Documentation

    Pyra helps teams turn repeatable, time-consuming work into reliable execution. AI Agents can gather context, reason through steps, take actions, and produce deliverables—while humans stay in the loop for judgment, approvals, and exceptions.

    Getting Started

    First workflow in production

    Core Concepts

    Agents, tools, approvals, audit trails

    Integrations

    Connecting the tools you already use

    Administration

    Users, roles, permissions

    Quickstart

    1

    Create your workspace

    Set up your isolated environment.

    2

    Add context

    Connect sources (docs, URLs, knowledge bases) and upload key materials.

    3

    Pick one workflow to start

    Begin with one process, then expand.

    4

    Set guardrails

    Configure permissions, approvals, and escalation rules for high-impact actions.

    5

    Run your first job

    Review the run log to see what the agent did, why, and the outputs.

    Core Concepts

    Zero Touch Operations (ZTO)

    Outcomes by default, people by exception.

    Private by design

    Each customer operates in an isolated environment with dedicated data stores and clear separation of access and activity.

    Approvals and audit trails

    Configure approvals for irreversible or sensitive steps. Every run includes an audit trail so teams can review inputs, actions, and outputs.

    Exports and deliverables

    Generate polished outputs and export to common formats like DOCX, PDF, and CSV.

    Best Practices

    • Start narrow: launch one workflow, stabilize quality, then expand.
    • Put approvals on steps that change external systems or send outbound communications.
    • Keep a single source of truth: store reference docs and brand rules in your workspace context.
    • Review audit trails regularly to tighten prompts, permissions, and exception handling.

    Support

    Need help?

    Contact our support team at hello@pyrabuilds.ai