AI inside your product
Search, summarization, assistants, and agent workflows designed around a specific user need.
AI & workflow
automation.
Less repetitive work.
More useful intelligence.
Connect knowledge, tools, and people with AI features and workflows that keep you in control.
Auwave / 03 — Built around your business
From a question to a reviewed action.
workflow.tsPreview
// An illustrative workflow
1
const task = await receive(input)2
const context = search(knowledge)3
const draft = agent.prepare(task)4
await human.review(draft) Ready to review
Find the next step for this request.
Find relevant context
Prepare a response
Request human approval
Draft ready
A suggested response, with the source attached.
Knowledge base · 2 sources
Review before sending ↗
Illustrative AI workflowNo live data
What you get
Automation with a purpose.
Start with a repeatable task and a way to judge whether the result is useful. Then choose the right tools.
Connected operations
Move information between existing tools and reduce repetitive handoffs.
Evaluation & control
Define test cases, permissions, human review, and failure handling before expanding use.
How we get there
Clear decisions.
Visible progress.
Choose one workflow
Map the task, the data it needs, and the people who remain responsible.
Test a small version
Compare the results against representative examples and clear success criteria.
Integrate responsibly
Add access controls, monitoring, review points, and a route back to manual work.
Before we start
A little more clarity.
Does every automation need AI?
No. For predictable tasks, a straightforward integration or rules-based workflow may be more reliable and cost-effective.
Will an agent act without approval?
That depends on the agreed scope and risk. Sensitive or consequential actions should have explicit review and approval steps.
What happens to our data?
Data sources, access rules, hosting, retention, and model providers are agreed during scoping. We do not assume that all company data can be sent to a model.