How it works
The pattern is consistent across every agent: observe the data already in the platform, analyze it, recommend something, and leave the decision with a person.
- Human-in-the-loop
- Data privacy
- AI overview
AI
Most AI in HR tools is a chat box bolted onto the side. Spark.work AI works on the data already in the platform - your employees, policies, surveys, objectives and measures - which is what makes its output specific enough to use.
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The pattern is consistent across every agent: observe the data already in the platform, analyze it, recommend something, and leave the decision with a person.
The everyday load: answering policy questions, handling core HR requests, drafting communication.
This is the part HR-only AI tools cannot do, because they do not hold the strategy data in the first place.
The value comes from the underlying data, so it is worth being clear about what that is.
Being specific about the limits is more useful than claiming autonomy. Spark.work AI assists - it does not act unsupervised on your organization's behalf.
AI
Each agent works on the data already in your Spark.work platform.
FAQ
It assists rather than decides: drafting text, summarizing responses, and surfacing context from the data already in the platform. Every agent is human-in-the-loop, so a person reviews and approves the output.
No. Spark.work AI does not make hiring or performance decisions and does not take irreversible action without human approval.
The data already held in your Spark.work platform - employee records, policies, survey responses, objectives and measures. See the data privacy page for how that is handled.
No. Because Spark.work holds both people and strategy data, there are agents for KPIs, OKRs and strategy as well as for core HR and recruitment.