From Draft to Delivery (The Responsible AI for High-Stakes Writing Story)

Sorry I did not see the vision
Thank the Lord
The AI-assisted you has risen

An anonymous reader of your old writing (rumour says it’s Sabrina Carpenter)

If you write for regulators, boards or clients, AI can speed you up (and get you in trouble). This rubric shows how to use AI responsibly in your writing without risking your credibility or voice.


Context

You don’t have to take my word for it; we can look to the news for AI case studies. Recently, Deloitte was exposed for using undisclosed AI (without checking the output) in a $440,000 Government report. They ended up correcting the report and disclosing the AI, but it was a costly mistake.

Deloitte provides a specific case study on the direct cost of AI, but it is also vital to consider the environmental costs and reports of stolen IP. We will discuss how to approach AI with a critical eye, but it is also worth critically thinking about whether a task needs AI at all, given its issues.

For financial services professionals, these issues highlight the importance of disclosure, verification, and accountability when AI tools are used in preparing client advice, compliance reports, or Statements of Advice.

Doom and gloom, over; let’s get to the rubric.


Stage of Writing: Match the Tool to the Moment

At different stages of the writing process, AI can be used for different tasks.

StagePossible AI UseCalibration Notes
IdeationBrainstorm topics, generate counterpointsStay in charge of what matters, and why
OutliningStructure and flow suggestionsGet variants and make the final decision yourself
Drafting (Core)Light boilerplate or low-stakes sectionsVoice and insight must be yours
Drafting (Technical)Summarise regulationCross-check everything
EditingClarify, condense, or improve transitionsKeep control over rhetoric and tone
ProofingGrammar and polishAccept if aligned with your style

Cognitive Load

AI is better at supporting tasks with low- to medium-complexity. If the task demands judgment, interpretation, or legal nuance, AI’s role is strictly supportive.

Don’t let it write your argument or decide your message!


Fidelity Threshold: How High is the Cost of Error?

Fidelity Level RequiredAI Use Guidance
High (e.g., case law, legislation)Use for reference, but verify rigorously!
Medium (e.g., interpreting reports)Use with judgment; AI may misinterpret data
Low (e.g., tone smoothing)Go for it, but review for consistency and tone

Counterpoint Stress Testing

Use AI to break your own frame. The goal isn’t to have AI validate your view, but to work as a tool to push your thinking towards stronger arguments.

Prompt it to:

  • Generate counterarguments
  • Highlight implications
  • Simulate opposing stakeholder positions

Ask questions like:

  • “What would a regulator push back on here?”
  • “What assumption am I not interrogating?”
  • “How might this framing be misunderstood?”

Use this to improve the resilience and depth of your position.


Feedback Fidelity Score (FFS)

Rate AI suggestions across three axes:

Axis1–234–5
RelevanceOff-topicVaguely usefulDirect hit
FidelityInaccurateSort of thereFactually grounded
Style AlignmentRobotic, weird vibeClose but not thereIn voice

Only adopt edits scoring 4–5 across the board. AI is helpful, but don’t use it at the risk of your voice and credibility.


Final Filter: The Expert Room Test

Before incorporating any AI-generated suggestion, ask yourself:

“Could I defend this in front of a regulator, peer reviewer, or expert panel?”

If not, it doesn’t belong in your work.


Closing Thoughts

Used well, AI doesn’t write for you. It argues with you. It reveals assumptions, tests structure, and forces clarity. But only if you keep your hand on the wheel. Treat it as an intellectual sparring partner that helps you move faster by thinking harder.

This rubric isn’t a checklist to follow mindlessly; it’s a way of working that demands discernment, not dependence. Don’t expose yourself to unnecessary risk, but approach AI with a critical eye and belief in your own capacity.

If you’d like help navigating the complexity, reach out to Assured Support today.

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Tool Guide

It’s a case of trial and error to find an LLM that suits your needs, but here is a table of some tasks and tools to get you started.

Keep in mind that every tool will need you to check the output!

Writing TaskBest ToolWhy It’s Best
Ideation / BrainstormingGPT-4o (ChatGPT), Claude 2.1Strong creative thinking, analogy generation, and reframing complex problems across disciplines.
Outlining / Structuring ArgumentsGPT-4o, Anthropic Claude 2.1Excellent at hierarchical logic and organising complex documents
Technical Summarization (e.g. ASIC reports)Claude 2.1, Perplexity.ai ProClaude’s long context memory + Perplexity’s web access = accurate-ish summaries
Drafting Low-Stakes Content (Intros, bios)GPT-4o (ChatGPT), Gemini 1.5 ProFluent, varied style generation; good at tone-matching
Editing for Clarity & FlowGPT-4o, Claude 2.1Strong at restructuring arguments, improving transitions, and refining tone without losing meaning
Tone/Diction CalibrationGPT-4o (with custom instructions)Best at mimicking professional or institutional voice. Custom GPTs outperform default settings
Grammar & ProofingGrammarly Premium + GPT-4oGrammarly = fine-grained grammar; GPT-4o = stylistic finesse
Stress-Testing Arguments (Devil’s Advocate)Claude 2.1, GPT-4oClaude is tactful and precise in opposition; GPT-4o is better at broad scenario testing
Simulating Expert Pushback (e.g., Regulator)GPT-4o, Claude 2.1Use prompt engineering: “Argue as if you are ASIC…”
Factual Cross-Checking / Source ValidationPerplexity.ai Pro, Bing CopilotRetrieval-augmented tools. Useful for real-time data, citations, and triangulating regulatory positions (but validating is for humans)
Simplifying Legal/Technical LanguageClaude 2.1, GPT-4oClaude is better at “explain like I’m 12”; GPT-4o better at “smart but clear”

Frequently Asked Questions

Why does responsible AI use matter in financial services documentation?

Because regulatory and board documents often contain legally binding advice or disclosures, AI errors or undisclosed use can compromise compliance, accuracy, and trust.

What does ‘undisclosed AI use’ mean in practice?

It refers to using AI-generated content without informing the client, regulator, or reader, which may breach transparency or professional conduct standards and undermine your expertise.

How can I decide if AI should be used in a document?

Assess both the complexity of the task and the cost of error. Use AI for low-risk drafting or editing, but retain human judgment for analysis, advice, and interpretation.

What is the ‘Expert Room Test’?

A simple pre-publication question: “Could I defend this AI-assisted section before a regulator or expert panel?” If not, it shouldn’t be included.

Which AI tools are best suited to compliance writing?

GPT-4o and Claude 2.1 perform well for drafting and tone calibration, while Perplexity.ai Pro helps with citations. Always verify outputs manually.

Keep exploring

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