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Your choice. Most teams start advisory, see the risk ledger take shape over 30 days, and promote specific policies to blocking once they’ve built trust in the signal.

No. Tomosu sits above them. Your engineers keep their AI assistants. Your SRE team keeps Datadog, New Relic, or Dynatrace. Tomosu is the governance layer that unifies signal across all of them into one risk ledger.

The LLM call is the easy part. What takes 12–18 months: a 25-rule scoring matrix with empirically calibrated critical caps, SHA-256 file hashing to skip unchanged code, token-count batching to avoid context window overflows, error fingerprinting to prevent hundreds of duplicate tickets from one root cause, semantic deduplication via vector embeddings, and per-user spending limits. The weights in the scoring matrix only become credible after you’ve correlated them against real production incidents—data you don’t have until after your first outage.

You should not trust it on day one, and the product does not ask you to. The gate starts advisory: Tomosu publishes verdicts alongside your existing process while you compare them against what your reviewers would have decided. You enforce when the evidence earns it, not because a vendor switched it on.

Three things make that comparison honest. Every verdict carries the reasoning and the evidence behind it, so it can be argued with rather than obeyed. Scores are calibrated to your organization instead of a generic industry baseline. And the projected confidence score is hard-capped at 85, so the system is structurally prevented from overselling its own fixes. Humans keep the override, always.