrating with CRMs via API and telephony applications, and more specifically in Dialogflow CX to create complex call flows for in-bound and outbound sales processes with an emphasis on outbound SMS and phone calls.
Experience in training Generative Large Language Models and machine learning to fine-tune models for optimal virtual agent performance.
Experience with RESTful APIs and webhooks.
If you are interested in this project, please provide a portfolio showcasing your experience in building virtual agents and specifically in creating complex call flows in Dialogflow CX. NDA required to receive additional project details.