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 uploaded as a set
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 uploaded as a set
  • 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 document sets at once

A folder of material is processed as one set, so cross-document patterns surface instead of being read one file at a time.

Composed as work product

Findings are written up as a document that reads like professional output rather than raw model text.

Duplicates folded together

The same point expressed in different wording is merged, so the register reflects distinct issues.

Broken into reviewable units

Long material is split into individual units — clauses, findings, steps — so each one is assessed on its own merits.

Delivered as a working table

Results 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

  • Independent consultants codifying their own methodology
  • Strategy and transformation teams standardising delivery
  • Internal advisory functions under pressure to produce faster
  • Operators who need defensible output, not a one-off chat answer

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)

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