Research assistant
Collect information from approved sources, keep the source links, and prepare a brief you can review.
An AI assistant built around your business instructions, approved information, and defined permissions. Not a bot with a vague job description.
Describe the trigger, the information used, the steps, and the output. Then decide what can happen automatically and where a person must review the result.
Read the workflow guide
Collect information from approved sources, keep the source links, and prepare a brief you can review.
Work from your voice, offers, and reference material to prepare drafts—not publish unchecked content.
Help your team find answers in approved business documents, with clear access boundaries.
These are project examples, not claims about completed client work. Your requirements determine the final scope.
The scope covers what the agent can see, what it can do, what it must not do, and when it needs a person. Model and hosting costs, monitoring, and future changes are discussed before the build.
Talk about your projectAn agent can be configured with a specific task, instructions, approved knowledge, and selected tools. What it can actually do depends on the agreed build and permissions—not on the label.
That can be scoped, but it needs approved information, appropriate privacy controls, and a clear path to a person. A draft-response assistant may be a better first step than unattended replies.
No. AI can make mistakes. We define source checks, test cases, review points, and ways to handle uncertainty rather than promising perfect answers.
A purpose-built agent can prepare a response from approved information. The example below stops for a person before anything is used.
Local demonstration only. No model is called, no message is sent, and no customer record is created.
You don't need a specification. These five details make it easier to discuss scope, costs, and next steps.
0 of 5 details ready
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