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Panorama

Panorama automates repetitive “boring tasks” using workplace data, freeing your team to focus on creative work and evolving processes.

Panorama

What is Panorama?

Panorama is a workplace automation product that finds and automates “boring tasks” for a team. The site describes Panorama as using a deep understanding of team workplace data to handle repetitive work, freeing people for creative work.

The core purpose is to keep what teams have learned working reliably over time—so users have capacity to create and evolve without having to manually repeat the same operational steps.

Key Features

  • Automates repetitive, low-value tasks for a team, reducing manual overhead when processes repeat.
  • Uses an understanding of workplace data to determine what work to automate, aligning automation with how teams actually operate.
  • Designed to “keep running” what was learned previously, supporting continuity rather than one-off automation.
  • Focus on allocating time back to creative work, positioning the product as a capacity tool rather than a replacement for people.

How to Use Panorama

  1. Get the team set up so Panorama can access the workplace context it needs (the site references workplace data as the basis for its automation decisions).
  2. Identify or allow Panorama to surface the “boring tasks” it can handle automatically.
  3. Run the automated workflows as part of day-to-day operations, using the system’s continuity to keep prior learning and automation active.
  4. Continue iterating so the team can “create and evolve” while routine work stays handled.

Use Cases

  • Reduce repetitive admin work: A team can use Panorama to automate recurring operational tasks that repeatedly consume time.
  • Operational consistency over time: When a workflow needs to stay stable, Panorama’s “takes what you learned yesterday and keeps it running” approach can help maintain continuity.
  • Free time for creative projects: Teams that balance execution with creative work can offload “boring tasks” so people can focus on designing, writing, or ideating.
  • Workplace-data-driven automation: Organizations where processes are embedded in day-to-day workplace data can use Panorama to target automation based on how work is actually performed.
  • Ongoing evolution of processes: After initial automation is running, teams can continue refining what gets automated so operations support growth rather than becoming static.

FAQ

  • What kinds of tasks does Panorama automate? The site describes Panorama as automating “boring tasks” and repetitive work, based on understanding workplace data.

  • How does Panorama decide what to automate? It uses a deep understanding of the team’s workplace data to identify and automate tasks.

  • Is Panorama meant for individuals or teams? The messaging refers to “your team’s” tasks, indicating it is positioned for team workflows.

  • Does Panorama require re-learning each time? The site states Panorama “takes what you learned yesterday and keeps it running,” implying continuity rather than starting over.

  • What is the goal of using Panorama? To free up time for creative work by automating repetitive tasks.

Alternatives

  • Workflow automation platforms: General-purpose automation tools that connect systems and trigger actions can replace some “boring task” automation, but may require more manual configuration than a product positioned around workplace-data understanding.
  • Robotic process automation (RPA): RPA tools automate steps in existing user interfaces and can help with repetitive operations; compared to Panorama, they often focus on executing scripts rather than learning from workplace context.
  • Ops/IT automation and orchestration tools: Tools that streamline operational procedures can reduce manual work; the difference is that they may not be specifically framed around freeing creative time based on workplace-data learning.
  • Business process management (BPM) systems: BPM tools help model and manage processes; they may be used when teams need explicit process definitions rather than automation that evolves from existing workplace data.