Risk & Compliance

Regulatory change impact assessment

Researches a named regulation live, extracts each obligation with its clause reference, and maps it against uploaded policies to produce a gap report.

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

1–2 weeks ~15 minutes

For a typical multi-document review workflow

No coding required

Input
The regulation or framework name
Output
An obligation-level coverage matrix with clause references
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1–2 weeks per run

— USE CASES

What people use Regulatory change impact assessment for

New regulation readiness

Establish, obligation by obligation, where existing policy already covers you and where it does not.

Board and regulator briefings

Show coverage status against named clauses instead of a general commitment to compliance.

Remediation scoping

Turn the gaps into a costed work list with a suggested owner attached to each obligation.

What it works from

  • The regulation or framework name
  • Your policy, control and process documents
  • The entities or jurisdictions in scope

What you get back

  • An obligation-level coverage matrix with clause references
  • Named gaps with remediation actions and suggested owners
  • Live-researched obligations rather than model recollection

— HOW IT BEHAVES

How Regulatory change impact assessment produces its result

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

Coverage, both directions

A coverage pass shows what is supported and what is not — including requirements with nothing behind them and material that supports nothing.

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.

Live external research

Current external sources are researched during the run rather than recalled from training data, and the sources travel with the output.

Composed as work product

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

Why this is expensive by hand

Every risk & compliance team needs regulatory change impact assessment — and almost none of them do it the same way twice. In practice it shows up as new regulation readiness: establish, obligation by obligation, where existing policy already covers you and where it does not. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 1–2 weeks of senior time whenever it comes round.

How this Skill produces it

As a Skill, the work is already sequenced. You bring the evidence, and the run produces an obligation-level coverage matrix with clause references plus named gaps with remediation actions and suggested owners. 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. In effect, 1–2 weeks of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran 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

Regulatory change impact 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.

ChatGPTClaudeCopilotAI Products (MCP)

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