Faster triage, stronger engineers: how Fixed saves time and upskills your team
Where the minutes come from in real ops workflows, and why structured investigations help junior engineers learn patterns seniors already know.
- AI
- operations
- SRE
Insights
AI, ML, and ops investigations
Product perspective and research notes on evidence fusion, temporal attribution, graph ranking, operational memory, and grounded generation, how AI/ML supports investigations without replacing on-call judgment.
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From vague ticket to evidence trail: AI for helpdesk and service desk
How to turn 'it's slow' and 'can't log in' into structured checks, ranked hypotheses, and tier-ready notes without another generic chat reply.
- AI
- helpdesk
- IT operations
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Grounded generation: drafting RCAs without inventing evidence
How retrieval-augmented generation and citation constraints reduce hallucination in ops summaries, and where models still fail.
- AI
- research
- LLM
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Operational memory: retrieving past incidents to rank today's hypotheses
How embedding-based retrieval over resolved incidents acts as a prior, and why it must never override fresh telemetry.
- ML
- research
- embeddings
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Graph blast radius and hypothesis ranking on service topology
Why dependency graphs beat flat alert lists for ML, and how reachability and fan-out shape which theories rank first.
- ML
- research
- topology
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Temporal correlation and change attribution in ops ML
How time-aligned deploys, config pushes, and symptom onsets are scored, and why causation still belongs to the on-call engineer.
- ML
- research
- SRE
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Multimodal evidence fusion: why incident triage is not a single-model problem
How alerts, metrics, logs, tickets, and deploy signals are combined into one ranked view, and why no single ML model owns the full pipeline.
- ML
- research
- incident response
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Investigate mode vs repair mode: two speeds of AI in operations
How to separate RCA and triage from automated remediation, and why that boundary builds trust with SRE, IT ops, and security.
- ML
- SRE
- IT operations
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Human-in-the-loop isn't a disclaimer: it's the architecture
Why approval gates, investigate-only modes, and explicit risk labels matter when AI touches production systems.
- AI
- operations
- governance
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Ranked hypotheses beat prompt-and-pray for incident response
Why ops teams need scored, evidence-linked theories, not another chat thread, when production is on fire.
- AI
- SRE
- incident response