ESG & Carbon
Know your numbers. Answer the question that just landed.
Example data · GHG Protocol · DEFRA factors
ESG, operations and AI look like three different jobs. Most of what I do sits in between. Pick any skill to see where I’ve used it, then go straight to the proof.
Scope 1, 2 and 3 footprints to the GHG Protocol using DEFRA factors. A baseline you can defend in a room.
Product footprints from raw material to end of life, to ISO 14067 and aligned to ISO 14040/44.
Knowing what the assessor rewards and building the evidence to match. As EcoVerify’s first employee, I took the firm’s clients to Gold and Platinum.
SASB- and CSRD-aligned materiality, so reporting effort goes where it actually counts.
A company’s first sustainability report, from no data to a document a human can read. Done on placement at Concentric.
Take a project, run it end to end, hand it back done. The core of the work.
Writing down how the company works so it survives the founder being busy. At EcoVerify, the SOPs that let the company hire.
Set the assignment, interviewed and hired a placement student while still EcoVerify’s first employee.
Break-even, runway and scenario models that make the decision obvious.
Incorporation and a shareholders' agreement at fitshare; deposit terms and contract groundwork at Resting Reef.
Customer personas, a sales cheat sheet and the SOPs behind a site expansion.
Multi-step AI systems with a person approving every output. Nothing sends itself.
I write the spec and make the calls; AI writes the code. Telo shipped this way.
Reusable skills and internal tools for my own practice: SEO/GEO audit reports, a visual sitemap tool, a design reference library.
Supabase, Vercel and Cloudflare. Real apps on real URLs, gated where they need to be.
At EcoVerify, I ran the firm’s client accounts end to end, from proposal to submission.
Testing whether a sustainability business idea pays: unit economics, pricing and break-even.
Turning an assessment rubric into scoring logic that shows the cheapest route to a target.
EU AI Act duties for small firms, and estimating what your AI use costs the planet.
GA4, Search Console and Looker Studio set up so the numbers can be trusted.
HubSpot, Google Ads and Meta reviewed for what is actually earning its keep.
Ranking in search and in the answers AI models give. Audits and roadmaps.
A prompt library and SOPs so a whole team uses Claude well, not just one person.
Idea to clickable product, fast. Built at a hackathon, then finished properly afterwards.
Tiered sources, graded evidence and a knowledge base that grows. The method behind every recommendation.
Reports, proposals and decks that get a yes. Metaphors, not jargon.
Know your numbers. Answer the question that just landed.
Example data · GHG Protocol · DEFRA factors
Hand it over. Get it back done.
AI solutions for sustainable companies. You stay in charge.
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Every skill above links to where I’ve done it. Thirty minutes is enough to tell whether it fits.
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