
Autonomous agents increasingly handle tasks with lasting effects, creating challenges around safety and oversight. Kelhe addresses this by analyzing each proposed operation against factors like impact, reversibility, and context to generate a clear verdict. The process involves a single request from the agent that includes details about the action and its parameters. In response, the engine supplies a numeric score, a recommended decision, and supporting signals that can be logged for review. This approach supports flexible integration across different frameworks while ensuring high-stakes steps receive appropriate scrutiny without slowing routine operations.
Kelhe scores refund and payment actions by AI agents, returning hold decisions for amounts exceeding thresholds to route high-value transactions to human reviewers.
Evaluates irreversible actions like data deletions or updates, providing risk scores and reasons to prevent unintended changes without oversight.
Assesses outbound messaging or support actions, enabling proceed, hold, or deny outcomes based on sensitivity and context signals.
Pricing model: Paid. Plan details are indicative — check the site for current prices.
Our take: Kelhe is a solid productivity choice. It's valued for simple integration via single http request and provides auditable risk signals and reasons. The main trade-off is early-stage product. Best when you need reliable, professional output.
Kelhe is a risk scoring engine that evaluates proposed actions by autonomous AI agents before execution and returns a score with proceed, hold, or deny decisions.
Kelhe is a solid productivity choice. It's valued for simple integration via single http request and provides auditable risk signals and reasons. The main trade-off is early-stage product. Best when you need reliable, professional output.
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