Vocion is a small set of resources — intelligence, context, interfaces, and controls — that compose into production AI workflows. They connect through a single operating loop, so each feature reinforces the others.
What you author and run — agents composed of skills, the tools those skills call, and the workflows that sequence them.
Named identities composed of skills — with a system prompt, subagents, and budgets.
An agent’s role: typed logic + built-in acceptance evals + the tools it can call. Authored as prompt or plugin.
The atomic capabilities a skill calls — retrieval, object lookup, operations, and human review. Extend with your own.
Multi-step sequences of skills with human approval gates. Resumable, traceable.
What agents know — owned, versioned, and improving over time.
Canonical business records — definitions, field mappings, and relationships.
Connect CRM, email, support, databases, and your own APIs. Inbound integration.
Procedural knowledge the agent reads on demand.
Approved rules captured from reviewer feedback.
Scored datasets per agent — test changes before they ship.
The UX components where people work with agents.
Streaming chat surface (SSE) built for long-running agent runs.
Approval gates, revision, and escalation where judgment matters.
Capture reviewer feedback inline — the input to the learning loop.
The registry, run traces, and metrics in one operating surface.
The production controls that make AI work dependable.
Run anywhere; expose Vocion to the tools and agents around you.
Vocion as an MCP server — agents callable as tools from any MCP client.
Expose and call agents over an Agent-to-Agent interface for multi-agent systems.
Trigger and expose workflows from your app, API, or scheduled jobs. Outbound.
Drive and review work from the surfaces your team already lives in.
Some processes need a clear sequence of steps; some need an agent that can investigate, reason, call tools, and delegate to subagents. Most real business workflows need both — and Vocion runs them on the same operating loop, with the same context, review, observability, and budgets underneath.