Complete HR work faster on 
with AI Autocomplete
Today
- Type the task
- Clarify the missing details
- Describe the onboarding task
- Clarify the employee details
- Review the action plan
- Run the workflow
with AI Autocomplete
- Recognize what is already there
- Ask only what is missing
- Describe the onboarding task
- Confirm the missing equipment
- Run the workflow
Understand first, ask second
AI Autocomplete reads the request as it is typed, resolves the details already present and guides the employee to the one decision still missing.
01
Recognize the request in real time
Role, location and timing light up the moment each phrase is complete.
02
Remove redundant questions
Rippling AI asks about equipment because the sentence already answered everything else.
03
Run with a complete instruction
The final request carries the context HR and IT need to start the onboarding workflow.
The SDK
What is the AI Autocomplete SDK?
AI Autocomplete supercharges your text box. It is an SDK you drop into the search box or prompt box you already have, and it starts guiding people through what they actually meant.
The goal of AI Autocomplete is to hand a more complete phrase to the next step of your stack (your search provider or agent). It is powered by an intent layer: an action engine that pairs the reasoning of an LLM with detection that lands in 150 to 200 ms, so the guidance appears while someone is still typing rather than after they submit.
Drops into the box you have
No migration and no replatform. Your search, your models and your pipeline stay exactly where they are.
Completes the request, not the phrase
Ordinary autocomplete finishes a word. This resolves the attributes the person never said out loud, inside the box, before submit.
150 to 200 ms detection
Fast enough to keep up with typing, so the help arrives in the moment it is useful rather than a beat too late.