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Phase 3

IT / infrastructure

PagerDuty · GitHub · Datadog · OpsGenie · ITSM platforms

Runbook governance before AI-assisted incident response.

Automating incident response without governed runbooks is the fastest way to cause a production outage while trying to prevent one. IT teams are under enormous pressure to deploy AI-driven monitoring and automation — but the governance requirements are the highest of any domain. A misconfigured agent in a production environment has immediate, measurable consequences.

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Stage 1 — Scout Agent

What the Scout Agent looks for in a IT / infrastructure environment.

Structural red flags detected

  • Runbooks with undefined decision paths — instructions that say 'use judgment' or 'escalate if needed' without defining what either means
  • On-call schedules that assign incidents to a person's name rather than a role — breaks at 2am when that person is unreachable
  • Incident severity classifications with no documented criteria — P1 vs P2 decided in the moment by whoever picks up the page
  • Change pipelines without explicit rollback decision gates — 'we'll roll back if it breaks' is not a governance model
  • Monitoring alert thresholds set ad hoc with no documented rationale — alert fatigue with no structured review process
  • Post-incident reviews that produce informal notes in a wiki rather than structured records that feed back into runbook improvement
DOMAIN CONNECTOR PagerDuty data ingested SCOUT AGENT Applies 3 universal assessment questions Ownership · Explicitness · Failure modes READINESS SCORE 1–10 Infrastructure Governance Score — per service tier and incident category STOP GO → Stage 2

Stage 2 — Architect Agent

What the blueprint delivers for IT / infrastructure.

01

Runbook decision-path map — every runbook converted to explicit decision nodes: if X, then Y, escalate to Z; no 'use judgment' permitted

02

On-call authority matrix — for every incident category and severity, a named role (not person) with defined authority limits and escalation path

03

Incident severity classification schema — documented criteria for P1 through P4 that any on-call engineer can apply without judgment

04

Change pipeline governance model — explicit rollback decision gates: who decides, what criteria trigger rollback, what the execution sequence is

05

Alert threshold governance register — documented rationale for every monitoring threshold, with review cadence and ownership

06

Post-incident review schema — structured fields that must be completed for an incident to be formally closed; feeds structured data back into runbook improvement


Stage 3 — Enablement Agent

Governed automations safe to deploy after blueprint approval.

STAGE 2 BLUEPRINT Approved + governed ENABLEMENT AGENT Deploys within blueprint boundaries only DIGITAL WORKER Live in PagerDuty governed + auditable SHADOW MONITOR Every decision logged · Kill-switch dashboard retained by leadership

Governed incident triage agent

Classifies and routes incoming incidents using the severity schema and on-call authority matrix defined in Stage 2. If an incident matches no defined category, it defaults to P2 and notifies the on-call role — never guesses or drops. Every classification decision is logged with the criteria that triggered it, creating a structured record for post-incident review.

Runbook execution assistant agent

Steps through approved runbooks with the on-call engineer — presenting the current decision node, logging the response, and advancing to the next step based on the structured decision path. Does not execute remediation actions autonomously; provides decision support with a complete execution log that becomes the incident record.

Change pipeline gate agent

Validates that every change request meets the minimum governance criteria defined in Stage 2 before it can advance in the pipeline — required fields populated, approvals in-system, rollback plan documented. Blocks changes that don't meet criteria and routes them to the defined reviewer, not a generic 'changes' queue.

Alert triage and correlation agent

Groups related alerts into correlated incident candidates using the defined correlation rules from the Stage 2 blueprint. Surfaces a structured correlation report to the on-call engineer — not a firehose of individual alerts. Correlation rules are explicit and auditable; the agent does not infer relationships not defined in the schema.

Post-incident review completion agent

Monitors incident records for completion of the structured post-incident review schema. When an incident is marked resolved without a complete review, it re-opens the review task and notifies the responsible engineer. Structured review data is fed back into the runbook governance register — creating a continuous improvement loop.


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Commercial opportunity

IT and infrastructure buyers are cautious — and correctly so. The sales process is longer than CRM, but the deal size is larger and the retention is higher. An organisation that has deployed a StructuredOps™ governed incident response system does not easily switch it out. The key differentiator in this domain is the runbook decision-path map — no other AI tool produces this as a prerequisite to deployment. Positioning: 'We don't automate your on-call response until your runbooks are governance-ready.' For regulated industries (financial services, healthcare, utilities), the audit trail from the runbook execution assistant agent is a direct compliance requirement — not a nice-to-have.


Start with IT / infrastructure

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