{"id":175598,"date":"2025-09-08T17:50:48","date_gmt":"2025-09-08T08:50:48","guid":{"rendered":"https:\/\/support.questetra.com\/?p=175598"},"modified":"2026-06-18T18:00:05","modified_gmt":"2026-06-18T09:00:05","slug":"ai-service-comparison","status":"publish","type":"post","link":"https:\/\/support.questetra.com\/en\/developer-blog\/ai-service-comparison\/","title":{"rendered":"Comparison and Utilization Guide for Generative AI Automation Items"},"content":{"rendered":"\n
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To further advance the automation of workflows, Questetra BPM Suite has built-in Auto-steps that integrate with AI generation services as standard features. By using these, you can improve the efficiency of information processing in your business, such as automatic text generation, summarization, review, classification, and even image generation.<\/p>\n\n\n\n

This article explains the features, configuration overview, and usage examples of each AI Auto-step available in Questetra. It also summarizes the differences and suggests how to use them. In particular, it focuses on the differences between Questetra’s own [AI Agent] step and the Auto-steps linked to external services (OpenAI \/ Google Vertex AI \/ Amazon Bedrock), providing information that will be useful in actual operation scenarios.<\/p>\n\n\n\n

\u203b2025-08 This is a comparison at the time of writing, and features and configuration overviews may change due to updates to each generation AI base model or built-in item.<\/p>\n\n\n\n

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1. List of Available Services and Their Features<\/strong><\/h2>\n\n\n\n

The table below summarizes the features of the AI \u200b\u200bAutomated Steps built into Questetra BPM Suite by service. The Questetra [AI Agent] step can be used in all editions of Questetra BPM Suite, including the trial mode. To use other automated Steps, you need Advanced edition or higher. In addition, you need a subscription to the target service.<\/p>\n\n\n\n

Service Name<\/strong><\/td>Separate Service Contract<\/strong><\/td>Features of Collaboration with Questetra<\/strong><\/td>Difficulty of Implementation<\/strong><\/td>Foundation Model<\/strong><\/td><\/tr>
Questetra [AI Agent]<\/strong><\/td>Not required<\/td>Flexible control is possible, such as processing multiple data items<\/td>Low: No special settings required<\/td>Anthropic Claude<\/td><\/tr>
OpenAI <\/strong><\/td>Required<\/td>Highly accurate natural language response and image generation<\/td>Middle: Creating an API key<\/td>ChatGPT \/ DALL-E<\/td><\/tr>
Google Vertex AI<\/strong><\/td>Required<\/td>Audio, video and PDF input available<\/td>High: Creating a project, registering a service account, etc.<\/td>Gemini<\/td><\/tr>
Amazon Bedrock<\/strong><\/td>Required<\/td>Claude model for high-level reading comprehension and image generation<\/td>High: AWS environment configuration, IAM user creation, etc.<\/td>Anthropic Claude \/ Stability AI Stable Diffusion<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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2. [AI Agent] Step Overview<\/strong><\/h2>\n\n\n\n

2-1. Features<\/strong><\/h3>\n\n\n\n

[AI Agent] is one of the automated processing steps built into Questetra BPM Suite. It reads information from specified Data Items and uses the power of generative AI to make edits and suggestions.<\/p>\n\n\n\n

Unlike other AI automated items described below, this item allows you to specify which Data Items to read in natural languages such as Japanese and which Data Items to output the processing results to. It is also possible at a single step to perform input\/output on multiple Data Items, or instruct consecutive processing based on the processing results, such as summarizing sentences and then translating the summaries.<\/p>\n\n\n\n

You can also flexibly add instructions to the prompts, such as sentence length, target audience, and keywords, to fine-tune the output results.<\/p>\n\n\n\n

2-2. Configuration Overview<\/strong><\/h3>\n\n\n\n

The following settings are available in [AI Agent]:<\/p>\n\n\n\n