Tasks that once required weeks of coordination across documents, messages, and spreadsheets could increasingly be completed within hours with the help of AI agents. OpenAI says these systems can assist office teams in producing reports, organizing data, building presentations, and preparing prototypes that can be tested quickly.
The shift reaches beyond software developers. Workers in communications, research, data analysis, and product management are also beginning to use AI for repeatable and structured work that often consumes significant administrative time.
One of the most notable uses involves turning scattered workplace information into something a team can act on. A product manager on the Codex team used AI to gather material from Slack, documents, Linear, and email, then turn that information into a product prototype or website for testing.
That approach gives teams a tangible version of an idea instead of relying only on static documents. A prototype can be reviewed, discussed, and refined collectively before more time is committed to development.
From Repetitive Tasks to Structured Workflows
Gabriel Chua, a DX Engineer at OpenAI, said many internal processes follow patterns that can be mapped clearly. Once users define the objective, context, and boundaries of a task, AI can help create drafts, automate selected steps, and improve the output over time.
“Report creation, spreadsheets, presentations, contract reviews, dashboard updates, and other internal processes generally follow recurring workflows,” Chua told inet.detik.com. He said AI agents such as Codex and ChatGPT Work can help make those processes easier to review, reuse, and refine.
| Work Area | How AI Can Be Used |
|---|---|
| Communications teams | Create content calendars, reusable templates, and social media monitoring workflows. |
| Data analysts and researchers | Clean datasets, identify patterns, and turn analysis into reports. |
| Product managers | Prepare daily agendas and manage administrative tasks. |
For communications teams, AI can help organize editorial calendars and prepare templates that support recurring work. Simple workflows can also be created to monitor social media posts, reducing the manual effort involved in routine tracking.
Data analysts and researchers can use AI to clean datasets before examining emerging patterns. Those findings can then be shaped into reports that are ready for the next stage of a team’s workflow.
AI Use Expands Beyond Coding
OpenAI said Codex and ChatGPT Work have more than 7 million weekly active users worldwide. More than 1 million of those users employ Codex for work outside software development, indicating that the tools are increasingly being used for administrative and analytical tasks.
Examples include data cleaning, recurring report preparation, understanding an existing codebase, and testing internal tools. The figures suggest that AI is becoming a work companion across a broader range of knowledge-based roles rather than remaining limited to coding support.
Virgin Atlantic is among the companies highlighted by OpenAI for this broader use case. Its digital product team uses ChatGPT Work with Codex technology to compare customer experiences with competing airlines and organize data for a five-year business strategy.
The potential benefit is not simply faster document production. According to Chua, time saved from work that previously took weeks can be redirected toward analysis and decision-making, where human judgment remains central.
Human Review Remains Essential
OpenAI has stressed that AI is not intended to replace professional expertise. “Codex does not replace human expertise,” Chua said, emphasizing that users remain responsible for defining goals, supplying context, and reviewing the results carefully.
The usefulness of AI agents therefore depends on how clearly a team describes its work and checks the output. As these tools take on more structured office tasks, the human role shifts toward setting direction, applying judgment, and making final decisions.
