Air

Air is an AI agent control center purpose-built for teams that want to automate research, content, and operational tasks with multiple task-focused agents – while keeping humans firmly in charge. Instead of a single conversational assistant, Air lets you orchestrate several specialized agents in parallel, each responsible for a distinct step in a larger workflow. It provides built-in approvals, guardrails, and full audit logs, so nothing changes in your critical systems without explicit human review.

• Multi-agent task management: Launch and coordinate several specialized agents at once, with each agent owning a specific step in a workflow (for example, research, drafting, and review).
• Human-in-the-loop controls: Insert approvals, limits, and checkpoints so agents cannot update critical systems, send communications, or finalize outputs without explicit human sign-off.
• Tool and data integrations: Connect agents to email, documents, spreadsheets, and SaaS applications so they can read real work assets, make updates, and operate in your actual stack.
• Reusable playbooks: Save successful runs as templates for recurring tasks like weekly reports, outreach sequences, or routine cleanup jobs – reducing re-prompting and preserving consistency.
• Centralized oversight dashboard: Monitor every running and completed agent run, track progress, and inspect outputs from a single pane of glass.
• Audit trail and logging: Every agent action, decision, and hand-off is automatically logged for compliance, debugging, and post-run reviews.

1. Sign up and set up your workspace: Create an account on air.dev, invite team members, and define basic roles and permissions.
2. Connect your tools and data sources: Integrate the email, documents, spreadsheets, and SaaS apps your agents will need to access or update.
3. Define a workflow or select a playbook: Start from a reusable template or build a new multi-step process (e.g., research → draft → approval → send).
4. Assign specialized agents to each step: Configure which agents handle which tasks, set their scopes, and specify when they should hand off to the next stage.
5. Add approvals and checkpoints: Place guardrails where human review is required – for example, before sending a finalized report or updating a live system.
6. Launch the agent run and monitor: Agents run in parallel or sequence as designed. Watch the dashboard for progress, review interim outputs, and approve at the necessary gates. After a successful run, save it as a new playbook for future reuse.

Air operates on a paid, custom pricing model. Public pricing details are not available on the website. Interested teams need to contact Air’s sales or request a demo to receive a quote tailored to their usage, number of agents, and integrations.
Disclaimer: Pricing information may change. For the most accurate and current details, refer to the official Air website.

• Web application: The primary console accessible via modern browsers; no desktop app required.
• API access: Enables programmatic integration of your tools and data sources, and opens possibilities for custom connectors.
• No mobile app mentioned: The platform appears optimized for desktop/tablet browser use, typical of an operations console.

• Start with low-risk, well-defined tasks before branching into complex workflows, so your team learns how agents behave and where checkpoints are most valuable.
• Involve domain experts when designing approval gates; they know which steps absolutely require human judgment.
• Iterate on your playbooks – after a few runs, refine agent instructions and checkpoint placement to reduce friction without sacrificing control.
• Keep a human in the loop for any external-facing or irreversible actions (sending emails, updating databases, publishing content) until you have full confidence.
• Regularly review the audit logs to spot patterns, catch anomalies, and demonstrate compliance with internal policies.
• Treat agents as team members with specific roles, not as a Swiss Army knife; clear role boundaries improve reliability and make oversight easier.

• Teams that prize control and auditability and need to automate without opening a black box.
• Regulated or risk-aware organizations where every agent action must be traceable and reversible through human approval.
• Operations and product managers who want to orchestrate automations visually, without needing to code.
• Business users who are comfortable with SaaS tools but not deep AI engineering – Air’s interface is built for them.
• Organizations mapping complex, multi-step knowledge work that benefits from parallel execution and role separation.
• Internal innovation groups piloting agent adoption, where safe experimentation and clear dashboards are essential.