01
Design the agent
Studio is the workspace for prompts, skills, tools, and handoff rules. An agent is assembled here before it is tested.
Platform
Every customer conversation starts as a designed interaction
Conversia’s AI agent management platform is the workspace where those interactions are designed, tested, attached to a channel, and reviewed. This page describes that loop. It does not report time-to-value or production outcomes.
AI agent lifecycle
02
Test the agent
Simulations and version history sit in this step so a conversation can be tried before it is offered to a customer.
03
Put the agent on a channel
Voice, chat, and messaging are the surfaces an agent can be attached to. Languages and voices are configured here.
04
Review what happened
Logs, transcripts, and notes from live conversations come back into the same workspace so the next version can be edited.
What sits in the platform
- Platform overviewHow design, test, scale, and review sit together.
- StudioThe workspace used to design an agent.
- TestSimulations, versions, and review before go-live.
- ChannelsVoice, chat, and messaging as deployment surfaces.
- ReviewConversation logs and the feedback loop after launch.
- IntegrationsCCaaS, CRM, and data systems the platform is meant to sit beside.
Why this layout exists
Keep design and live traffic apart
Studio and test are listed before channels so a conversation can be tried without presenting it as already in production.
Keep channels explicit
Voice, chat, and messaging are named as surfaces. The site does not claim a language count or a country count.
Keep review in the same product
Logs and transcripts belong next to the design, so the next version is edited in the same place.