New — browser extension · zero workflow disruption

Your AI spend has a
reduction problem.
We fix that.

You're already reporting AI emissions in Scope 3. But you have no mechanism to reduce them. LittleLeaf gives every employee a real-time cost and environmental signal — right inside ChatGPT, Claude, Copilot, and Gemini.

$1
per user/month
flat pricing
typical ROI from
efficiency gains alone
0
workflow changes
required
2min
IT deploy via
Chrome Enterprise
claude.ai/chat · LittleLeaf active
C
Hello! How can I help you today?
This prompt could be green and more sustainable
A more concise version would reduce energy use and qualify for a lower token rate. Est. saving: $0.06 · 40% lower impact.
Please provide me with a comprehensive and detailed analysis of all ESG reporting frameworks across multiple sectors and geographies, covering all implementation challenges...
This prompt could be green~$0.09 · reword to save
$200k
Annual AI spend reduction for a 5,000-person enterprise at 10% prompt efficiency improvement
vs $60k/yr LittleLeaf cost → 3.3× ROI
0.24–0.34
Wh per average AI query (Google Gemini & ChatGPT disclosed figures). Complex prompts use up to 6× more.
Google Cloud (Aug 2025) · Altman/OpenAI (Jun 2025)
More CO₂e from a complex AI prompt versus a concise, well-structured one answering the same question
Dauner et al. (2025) · Frontiers in Communication
0
Major AI providers publishing per-query data beyond Google and OpenAI. Anthropic and Microsoft: no disclosure.
The reduction gap is real. LittleLeaf closes it.

The business case is threefold.
Pick your entry point.

We don't ask anyone to act for sustainability reasons. We give enterprises a financial reason to act, and the planet benefits as a result.

For enterprise organisations

Reduce AI spend.
Report your emissions.
Move from reporting to reducing.

You're already paying for AI at scale. You're already reporting IT emissions in Scope 3. What you don't have is a governance mechanism that operates where the cost is actually generated — the employee prompt.

💰
Direct cost reduction
A 10% improvement in prompt efficiency saves a typical enterprise 3× the LittleLeaf subscription cost in token spend alone — before any provider discounts.
📊
Scope 3 AI emissions dashboard
Disaggregate AI inference from your IT Scope 3 total. Get GHG Protocol-aligned figures for CSRD and SB 253 disclosure — with a reduction trajectory, not just a reported number.
Zero workflow disruption
IT deploys via Chrome Enterprise in minutes. Employees see a small leaf in their existing AI interface. No new tools. No new habits. No training.
🔒
Privacy-preserving by design
Prompt content never leaves the employee's browser. LittleLeaf sees only anonymised metadata: token count, rating, timestamp, region.
For AI providers

Smooth your load.
Reduce peak pressure.
Demonstrate transparency.

Peak AI infrastructure is expensive to provision and underutilised off-peak. LittleLeaf shifts enterprise usage toward green periods — reducing peak demand without reducing total volume. You benefit commercially without sacrificing a margin point on average.

📉
Load smoothing value
Moving 15% of enterprise usage from peak to off-peak reduces the infrastructure you need to provision for peak demand. The discount costs less than the capex it avoids.
🔐
Privacy-preserving API
Supply your actual consumption data to improve rating accuracy — without exposing proprietary infrastructure figures. Your data never leaves your systems.
Enterprise procurement advantage
Sustainability is becoming a procurement criterion. API participation demonstrates environmental transparency and satisfies enterprise ESG procurement requirements without competitive exposure.
💹
Revenue share model
Offer green-period token discounts. LittleLeaf negotiates the arrangement and takes a revenue share. You pay for load smoothing value that LittleLeaf created.

Your numbers. Your savings.

Enter your organisation's profile and see the projected financial and environmental impact of LittleLeaf. Conservative assumptions throughout.

Annual AI spend reduction
$200k
From 10% prompt efficiency improvement
LittleLeaf annual cost
$60k
$1/user/month flat pricing
Net annual return
$140k
3.3× return on subscription cost
Est. annual CO₂e reduction
170 tonnes CO₂e
From prompt efficiency + load shifting · proxy estimate ±40%
Est. annual water saving
800 litres
Equivalent to ~560 bathtubs · proxy estimate ±40%

Financial estimates based on published provider token pricing and a conservative 10% prompt efficiency improvement. Environmental estimates use the LittleLeaf proxy model built on disclosed figures from Google (0.24 Wh per median Gemini prompt, Aug 2025) and OpenAI (0.34 Wh per average ChatGPT query, Jun 2025), adjusted for prompt complexity using Dauner et al. (2025). Environmental figures carry ±30–50% uncertainty. Financial figures are independently verifiable from token pricing and usage data.

From decision to deployed
in under two hours.

No new contracts. No API changes. No employee training. LittleLeaf works inside the AI tools your people already use.

