Reliability continuity
Keep release evidence current after launch.
Run a practical monthly rhythm for regressions, incidents, monitoring, and the ownership behind the next AI release decision.
From $1,500/mo · Monthly release assurance · Scope agreed before access
- $1.5k/mo
- Starting shape
- Monthly
- Cadence
- 1
- Named owner
Continuity record
Release health
- 01Regression set compared
- 02New failure pattern classified
- 03Owner and next decision recorded
Who this is for
For teams shipping meaningful AI changes every month.
Bring a named product owner, access to release evidence and monitoring, and a cadence the team can keep.
You bring
A named product owner, access to release evidence and monitoring, and an agreed monthly review cadence.
The working shape
Small boundary. Visible evidence.
01
Set the baseline
Keep a representative regression set and define the highest-consequence behaviours.
02
Review the change
Compare new model, prompt, retrieval, tool, and product changes against the baseline.
03
Own the decision
Record incidents, residual risk, and the person responsible for the next release call.
What you receive
A record your team can use.
A recurring evidence rhythm that makes changes, incidents, and residual risk visible.
Release review cadence
representative regression checks
incident learning log
monitoring review
and decision notes for owners.
Not included
- 24/7 managed operations or an SLA
- Unlimited engineering, feature delivery, or incident response
- A guarantee that future model or vendor changes cannot fail
Questions
Before you start.
What happens in a monthly continuity review?+
We review representative regression evidence, recent incidents, monitoring signals, meaningful workflow changes, and the decisions or owners that remain open.
What does AI reliability monitoring and release assurance include?+
Reliability Continuity maintains a practical rhythm around regressions, incidents, monitoring, release evidence, and named ownership for the next AI release decision.
Can you maintain an AI evaluation suite after launch?+
Yes. The cadence can keep a representative regression set current and use it to compare meaningful changes before release. The exact evidence depth is agreed for the workflow.
Do you review prompt, model, retrieval, and tool changes?+
Yes. Continuity can compare those changes against the agreed baseline, review their evidence, and record the remaining risks or owners before the next release decision.
How do you handle AI incidents and production regressions?+
We use the continuity review to record the incident, inspect the relevant evidence, identify the open decision or owner, and feed the learning into the next regression or release check.
Can you help with LLM observability and tracing?+
Yes. We can review the monitoring and tracing signals needed to understand the agreed workflow and use them as part of release evidence. This is not a 24/7 monitoring service.
Do you provide 24/7 AI agent monitoring or an incident-response SLA?+
No. Reliability Continuity is evidence and decision support. It does not include 24/7 managed operations, unlimited engineering, or an incident-response SLA.
Can you support a team after an AI Reliability Sprint?+
Yes. Continuity is the option for teams that need a recurring evidence rhythm after the sprint, especially when prompts, models, retrieval, tools, or product behavior keep changing.
What happens when a release fails the evidence check?+
The review makes the unresolved risk, missing evidence, and next owner visible. The team can then hold the change, narrow the scope, or separately scope the engineering needed to address it.
How often do we meet for Reliability Continuity?+
The default rhythm is monthly. Cadence, evidence depth, and the number of workflows are agreed before work begins.
Can you review production AI regressions?+
Yes. The continuity rhythm can review meaningful regressions against the agreed baseline, using the available release, monitoring, and incident evidence.
Will you make code changes every month?+
Continuity focuses on evidence and release decisions. New engineering work is scoped separately when the review identifies a specific improvement or repair.
How much does Reliability Continuity cost?+
Plans start from $1,500 per month. Cadence, evidence depth, and the number of workflows are agreed before work begins.
Does Reliability Continuity include unlimited engineering work?+
No. Continuity focuses on evidence and release decisions. A specific repair, improvement, or new feature can be scoped separately when the review shows it is needed.
Who is Reliability Continuity for?+
It is for teams shipping meaningful AI changes who need a named owner, current release evidence, and a sustainable way to see regressions and open risks after launch.
The next useful move
Need an independent review first?
A plain-English GO, CONDITIONAL GO, or NO-GO decision with evidence-ranked findings and a smallest-next-step rescue plan.