Introduction
ISO27001 compliance is one of those things that looks neat in a certificate on the wall… but behind the scenes, it can feel like endless work. Policies need reviews. Procedures must stay aligned with controls. Evidence has to be up-to-date and traceable.
If you’re managing compliance in Confluence and Jira, you know the drill: hundreds of documents, different owners, and a constant cycle of audits. For me, the problem was simple: manual checks just don’t scale.
So I decided to try something new, I built a Rovo Bot (friendly name: Cycubot) that automatically checks our Atlassian documentation against ISO27001 & ISO27701 requirements. Here’s how it went.
The Compliance Challenge
In our Atlassian environment, we use:
The challenge? ISO27001 requires:
Evidence that documents are reviewed regularly.
Clear ownership and approval workflows.
Traceability between controls and supporting documents.
Doing all this manually meant:
Chasing people to update documents.
Manual cross-checking hundreds of pages.
Worrying we’d miss something right before an audit.
That’s when I thought: “Why not let a bot do the heavy lifting?”
Enter the Rovo Bot
For those new to it, Rovo is Atlassian’s AI-powered teammate that lives right inside your workspace. You can ask it questions, automate tasks, and extend it with custom bots.
I built a Rovo Bot for ISO27001 & ISO27701 that scans our documentation and flags compliance gaps. Think of it like an automated internal auditor that never gets tired.
What the Bot Checks
The Rovo Bot acts as an expert compliance assistant for ISO/IEC 27001:2022 and ISO/IEC 27701:2019. Instead of checking line-by-line technical controls, it provides high-level policy verification to ensure that uploaded or linked policies and procedures align with the intent of the standards.
Here’s how it works:
Policy-Level Focus: Reviews documents to check coverage, partial coverage, or missing alignment against ISO/IEC 27001:2022 and ISO/IEC 27701:2019.
Gap Analysis: Identifies gaps, overlaps, or ambiguities that could result in audit findings, and prioritizes them by severity (Critical, High, Medium, Low).
Clause Mapping: Maps policy statements directly to ISO clauses and Annex A (or 27701 clauses), always citing control numbers for audit traceability.
Language Quality: Flags vague or non-auditable terms (e.g., “may,” “sometimes,” “where possible”) that auditors dislike.
Cross-Standard Insights: Highlights overlaps between 27001 and 27701 (e.g., where one statement satisfies both security and privacy requirements).
Recommendations: Provides strategic, high-level recommendations (e.g., “policy shall ensure…”), framed in terms of risk reduction and alignment, not box-ticking.
Evidence Guidance: Suggests the kinds of records or approvals an auditor would expect to see as supporting evidence.
Workflow Alignment: Proposes ownership, reviewers, and approvers based on the content and organizational ISMS/PIMS governance.
The bot always outputs results in a structured template:
Document Title & Scope – purpose, tier (strategic / executive / operational).
Clause Mapping Table – Clause → Assessment → Alignment ✅/⚠️/❌ → Notes.
Gaps & Risks (Ranked) – with residual risk impact.
Policy-Level Recommendations – high-level, vendor-neutral.
Cross-Standard Overlaps – shared requirements across 27001 & 27701.
Evidence Suggestions – what auditors would expect to see.
Approval Workflow Assignment – suggested owners, reviewers, and approvers.
In short: the bot transforms manual ISO policy reviews into a consistent, automated, and audit-ready process, while still leaving final judgment to human compliance experts.
Have you tried using Rovo or other bots to help with compliance automation?
What checks would you want a bot to handle for ISO27001 (or other standards)?
I'm looking forward to your thoughts / comments.
Thanks,
Fabio
