Make better decisions earlier.
What you build matters. How you build it matters too.
Architecture, models and features shape your product’s cost, performance and environmental impact long before launch. We help you see the trade-offs early, make smarter calls and keep the evidence as you go.
Two disciplines, one set of decisions
Sustainable product design and sustainable AI are usually treated as separate conversations. They are not. Both come down to what you build, how much of it, and how hard it has to work.
Sustainable products
A leaner product costs less to run, loads faster, and lasts longer before it needs rebuilding. The environmental case and the commercial case point the same way.
- Build less. Features nobody uses still cost compute, maintenance and attention. S-RICE ranks the backlog with that cost counted.
- Weight the trade-offs. Impact³ scores social, environmental and economic effects side by side, so they are argued about before launch.
- Design for longevity. Fewer dependencies, less bespoke complexity, and a handover that lets someone else maintain it.
- Measure what ships. Page weight, load time and hosting emissions treated as product metrics, not an afterthought.
Sustainable AI
The footprint of an AI feature is set by architecture, not intent. Model choice, call volume and caching decide the bill — and the emissions behind it.
- Right-size the model. The largest model is rarely the right one. Most tasks are served by something smaller, faster and cheaper.
- Cut wasted calls. Caching, batching and retrieval instead of repeated inference. The cheapest query is the one you never make.
- Question the feature. Some things do not need AI at all. We will say so — it is usually the largest saving available.
- Track cost per outcome. Tokens and compute measured against value delivered, so the number means something to your board.
The same lever moves both. Deciding not to build something is the most effective sustainability measure there is — and the only one that also gives you time back.
Small decisions, large numbers
Nobody chooses a model architecture thinking about electricity. In aggregate, that is exactly what those choices add up to — and increasingly, what your customers will ask you about.
of electricity went to data centres in 2024 — around 1.5% of the global total, growing at 12% a year.
IEA · Energy and AIthat figure by 2030 in the IEA base case — roughly 945 TWh, with AI named as the most significant driver.
IEA · Energy and AIof data-centre power could go to AI workloads by 2030, up from between 5% and 15% in recent years.
Report prepared for the IEAdatapoints in the VSME Basic Module — now the legal ceiling on what large customers can demand from smaller suppliers.
EU · VSME, in law since July 2026The honest version: energy per AI task is falling fast — by roughly an order of magnitude a year, on the IEA’s account — and a single text query uses less power than running a television for the same time. The problem is not the query. It is volume, architecture and features nobody needed. Those are product decisions, which is why they are ours to fix.
Where to start
Whether you need a number for a customer questionnaire, a lighter product, or both.
Sustainability Reporting Kit
Templates and guidance to put your own baseline together without hiring anyone.
£79 · instant download
- Reporting templates and worked examples
- Data collection checklist
- Plain-English guidance on what counts
- Yours to reuse each year
Digital footprint review
What your product and its AI features actually consume, and the three changes that would cut it most.
from £950 · 5 working days
- Hosting, page weight and load profile measured
- Model choice and call volume reviewed
- Cost and emissions per key user journey
- Ranked list of savings, largest first
VSME readiness sprint
For SMEs being asked for sustainability data by larger customers, lenders or investors — in a different format every time.
from £1,800 · 2–3 weeks
- Basic Module datapoints gathered and evidenced
- Gaps identified with a plan to close them
- One reusable answer set for every questionnaire
- Guidance on what you can decline to provide
- Refresh process your team can run next year
Sustainable build
Any Intellr build, with impact scored into the backlog rather than assessed after launch.
Included · in every build
- S-RICE prioritisation from day one
- Impact³ scoring on major decisions
- Efficiency budgets set before build starts
- Baseline measured at launch and handed over
Not sure which number you actually need?
Most people arrive with a questionnaire from a customer and no idea which parts they are obliged to answer. Send it over and we will tell you what applies, what does not, and what it would take to answer properly.
Prices exclude VAT. We measure, evidence and document your position — we are not an assurance provider, and we will say when you need one.
This isn’t a service line. It’s why the studio exists.
Intellr was founded on the belief that sustainability and governance belong in the build, not in a report written afterwards. That thesis shapes what we take on, what we decline, and how we advise founders who could ship faster by ignoring it.
Lighter costs less to run.
Thirty minutes to work out what your product actually consumes, what your customers will ask for, and which changes are worth making first.