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The situation
Every sortie produces log. The collection rate is set by the platform and the mission; the review rate is set by how many trained analysts you have and how long a shift is. Those two numbers do not converge.
The backlog is not a storage problem. It is that findings which should have reached a decision-maker are sitting in material nobody has had time to open.
Why it is hard
Relevance depends on context the log does not carry
What matters in one tasking is noise in another. Any fixed filter is wrong for most sorties.
A finding without its frame is not actionable
An analyst cannot act on an assertion. They need the specific segment that produced it, or the finding is just another claim to verify from scratch.
The chain of custody matters as much as the finding
In this context, a finding that cannot be traced to its source and timestamped is not usable downstream, however accurate it is.
How we approach it
Agentix indexes the log and ties every candidate finding to the exact segment it came from, so a human reviewing it starts from evidence rather than from an assertion. Prioritisation is driven by the tasking rather than by a fixed rule.
The decision stays with a person. What changes is that the person is looking at a short, evidenced, prioritised set rather than at the whole collection.
What changes
- Candidate findings tied to the frame or segment that produced them
- Prioritisation driven by tasking rather than a fixed filter
- An immutable, exportable trail for every finding surfaced
- Runs air gapped on the platform, reconciling when the link returns
Next
Is this your problem too?
Bring the version of it you actually have. We will tell you what it would take, including when the answer is that it is not worth doing.