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Monthly support · Improve reliability

AI Incident Response Retainer

Know who responds when your production AI fails.

Set up ongoing incident response for your AI system, with triage within one business hour under the agreed SLA. Scope access, escalation and repair responsibilities before support begins.

$7,500 /monthUSD · monthly

Published timing: Setup: 3 days · then rolling monthly SLA
Final scope and timing are confirmed before work begins.

Illustrative workflow
  1. Incident raised
  2. Triage + investigate
  3. Scoped response

The shape of the scoped work, not a client result or a finished-product screenshot.

The work today

A starting point you can recognize.

A live AI system and channels that surface problems.

No agreed owner or response arrangement for incidents.

The progress to work toward

Have a defined response when production AI stops working.

An ongoing incident-response retainer with triage under the agreed business-hour SLA.

The engagement is scoped around your inputs and acceptance criteria. The outcome is a goal, not a guarantee.

A concrete engagement

What you receive. What you bring.

Included in the scope

  • An ongoing incident-response retainer with triage under the agreed business-hour SLA.
Read the original advertised scope

Production AI fails in ways no runbook covers: vendor model updates, prompt drift, edge-case cascades. An on-call retainer means I triage within one business hour, root-cause the failure, and ship the fix.

Inputs for the conversation

system access + alert channels

Discuss access requirements first. Do not send passwords or private customer data in a public enquiry.

Agree how to judge it

The written SLA, a named escalation path and a scoped incident-response example.

An example to agree during scoping, not a claim that this evidence has already been produced for your project.

A useful fit

Consider this when…

You run a live system and need continuing incident support.

A different starting point

Choose another path when…

You need a one-time diagnostic report, or expect unspecified round-the-clock coverage.

An existing native feature or a smaller change may be sufficient. The call should establish that before a build is proposed.

Evidence, with its limits

Know what you can inspect.

The process diagram explains the mechanism. It is illustrative, and it does not establish results for your workload.

  • Published scope ↗

    The published offer establishes the advertised scope. It does not establish results for your workload.

Ask to review a relevant example and agree the evidence your engagement will produce before committing.

Before you commit

A clear scope comes first.

Price basis. $7,500 /month USD · monthly support. Scope, timing and fees are confirmed in the proposal.

Operating costs. Model usage, hosting and any agreed ongoing support are separate where applicable.

Payment schedule. Confirm the payment and billing-start terms for this engagement in the proposal.

Support and cancellation. Confirm support coverage, cancellation and rescheduling terms before committing. A refund policy is not specified here.

Read the existing service terms ↗

Your next step

Bring the work to the conversation.

Review your selected engagement, then choose a discovery-call time. Scope, fees and dependencies are agreed before work begins.

Review & discuss this scope

No payment is taken on this page.

A closer look

Which scope fits your work?

Prices describe different engagements. Final scope, timing and fees are confirmed in the proposal.