Internal decision packet · NorthStar Digital

AI Incident Workshop and Runbook

A fixed-scope remote tabletop for one named AI or automation workflow. Your team rehearses detection, escalation, containment, recovery, evidence, and communication; NorthStar returns the decision record and a customized operator runbook.

$5,000 USDPaid in full after scope and date confirmation

Up to 4 hoursOne facilitated remote tabletop

Up to 8 peopleNamed operational participants

2 business daysRunbook delivery after workshop

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The buying decision

Use this when a valuable AI workflow exists but the people responsible for it have not practiced a realistic failure together. The engagement buys a facilitated decision exercise and an operator-ready artifact—not certification, remediation, or an uptime promise.

Best internal owner

A CTO, VP Engineering, Head of AI, product leader, security leader, or operations owner who can name the workflow and invite the people authorized to stop and recover it.

What is delivered

One 60-minute preparation call
Review of up to 10 supplied operational artifacts
One agreed scenario with up to 3 incident injects
Facilitated decision and evidence log
Observed gaps and risk-ranked actions
Customized response runbook within 2 business days
One 30-minute runbook handoff

Illustrative four-hour agenda

0:00–0:20Objectives, scenario boundary, participant roles, decision authority, and evidence rules.

0:20–1:05Baseline operation and first signal: what is known, who declares an incident, and what must be preserved.

1:05–1:50Escalation and containment: pause authority, customer or financial exposure, manual fallback, and provider coordination.

1:50–2:00Short break and facilitator evidence check.

2:00–2:45Recovery and dependencies: rollback choice, external services, validation, and safe return criteria.

2:45–3:25Stakeholder communication, incident timeline, evidence retention, and unresolved uncertainty.

3:25–4:00Decision review, named actions, runbook priorities, acceptance check, and delivery handoff.

Sample scenario anatomy

Illustrative only: after a provider or configuration change, an AI workflow begins taking inconsistent customer-facing actions while its ordinary availability monitor remains green.

Inject 1: a weak signal appears in a support channel.
Inject 2: the workflow's external tool access becomes part of the suspected path.
Inject 3: the provider is degraded while leadership needs an accurate update.

The paid scenario is tailored only from the buyer's named workflow and supplied operating context.

Runbook structure

Scope, owners, backups, and escalation contacts
Detection signals and declaration criteria
Containment controls and approval boundaries
Evidence sources and decision-log procedure
Dependency and provider escalation paths
Recovery, rollback, and validation sequence
Internal and external communication roles
Open actions with owner and priority

Illustrative decision log

Moment	Observed evidence	Decision required	Accountable role	Exit check
T+12	Customer report conflicts with normal availability signal	Declare, investigate, or continue monitoring	Incident owner	Named evidence source confirms scope
T+28	External tool action is inside the suspected path	Pause tool use, switch to manual, or isolate one workflow	Technical owner	Risky action can no longer execute
T+64	Provider degradation complicates recovery	Rollback, fail over, or remain safely paused	Recovery owner	Agreed validation checks pass

This table demonstrates the artifact format; it is not a claim about a prior client incident or a prescription for a live emergency.

Buyer supplies

One named workflow and accountable owner
Preferred date and time zone
Participant names or operational roles
Architecture or workflow outline
Known failure signals and recovery method
Up to 10 relevant, non-secret artifacts

Do not send passwords, API keys, patient data, customer records, or confidential datasets in the first message.

Explicit exclusions

Live production changes or remediation
Feature development or on-call response
Penetration testing or red-team activity
Certification, legal advice, or clinical validation
24/7 coverage or guaranteed outcomes
Travel, third-party costs, or more than 8 participants unless written into scope

Copy for an internal approval request

Approve a fixed $5,000 AI Incident Workshop and Runbook for one named production AI or automation workflow. The remote engagement includes a preparation call, a facilitated tabletop of up to four hours for up to eight participants, a decision and evidence log, risk-ranked actions, and a customized runbook delivered within two business days. It excludes live remediation, penetration testing, certification, legal or clinical advice, 24/7 response, and performance guarantees. Scope, date, accountable owner, access boundary, and acceptance criteria are confirmed in writing before work begins.

Confirm fit before payment.

Send the named workflow, accountable owner, participant roles, preferred date and time zone, current failure signals, and recovery method. NorthStar will confirm fit and scheduling before checkout; if the engagement is not responsible or operable, it will be declined rather than stretched into vague scope.

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No revenue, uptime, restoration, security, compliance, or business-performance result is guaranteed. Scheduling, access, rescheduling, cancellation, and acceptance terms must be confirmed in writing for the named engagement.