Airia review

Airia is an enterprise control plane for finding and managing AI tools, models, agents, and apps—including unapproved “shadow AI.” It is not just an agent builder: the platform is designed to apply policies when AI requests happen, route work through approved models and tools, and keep records of decisions.

Its runtime controls can allow or block requests, require approval, redact context, or log decisions when policies evaluate a request. Teams can also build and run agents across models, frameworks, and data sources, with policy controls in place. Airia says its governance documentation maps to frameworks including the EU AI Act, NIST AI RMF, and ISO 42001.

The pitch is centralized oversight: discover what AI is in use, set rules for it, and preserve audit evidence. That may suit organizations that need governance across multiple AI systems. The available information does not specify which integrations or discovery methods are included, so buyers should confirm coverage for their own environment.

Airia’s main strength is that it combines discovery, runtime enforcement, agent building, routing, and audit records in one platform. That gives organizations a way to address more than one part of AI governance: finding tools people are using, controlling requests, and documenting policy decisions for review.

The runtime options are concrete. Policies can allow or block a request, send it for approval, redact context, or log the decision. That is more useful for governance than a tool that only inventories AI usage, particularly when teams need controls to apply while requests are being made.

Airia also covers agent workflows. The platform supports building and running agents across models, frameworks, and data sources, while routing requests through a governed gateway of approved models and tools. Its governance documentation is mapped to named frameworks, including the EU AI Act, NIST AI RMF, and ISO 42001. Those features could reduce the work of assembling separate systems for agent development, oversight, and evidence. But the published information does not spell out the depth of framework mapping or the specific audit artifacts, so we would ask Airia to show those against your requirements before buying.

The buying case is hard to price out beyond the lower tiers. Listed monthly prices are $50 for Individual and $25 for Professional, but they cover different things: Individual includes one user and 1,000 agent executions; Professional includes two team members, up to 2,500 workflow executions, and five agent workflows. Those execution measures are not directly comparable.

The Free plan is limited to one user, 100 agent executions a month, and up to 10 agents. Team is listed at $250 per month, but its limits are presented as alternatives: unlimited users or 15 team members, 10,000 agent executions or up to 50,000 workflow executions, and 20 agents or 100 agent workflows. Confirm which schedule applies before comparing it with another platform.

Annual prices, add-on and overage prices, and Enterprise pricing are not published. Enterprise has custom execution limits, and its trial duration is also not published; Individual and Team list 14-day trials. The plan information does not make the full cost of scaling predictable.

Airia has a free plan, and the lowest paid price listed is $25/month for Professional. That plan covers two team members, up to 2,500 workflow executions per month and five agent workflows. Individual costs $50/month for one user, 1,000 agent executions and 10 agents, so it is not the cheapest paid option.

Team is $250/month. Its limits depend on the schedule: the pricing details list either 10,000 agent executions or up to 50,000 workflow executions, and either 20 agents or 100 agent workflows. Confirm which schedule applies before comparing it with Professional. Enterprise pricing is custom; limits are custom too.

Airia lists a 14-day trial for Individual and Team; Enterprise trial duration is not published. Monthly prices are listed, but annual rates, add-on prices and overage costs are not. Airia says Enterprise capabilities are included in one license. Execution and workflow caps use different units, so tier jumps are not direct like-for-like comparisons.

Airia is a control plane for discovering AI tools, enforcing runtime policies, building agents and routing requests through approved models and tools. A move could therefore involve more than transferring agent definitions: map current agents, models, tools, MCP servers, data sources, policies and approval paths before deciding what to rebuild. The published materials do not publish migration steps, supported import formats, data-export options or portability terms. Confirm those with Airia before committing, especially if you may need to move audit records or workflows later.

We also do not have Reddit posts or comments in the published material, so we cannot substantiate what tends to make users leave. For a buying decision, ask Airia to explain how to export configurations and audit evidence, what happens when execution limits are reached, and how cancellation affects stored data. Those answers matter when pricing and overages are not fully published.