Continuity readiness review
Provides a process-level view of tested recovery performance against agreed RTO and RPO targets. Highlights where recovery capability falls short of business requirements.
— Operations & Process
Compares business impact analysis RTO/RPO targets against actual recovery test results per process, scores readiness, and prioritises recovery investment by tier and gap severity.
1–2 weeks → ~25 minutes
For a full population, not a sample
No coding required
— USE CASES
Provides a process-level view of tested recovery performance against agreed RTO and RPO targets. Highlights where recovery capability falls short of business requirements.
Prioritises recovery improvements by business criticality and gap severity, giving decision-makers a clear basis for allocating funding to material shortfalls.
Summarises readiness and target breaches in an evidence-based diagnostic report. Supports a grounded discussion of what recovery tests demonstrate and where weaknesses remain.
Distinguishes recovery time shortfalls from breaches of data loss tolerances. Shows which processes exceed either target, alongside recorded test outcomes.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Each row of your export is processed on the same basis, so no process step is skipped however long the table is.
Movement across the end-to-end process is visualised from the computed data, so the trend is legible at a glance.
Findings on the end-to-end process are written up as a document that reads like professional output, with each claim tied back to a process step.
Derived columns are added row by row, keeping your source data and the judgement about each process step side by side.
Recovery targets can look credible in a business impact analysis while remaining unproven in practice. Continuity readiness review is the typical trigger — provides a process-level view of tested recovery performance against agreed RTO and RPO targets. Highlights where recovery capability falls short of business requirements. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.
As a Skill, the work is already sequenced. You bring the evidence, and the run produces process-level RTO and RPO gap assessment plus flags for recovery time and data loss target breaches. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. The practical effect: 1–2 weeks of manual work becomes a ~25 minutes run, held to an identical standard on the tenth engagement as on the first.
Business continuity RTO/RPO gap assessment exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
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