PROOPAI in your company
AI agent for your business. It answers in chat and picks up the phone.
We match the AI agent to your company’s needs: a chat agent, an assistant for your team or one for your customers. Together, we decide before the rollout which company data it can access.
Scope
An agent matched to who it talks to
We start with tasks your team does by hand today. We build the agent on a ready-made solution or to order, and you get a quote after our conversation. Automation, applications and integrations without an agent are described separately.
Types of agents
Chat agent
The agent talks in the chat on your website, on Discord, in Google Chat, on WhatsApp or in Messenger. On Discord, every agent and every task has its own channel, and the team sees the results of their work in one place.
Team assistant
An example from our own rollouts: an action in a ClickUp task triggers a Make.com scenario, an OpenAI model writes the email subject and body, and the draft lands in Gmail.
Customer assistant
It answers your customers based on data we choose together in the rollout plan.
Voice agent
It answers calls or makes them, following an agreed call flow. We build it in Retell AI or ElevenLabs.
Team training
We train your team on AI and on using the agent we have rolled out.
Data inside the company
The agent can work on data that stays inside the company
An AI agent can run on your company’s local data: on a server, for example in a GPU cloud such as RunPod, that is, a rented server with graphics cards, or on hardware in your office. In the second option, the data does not have to leave the company. Before the rollout, we describe which data the agent can access.
Voice agent
An AI agent answers the phone
A voice agent conducts a phone call following an agreed flow: it answers calls or dials out itself. We build it in Retell AI or ElevenLabs. An example from our own rollouts: an agent in Retell AI calls leads from ClickUp, and Make.com with OpenAI saves a summary of the call as a comment on the task, so the salesperson sees the next steps.
Does our company data have to go to an external AI service?
Not necessarily. When the agent runs on hardware in your office, the data can stay in the company. The other option is a server in a GPU cloud, for example RunPod. We choose the option together and describe the data scope before the rollout.
Ready-made solution or a custom agent?
We do both. We build the agent on a ready-made solution or to order, and you get a quote after our conversation.
Will our team learn to use the agent?
Yes. We train your team on AI and on using the tools we have rolled out, including the agent.
Contact
Let’s talk about an AI agent for your company
You tell us who is to talk to the agent and what data it should work on. We present the type of agent and a quote after our conversation.
