Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.
Work task
“Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.” is a core task performed by Computer Systems Engineers/Architects. Among the occupation's 28 rated tasks, workers place it 14th by importance (#15 most important). About 100% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.
How AI is actually used on this kind of task
The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.
- 0.009% share of AI-use records mapped to this task
- 90% of that use is work-related
- Most common interaction: task iteration
- Average autonomy of the AI: 3.4 (1–5; higher = more autonomous)
- 94% of interactions still needed a human in the loop
Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.
Working with AI vs. handing it off
Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.
How people interact with AI on this task
| Interaction pattern | Share | % | What it means |
|---|---|---|---|
| task iteration | 39% | you and AI go back and forth on the work | |
| directive | 32% | you give the instruction; AI produces a finished result |
Other tasks in this occupation
- Communicate with staff or clients to understand specific system requirements. · importance 4.2
- Investigate system component suitability for specified purposes, and make recommendations regarding component use. · importance 4.2
- Provide customers or installation teams guidelines for implementing secure systems. · importance 4.2
- Direct the analysis, development, and operation of complete computer systems. · importance 4.2
- Monitor system operation to detect potential problems. · importance 4.1
- Direct the installation of operating systems, network or application software, or computer or network hardware. · importance 4.1
- Verify stability, interoperability, portability, security, or scalability of system architecture. · importance 4.0
- Identify system data, hardware, or software components required to meet user needs. · importance 4.0
- Perform ongoing hardware and software maintenance operations, including installing or upgrading hardware or software. · importance 4.0
- Research, test, or verify proper functioning of software patches and fixes. · importance 3.9
- Configure servers to meet functional specifications. · importance 3.9
- Collaborate with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components. · importance 3.8
- Document design specifications, installation instructions, and other system-related information. · importance 3.7
- Design and conduct hardware or software tests. · importance 3.7
See all tasks on the Computer Systems Engineers/Architects page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-14685
Singulariki. (2026). Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-14685
@misc{singulariki-task-14685,
title = {Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-14685}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.