Design enterprise-ready AI agents from day one

Build AI agents inside a governed execution environment where model usage, data access, and deployment policies are enforced from the start.

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Used by leading security and AI transformation teams

KOA
Northwestern
ArcelorMittal
BuzzFeed
Learning Care Group
Mars

Build agents inside a controlled execution layer

Airia enables teams to design, test, and deploy AI agents within defined enterprise guardrails. Every agent inherits centralized policies governing model access, tool usage, and deployment standards, reducing complexity while maintaining control at scale.

Configure the model for the work

Choose a model, shape its instructions, and configure reasoning, web access, tools, and guardrails in one place.

GPT-5.5gpt-5.5Change model

Generation

Instructions1 segment(s)

You are an expert Procurement Document Analysis Agent. Your role is to analyze procurement, sourcing, contracting, and vendor-related documents and extract accurate, structured, and actionable information.

Your objectives are:

Read the entire document before extracting information. Consider the full context instead of relying only on headings or isolated sections.

Prompt Builder

TemperatureGPT-5.5 uses a fixed temperature of 1. Custom values are not supported.

1Fixed default

Reasoning EffortTrade off depth of reasoning vs. latency.

FastBalancedDeep

Web SearchAllow the model to search the web for up-to-date information.

Knowledge

Use Data SourcesWhen enabled, an MCP server is deployed and connected to the AI model.

Extend agents with secure Python

Run custom logic in a controlled execution environment without moving sensitive workflows outside the platform.

Route work and shape data

Add approvals, branches, loops, and reusable formatters while keeping each execution step visible.

RouterOrchestrates execution across multiple routes

Conditional BranchSplits the flow using defined conditions

Human ApprovalPauses execution for human review and approval

Form ReviewReview and approve structured form data

Webhook ApprovalPauses execution for external system approval

Loop overRun steps several times

CompareCompares two values using various operators

Delay StepDelays the execution for a specified period

If StepEvaluates conditions and branches execution

MarkItDownConverts documents to markdown format

JSON Formatter

FilterFilters a JSON array, keeping only matching items

MergeCombines data from two input arrays

Message FormatterFormat messages using templates with variables

SortSorts a JSON array by one or more fields

Publish wherever work happens

Deliver agents through chat, collaboration, inbox, schedules, webhooks, or reusable sub-agents.

Add powerful agent behaviors

Enable CSV, file, and knowledge loops as built-in capabilities the agent handles automatically.

Evolve agents without losing history

Create named drafts, document what changed, and publish tested versions without overwriting the work that came before.

Other people's drafts6

All versionsNew Draft

Procurement intake baselineDraftUpdated 18 minutes ago · IhorDefined core supplier, amount, and due-date fields.

Approval-ready extractionDraftUpdated yesterday · IhorAdded human review for high-value requests.

Production procurement assistantPublishedPublished 3 hours ago · IhorPublished the validated approval workflow.

Policy-aware reviewv203 months ago · IhorAdded policy checks before review routing.

Structured document parsingv193 months ago · IhorMapped source documents to the procurement schema.

Initial procurement workflowv184 months ago · IhorEstablished the first document-to-review flow.

From agent creation to production-grade execution

Building agents is easy. Running them inside real business operations is not. Airia is designed for organizations moving beyond experimentation, embedding governance, context, and operational discipline directly into how agents are built, tested, and deployed.

Connect agents to trusted enterprise data

Ground agent outputs in approved business systems and 1,000+ tools and data sources, with access governed from one platform.

Apply guardrails before agents run

Set policies for model access, tools, permissions, and execution so teams can build quickly inside defined boundaries.

Test every workflow before deployment

Validate prompts, branches, tool calls, and outputs in the same environment used to build and publish the agent.

Keep people in approval-critical steps

Add human approvals and structured form review where business decisions require oversight before an agent continues.

Coordinate agents across complex workflows

Connect agents, models, code, and business systems in visible workflows that stay manageable as execution expands.

Monitor execution from build to production

Track deployments and operational activity without handing the workflow to a separate toolchain.

Build agents your business actually adopts.

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