SIE for Reliability software teams
Incident reports contain the truth. They also contain details customers should never see.
SIE gives teams building reliability software one API to turn an internal incident review into a public update while preserving the outage window and withholding internal identifiers.
Self-host SIE in your infrastructure, or ask about managed deployment through SIE Cloud.
Scorecard, timeline, hostnames, ticket IDs and responder notes
Four labelled lines. No hostnames, ticket numbers or responder names.
The operational problem
The model call is only one part of the job.
Internal incident reviews are detailed on purpose. Customer updates need a different level of detail, a fixed format and enough evidence to stay accurate under pressure.
01
The source is written for responders
Hostnames, ticket IDs and staff handles belong in the internal record.
02
Timing must survive the rewrite
A draft can sound clear and still state the wrong start or recovery window.
03
Public updates follow a format
Teams need consistent fields and length limits across incidents.
04
Publishing still needs control
The draft should fail closed when a check misses, then wait for approval.
How SIE helps
Draft the update, check it, then hand it back
SIE handles writing, entity extraction, redaction, search and reranking through one API. Your incident workflow controls approval and publication.
Customer impact, outage window, current status and resolution, ready for approval.
Where it fits
Use SIE inside the product your team is already building.
Status updates
Create a public draft from the internal incident record.
Identifier checks
Find hosts, tickets and responder names before publishing.
Postmortem search
Retrieve similar incidents and previous customer wording.
Communication QA
Run format, timing and policy checks on every draft.
Representative task benchmark · Redact (PII)
Price, quality and speed for identifier redaction
One measured model job from this workflow. These figures come from SIE task evaluations, not from the industry example on this page.
660 synthetic financial documents, 1,792 pieces of personal data. A piece counts when every letter and digit is hidden; punctuation may stay readable.
Recorded example
Every update kept the stated window and named nobody
The recorded run uses twelve real Wikimedia incident reports and checks every generated update before it can move forward.
The source includes timelines, internal machines, task numbers and responder handles.
The model writes within the fixed status-page format and length limit.
All twelve drafts passed all four checks in the recorded run.
Deployment
Run SIE where your data can go.
The workflow uses the same SIE API whether you choose managed infrastructure or run it under your control.
Use SIE Cloud
Let the SIE team operate model serving, scaling and updates. Talk to us about availability and the right setup for your workload.
Get startedRun SIE in your infrastructure
Keep models and data inside your environment. Your team controls hardware, networking, access and deployment policy.
View the deployment guide