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AirOps : AI agents for data workflows and operations automation

AirOps : AI agents for data workflows and operations automation

AirOps : AI agents for data workflows and operations automation

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AirOps: in summary

AirOps is a platform that enables businesses to build and deploy AI agents for data operations, allowing teams to automate complex workflows across analytics, reporting, and internal tools. Designed for data teams, operations managers, and technical business users, AirOps combines natural language interfaces, SQL generation, task automation, and custom app building to streamline decision-making and execution.

Unlike traditional business intelligence tools, AirOps provides AI-powered agents that can interact with databases, run queries, transform data, generate summaries, and take actions based on results. Its goal is to reduce the manual overhead of analytics and operations by putting LLM-powered assistants in the hands of non-technical teams—while still offering full control and customization for experts.

What are the main features of AirOps?

AI agents for data-driven workflows

AirOps allows users to create agents that automate multi-step data processes:

  • Connect to data warehouses (e.g., Snowflake, BigQuery, PostgreSQL).

  • Run and chain SQL queries, apply logic, and transform outputs.

  • Schedule and trigger workflows based on conditions or user prompts.

Natural language to SQL translation

Non-technical users can ask data questions in plain English:

  • Agents translate requests into optimized SQL queries.

  • Results are returned in human-readable format (tables, summaries, charts).

  • Reduces reliance on data teams for everyday insights.

Custom internal tools and apps

AirOps lets teams build lightweight applications powered by AI:

  • Combine UI components, LLM capabilities, and logic blocks.

  • Create tools like report generators, content validators, or CRM assistants.

  • Deploy internally with fine-grained access and data control.

Workflow automation with human-in-the-loop

Agents can execute actions or request human approval when needed:

  • Automate recurring tasks like report generation or data cleanup.

  • Include review steps to ensure accountability before changes are made.

  • Balance speed and control across operational processes.

Integration and extensibility

AirOps integrates with existing systems and APIs:

  • Webhooks, REST APIs, and native connectors allow flexible data flows.

  • Supports embedding agents into apps, dashboards, or Slack.

  • Developers can customize logic and extend agent behavior via code.

Why choose AirOps?

  • Built for data workflows: Ideal for analytics and operations-heavy teams.

  • Empowers non-technical users: Natural language interface for data tasks.

  • Highly customizable: From SQL to UI logic, full control over behavior.

  • Accelerates automation: Reduces manual processes in reporting and operations.

  • Enterprise-ready: Access controls, audit trails, and integrations with existing systems.

AirOps: its rates

Standard

Rate

On demand

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