Year-end consolidation
Merge a year of internal audit reports into a single register the audit committee can actually work through.
— Risk & Compliance
Fans multiple audit or review reports into individual findings, deduplicates repeats, and sorts them by severity into one consolidated register with sources retained.
3–4 days → ~15 minutes
For a typical multi-document review workflow
No coding required
— USE CASES
Merge a year of internal audit reports into a single register the audit committee can actually work through.
Collapse the same issue raised in five locations into one systemic finding with the sites listed.
Get a severity-sorted register with recommended action and source per finding to drive the remediation plan.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
All of your risk registers, controls and policy documents is processed as one set, so patterns across documents surface instead of being read one file at a time.
Findings on the risk universe in scope are written up as a document that reads like professional output, with each claim tied back to a risk.
Duplicate risks expressed in different wording are folded together, so the output reflects distinct issues rather than repetition.
Long material is split into individual risks, so each one is assessed on its own merits instead of buried in a document-level verdict.
The risks land as a clean table you can sort, filter or drop straight into the deliverable.
Several reviews across the same estate produce the same finding in three different wordings. In practice it shows up as year-end consolidation: merge a year of internal audit reports into a single register the audit committee can actually work through. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 3–4 days of senior time whenever it comes round.
Skillsize turns that work into a Skill: you supply the material, and what comes back is a deduplicated consolidated findings register, with severity- and likelihood-sorted ordering. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. Net effect: 3–4 days down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Findings consolidation 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.
Assesses a data subject access request end to end and returns a governed decision on whether to fulfil it, fulfil it in part, refuse it with reasons or extend the deadline, having verified identity, mapped the request to the systems that actually hold the data and held the outcome for a data protection sign-off before anything is disclosed.
Pairs a full evidence set against every audit assertion or PBC item to produce a coverage matrix, naming the assertions nothing supports and the documents supporting nothing.
Reads a submitted claim against the policy wording that governs it and returns a coverage assessment showing whether it appears covered, potentially excluded or in need of specialist review, mapped clause by clause and never issued without a handler's sign-off.
Assesses a reported incident against your response playbook and policies, assigns the severity band the evidence supports, and returns the matching response plan with the notifications, owners and timelines that band requires.
Assesses personal-data processing and cross-border transfers against privacy policy and jurisdiction rules, producing a documented approval outcome with conditions, policy evidence and grounds for referral.
Assesses current policies, controls and supporting evidence against regulatory requirements, producing a gap assessment and prioritised remediation plan for reviewer approval.