AI for sustainability professionals who want to get back to the actual impact.
Bespoke systems, skills and workflows, grounded in two decades of sustainability advisory.
Sustainability professionals now spend far too much of their time administering sustainability instead of doing it.
AI could change that but few have the expertise to set it up properly.
We could possibly be of service.
How it fits together
Three layers, in a fixed order.
Read it from the bottom up. The order is the whole point: nobody can start at the top.
Bespoke systems
Built around your setup and processes.
Connected data via MCP
Your systems feed the workflow directly.
Live dashboards
Spreadsheets become living tools.
The second layer
Skills, agents and workflows, grounded in the library below.
Twenty years of sustainability expertise
Global regulatory and standards library·Emission factors·Senior advisers behind every build
How data flows
Your systems already hold the data. The second layer reads it where it lives.
Through MCP connections and shared folders, the AI works directly on the source. Nothing is copied into yet another platform. Data collection becomes a check rather than a chase.
Where the data lives
Live feed or the export the system already produces
The second layer
Skills, agents and workflows
Checked by a person, then used
What comes out
What can become redundant
The annual data-collection email. Survey tools that ask colleagues for figures your systems already hold. The consolidation spreadsheet. Manual regulatory monitoring. Often, the reporting platform itself.
What stays
Your systems of record, untouched. Your method, now documented. Your judgment, applied where it matters instead of spent on copying numbers between files.
What we build
Examples of what we can build
Every build is bespoke. These are the shapes most engagements take, with an illustration of what each looks like in practice.
01
Bespoke sustainability systems
Tailored to your organisation, powered by Ethos skills and document library.
In practice
A group with many subsidiaries, each reporting energy and emissions on its own template. We build one system that reads each unit's files as they are, maps them to the group's method, flags gaps and inconsistencies, and produces consolidated figures with a trail back to every source cell. Consolidation becomes a review session instead of a project.
What it replaces
The master spreadsheet and the person who is the only one who understands it.
02
Connected data collection via MCP
Your systems and files feed the workflow directly, no annual email chase.
In practice
Instead of asking colleagues across the business for their figures every spring, the sustainability team's AI reads energy consumption, headcount, travel and procurement spend directly from the systems that hold them, through MCP connections we set up with your IT. Where a system has no connector, a shared folder does the job: the skill reads what colleagues already save there. The team checks and challenges; it no longer collects.
What it replaces
The survey tool, the reminder emails, and the reporting platform that only exists to hold copies of your data.
03
Climate risk and target modelling
Your emissions, your activities and your targets in one model, so scenarios take an afternoon rather than a quarter.
In practice
Your emissions inventory, activity data, energy contracts, fleet plans and supplier footprints are combined into one model. From there the team can run what-ifs: what happens to the 2030 target if the fleet electrifies two years later, if a supplier shifts production, if carbon prices follow a given path. Physical and transition risks are modelled against the same data, for the current year, the next three, and the horizon your targets are set for. Each scenario keeps its assumptions attached, so the board sees not only the number but why.
What it replaces
The scenario workbook rebuilt every time an assumption changes, and the external study that is out of date when it lands.
04
Bespoke risk signals
Continuous scanning for sanctions, disruptions and geopolitical shifts, alerting you when something changes.
In practice
An agent tuned to your supply chain reads sanctions lists, trade and customs updates, and news from your sourcing regions continuously. When something touches one of your suppliers, a commodity you depend on or a route you ship through, the right person gets a short note with the source attached and a suggested next step. Nothing arrives that does not concern you.
What it replaces
The Friday afternoon of reading newsletters, and finding out from a journalist.
05
Live dashboards and strategy visuals
Spreadsheets become living tools; roadmaps and targets update as data does.
In practice
The transition plan lives in a deck from last year and a spreadsheet nobody opens. We turn it into a living roadmap: targets, initiatives and actuals in one view, updated as the underlying data changes. The board sees where you are, not where you were at the last close, and the sustainability lead stops rebuilding the same chart every quarter.
What it replaces
The quarterly slide-building exercise.
How we deliver
Senior-led, from the first conversation to the running system.
01
Discovery
Map your processes, systems, data and AI maturity. Define what to build and the outcome.
02
Design and prototype
A first working version in your context, fast and visible.
03
Build and integrate
Harden it, connect data sources, weave in Ethos skills and document library.
04
Implement and embed
Into your real processes, with a senior adviser behind it, never just a tool.
05
Maintain and improve
Ongoing support as regulation and data change.
The model flexes to your AI maturity. AI-ready teams run a faster, deeper build track. Teams newer to AI run a track where Ethos carries the AI leverage. Always senior-led.
Why this is different
Three things that rarely sit in the same room.
Domain depth
Twenty years of sustainability advisory and regulatory expertise.
AI-native build capability
Bespoke software, viable below enterprise price levels.
Implementation responsibility
Inside your real processes, grounded in your own data.
Others have one of these legs. The combination is the position.
