
ASUS Pressroom · Technology · Media hub
AI integration case
Press release publishing copilot
On draft save: SEO fields, tags from the existing taxonomy, album path, image alt text, a Traditional Chinese draft
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SERVICE · AI COPILOT
Give the team sourced answers and useful actions inside the tools they already use. Start with one role, its knowledge sources and its permissions.
Brands the team has shipped for over 15 years
Digital products and AI integration casesAn enterprise AI Copilot is an assistant connected to approved company knowledge and tools. It helps people find information or perform defined actions. A useful implementation specifies permissions, source evidence, evaluation and operating responsibility around a real workflow.
An assistant is useful when it can find the right information, respect access rules and fit into daily work. We work with the team to choose one scenario and define what a good answer or action looks like.
We connect approved sources and tools, test retrieval and permissions, and evaluate the assistant with real questions. Deployment, model-provider data handling and operating responsibility are agreed before launch.
01
01 · SCOPE
Agree on the users, sources, permissions, outcome and acceptance criteria.
02
02 · BUILD
Build retrieval and approved tool calls, then test citations, access controls and failure handling.
03
03 · PILOT
A defined user group tests the assistant against real questions and an agreed evaluation set.
04
04 · OPERATE
Confirm monitoring, support and escalation before expanding to more users or sources.
Retrieval, citations and evaluation help expose errors; they do not eliminate them. We test against real questions and define when the assistant must say it lacks evidence or request human review.
We review the deployment, model-provider terms, retention settings and training policy with your security team. These choices are documented before data is connected.
Retrieval and tool calls must enforce the agreed user permissions. We test both allowed and denied access, including cross-department and sensitive-data cases.
Agree on a first scope and baseline, then review answer quality, usage, time spent and failure patterns. Expand when the assistant meets its acceptance criteria.
SCOPE · CHOOSING THE APPROACH
Products differ by configuration. Use these questions to compare a standalone assistant with a workflow-specific implementation.
Standalone assistant
Workflow-specific implementation
Knowledge
Check which sources the product can access
Connect agreed sources and keep their versions current
Permissions
Check the product’s access and connector controls
Test retrieval and tool access against your permission model
Evaluation
Check available evaluation and monitoring tools
Set a workflow baseline and inspect failures with the team
Operations
Check the provider and internal support responsibilities
Agree on integration, monitoring and incident ownership
KNOWLEDGE BASE · FURTHER READING
Selected guides and external perspectives for planning this workflow.
Tenten AI whitepapers & perspectives
TENTEN × DIFY
From Tenten’s October 2026 consulting deck: five client platforms, their AI integration workflows, data sources and human review.

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On draft save: SEO fields, tags from the existing taxonomy, album path, image alt text, a Traditional Chinese draft
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