Before AI accelerates your sustainability work, audit the assumptions it is built on.
AI can help sustainability teams move faster.
It can draft reports, summarize regulations, compare frameworks, generate strategy language, prepare board briefs, map stakeholders, write claims, and speed up analysis.
But speed is not the same as diagnosis.
If your sustainability work is built on inherited assumptions, AI may help you reproduce those assumptions faster, more fluently, and with greater confidence.
The AI Sustainability Assumption Audit helps leaders identify where AI-supported sustainability work may be accelerating consensus thinking, untested assumptions, or strategy-layer answers that leave the real ceiling untouched.
What This Audit is For
This is for organizations using AI in sustainability, ESG, circularity, product innovation, reporting, claims, or strategy.
It is especially useful if AI is being used to:
- draft sustainability strategies
- prepare ESG or annual report language
- summarize regulatory requirements
- compare frameworks
- generate product or packaging claims
- support circularity or net-zero planning
- create board or leadership materials
- accelerate consultant or internal team workflows
The question is not whether AI is useful.
It is.
The question is whether AI is accelerating work that has been properly diagnosed.
The Risk
AI systems are trained on and shaped by the existing sustainability corpus: the frameworks, reports, standards, articles, guidance, and institutional language the field has produced over decades.
That corpus contains useful knowledge.
It also contains the assumptions that have allowed sustainability work to produce more activity than transformation.
When AI returns fluent, confident sustainability answers, it may be reproducing the field’s operating consensus rather than testing whether that consensus is fit for the problem you are trying to solve.
The danger is not that AI is always wrong.
The danger is that it can be perfectly fluent in the wrong frame.
What The Audit Examines
The AI Sustainability Assumption Audit examines a defined set of AI-supported sustainability outputs.
These may include:
- AI-generated strategy drafts
- ESG or sustainability report sections
- circularity recommendations
- product or packaging claims
- board memos
- prompt-response logs
- framework comparisons
- internal guidance documents
- consultant drafts produced with AI assistance
The audit looks for:
- inherited assumptions treated as neutral expertise
- strategy-layer answers to belief-layer problems
- reporting language mistaken for transformation
- circularity framed as technical loop closure
- business-case logic that keeps sustainability structurally optional
- responsibility boundaries left untested
- confident answers that reproduce the same consensus the work needs to examine
What You Receive
You receive a concise AI Sustainability Assumption Audit memo identifying:
- where AI outputs are useful and reliable
- where they may be reproducing untested assumptions
- what frames are being repeated
- what questions are missing
- what responsibility boundaries remain invisible
- where human diagnostic review is needed before the output is used
- recommendations for better prompts, review criteria, and decision safeguards
How It Works
The audit is conducted in three steps.
1. Submit Materials
You provide a defined packet of AI-supported sustainability materials: up to 10 pages of output or equivalent prompt-response logs.
2. Diagnostic Review
Ken reviews the materials for assumption patterns, missing questions, and places where the AI output may be accelerating the existing consensus rather than testing it.
3. Audit Memo And Call
You receive a written audit memo and a 45-minute review call to discuss findings and next steps.
Typical turnaround: 4-5 business days.
What It Is And Is Not
This is not an AI implementation service.
It is not prompt engineering alone.
It is not a technical model evaluation.
It is not a legal, regulatory, or claims-compliance review.
It is a sustainability assumption audit: a diagnostic review of whether AI-supported outputs are carrying forward assumptions that may limit the work.
Standard price: $1,500
Scope: up to 10 pages with one defined AI-output memo.
Additional materials: quoted separately
AI can make sustainability work faster.
The question is whether it is making the right work faster.
Before AI-generated sustainability language enters a strategy, report, board deck, claim, or investment case, examine what assumptions it is carrying with it.
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Not sure if this is the right fit?
If you have questions before purchasing, book a short conversation with Ken to discuss the materials you want reviewed and whether the AI Sustainability Assumption Audit is the right instrument.