1

IT deploys the extension

Your IT team pushes the LittleLeaf browser extension to all managed devices via Chrome Enterprise or Microsoft Intune. A standard operation that takes minutes, not days. No changes to existing AI provider contracts or configurations.

2

The leaf appears in existing interfaces

Employees continue using ChatGPT, Claude, Copilot, and Gemini exactly as before. LittleLeaf overlays a small leaf indicator in the prompt field — green, amber, or red — that updates as they type. No new tab. No new URL. No new workflow.

3

Prompts shift. Costs fall. Emissions reduce.

Amber and red leaves prompt employees to reword for efficiency or defer to a greener grid window. The enterprise dashboard shows real-time cost savings, prompt rating distribution, and Scope 3 AI emissions — with a reduction trajectory over time.

Three states. One decision.
No workflow disruption.

The leaf never blocks a prompt. It informs, nudges, and rewards — without interrupting the work that needs to get done.

Green leaf
Low intensity · efficient timing
Prompt is well-structured and concise. Grid carbon intensity is low. No intervention. A quiet positive signal that the employee is working efficiently.
Discounted token rate active
Amber leaf
Moderate intensity · can be improved
This prompt could be green and more sustainable. A soft nudge suggests a reword or a deferral to a greener grid window. Employee chooses. Always.
Reword to go green · save est. 40–60%
Red leaf
High intensity · peak period
High environmental impact prompt during a peak grid period. Three options offered: reword to go green, defer to a greener window, or use a lighter model. All dismissible.
Go green by rewording · save 50–70%

You report it.
Now you can
actually reduce it.

Most enterprises already include cloud compute and IT hosting in Scope 3. The gap is not reporting — it's reduction. LittleLeaf is the first tool that gives enterprises a real lever for the AI component of their IT emissions.

Disaggregate AI inference from your broader IT Scope 3 figure — for the first time
GHG Protocol-aligned dashboard formatted for CSRD, SB 253, and audit review
Reduction trajectory showing how prompt governance is reducing your footprint month-on-month
Confidence scoring on all estimates — transparent methodology for assurance and audit
LittleLeaf · Scope 3 AI Emissions Dashboard · Q2 2026
Annual AI emissions
38.4 tCO₂e
↓ 18% vs Q1 · GHG Protocol Cat. 11
Token spend saved
$47,200
YTD · from prompt efficiency
Water saved (est.)
68,000 L
YTD · proxy estimate ±40%
Prompts rated green
68%
↑ 12pp vs baseline month
Prompt rating distributionThis month
Green 68%
Amber 22%
Red 10%
Research and data sources — every figure in LittleLeaf is citable
Google / Gemini
0.24 Wh · 0.03 gCO₂e · 0.26 mL
Per median text prompt. First major provider disclosure. Full methodology published. Excludes reasoning models and image generation.
Google Cloud Blog · Aug 2025
OpenAI / ChatGPT
0.34 Wh · 0.32 mL water
Per average ChatGPT query. Blog disclosure by Sam Altman. Corroborated by Epoch AI (2025) independent estimate of ~0.3 Wh. No methodology published.
Altman blog post · Jun 2025
Complexity multiplier
Up to 6× more CO₂e
Complex questions vs concise answers tested across 14 LLMs. Reasoning models produce up to 50× more emissions than simpler systems.
Dauner et al. (2025) · Frontiers in Communication
Token-length scaling
13× energy increase at 15× tokens
Frontier-scale models (>200B params) median 0.34 Wh. With 15× more tokens per query, median rises 13-fold to 4.32 Wh.
Epoch AI (2025) · AI inference energy study

Anthropic and Microsoft have not published per-query environmental data as of 2026. Claude and Copilot estimates use proxy figures consistent with disclosed frontier-class model baselines. All environmental figures carry ±30–50% uncertainty on absolute values. Relative ordering (green < amber < red) is calibrated against a distribution and is more robust than absolute figures. Full methodology: littleleaf.ai/methodology

Moringa oleifera leaflet
with circuit-vein geometry

“The leaf that purified water for centuries now asks AI to use it wisely.”

The Moringa oleifera tree has been used for centuries across Africa and South Asia to purify contaminated water. Its seeds bind to contaminants and settle them out — an ancient technology that does more with less. The tree survives drought on minimal water while producing nutrition and medicine.

The Moringa leaflet's form mirrors a neural network: a central pipeline with branching compute paths, each node contributing to a result greater than its parts. The circuit-vein geometry inside the LittleLeaf mark encodes the AI dimension structurally — right-angle branches terminating in nodes. The blue water droplet at the stem base anchors the environmental mission.

LittleLeaf borrows the Moringa's form and its philosophy. Like the tree itself, it asks one question before every AI action: does this need to be this heavy?

Your AI spend is growing.
Your Scope 3 obligations are expanding.
Your reduction lever is here.

Deploy in minutes. ROI-positive from efficiency savings alone. Environmental benefits included.

$1 / user / month · flat pricing · no setup fees · cancel any time · Scope 3 dashboard available as premium tier