— Risk & Compliance

Findings consolidation

Fans multiple audit or review reports into individual findings, deduplicates repeats, and sorts them by severity into one consolidated register with sources retained.

  • Risk & Compliance
  • Traceable reasoning
  • Runs anywhere
Preview methodology

3–4 days → ~15 minutes

For a typical multi-document review workflow

No coding required

Input
Multiple audit or review reports
Output
A deduplicated consolidated findings register
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~3–4 days per run

— USE CASES

What people use Findings consolidation for

Year-end consolidation

Merge a year of internal audit reports into a single register the audit committee can actually work through.

Multi-site or multi-entity reviews

Collapse the same issue raised in five locations into one systemic finding with the sites listed.

Remediation planning

Get a severity-sorted register with recommended action and source per finding to drive the remediation plan.

What it works from

  • Multiple audit or review reports
  • Your severity and likelihood definitions
  • Any grouping you want preserved (entity, theme, owner)

What you get back

  • A deduplicated consolidated findings register
  • Severity- and likelihood-sorted ordering
  • Source report and recommended action per finding

— HOW IT BEHAVES

How Findings consolidation produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Whole sets of risk registers, controls and policy documents at once

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.

Composed as work product

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.

The same point counted once

Duplicate risks expressed in different wording are folded together, so the output reflects distinct issues rather than repetition.

Risk registers, controls and policy documents broken into reviewable risks

Long material is split into individual risks, so each one is assessed on its own merits instead of buried in a document-level verdict.

Delivered as a working table

The risks land as a clean table you can sort, filter or drop straight into the deliverable.

Why this is expensive by hand

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.

How this Skill produces it

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.

Who it's for

  • Internal audit and risk functions
  • Compliance and controls teams
  • Second-line functions reporting to committees
  • Risk consultants running assessments

Run it in Skillsize — or export it anywhere

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.

ChatGPTClaudeCopilotAI Products (MCP)
Risk & Compliance

Data Subject Access Request (DSAR) Engine

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.

Risk & Compliance

Audit evidence mapping

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.

Risk & Compliance

Claims Coverage Triage Engine

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.

Risk & Compliance

Incident Severity & Response

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.

Risk & Compliance

Privacy / Data-Transfer Approval

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.

Risk & Compliance

Regulatory gap assessment

Assesses current policies, controls and supporting evidence against regulatory requirements, producing a gap assessment and prioritised remediation plan for reviewer approval.