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Automate support ticket decisions with model-driven evidence

Paid plans onlyVisit Website
Tracked since 2026

The Bottom Line

Price
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Key facts

  • Automatically classify support tickets using AI evidence and your defined thresholds.
  • Integrates via REST API, webhooks, or MCP for seamless workflow embedding.
  • Reduces human touch: a high percentage of tickets never reach a person, and decisions are significantly faster.

Pros

  • High automation rate (a high percentage of tickets not needing a person)
  • Significantly faster decision times compared to manual sorting
  • Provides evidence for each decision, increasing trust and auditability

Cons

  • Requires initial effort to set and tune threshold values
  • May not handle extremely nuanced or context-heavy tickets without model limitations

What is judged.systems?

judged.systems is a decision system for classifying support tickets. It works by taking a ticket via REST API, webhook, or MCP (Model Context Protocol) and passing it through a model that returns evidence, either a choice, a score, or a probability. You define thresholds that turn that evidence into a decision: accept (clear enough to pass), review (uncertain or failed call), or reject (clear enough to decline). Tickets that fall into a floor, range, or middle band are held for human review. The system aims to speed up the sorting process by automatically handling clear cases while surfacing ambiguous ones for human judgment. It provides transparency by showing the evidence behind each decision, allowing teams to quickly act on support tickets without manual triage of every incoming request.

Key Features

  • Ticket classification via model-generated evidence (choice, score, or probability)
  • Custom threshold configuration for accept, review, and reject decisions
  • Queuing system for tickets that fall within a floor, range, or middle band
  • Multiple integration methods: REST, webhook, and MCP
  • Evidence transparency: model output is returned for every ticket
  • Failed or uncertain calls are automatically routed to human review

Pricing

Paid

judged.systems offers paid plans. Visit their website for current pricing details.

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judged.systems FAQ

How does judged.systems help customer support teams handle incoming tickets?

judged.systems automates ticket classification by passing each ticket through a model that returns evidence, such as a choice, score, or probability. You define thresholds that turn that evidence into a decision: accept, review, or reject. This speeds up sorting by handling clear cases automatically and surfacing ambiguous ones for human review.

How does judged.systems compare to Klaus?

judged.systems differs from Klaus by using model-driven evidence to automatically classify support tickets, rather than relying on manual review. It provides a decision with transparency, showing the evidence behind each accept, review, or reject outcome.

What kind of tickets might judged.systems struggle to handle?

Tickets that are extremely nuanced or context-heavy may not be handled well due to model limitations. The system also requires initial effort to set and tune threshold values for optimal performance.

Which teams benefit most from using judged.systems?

Teams that handle high volumes of support tickets and want to reduce manual triage time benefit most. It fits teams that value transparency and auditability, as each decision comes with evidence.

How is judged.systems priced?

judged.systems is a paid product and does not include a permanently free tier. Pricing details are available separately.

Can judged.systems integrate with existing support workflows?

Yes, it accepts tickets via REST API, webhook, or MCP (Model Context Protocol), allowing integration into existing systems. It then returns decisions with evidence for each ticket.

Does judged.systems provide transparency into its decisions?

Yes, it shows the evidence behind each decision, such as a choice, score, or probability. This increases trust and allows teams to audit why a ticket was accepted, rejected, or sent for review.

How does judged.systems decide which tickets need human review?

It uses thresholds you define: tickets that fall into a floor, range, or middle band are held for human review. Clear cases are accepted or rejected automatically, while uncertain ones are surfaced for manual judgment.

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