Ecology demo
Rank actions by effect, not by ease
Model candidate actions and order them by modelled effect with assumptions stated.
The challenge
Sustainability plans get ordered by what is easy, so the largest contributors stay untouched.
The scenario
A team has twenty candidate actions and budget for four, and needs the four that matter most.
What goes in
- Candidate actions
- The interventions under consideration.
- Baseline footprint
- The current position being improved.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Which actions would reduce our footprint most?”
- “What assumptions is this ranking using?”
- “What is the effect per unit of cost?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Model each action
EstimateEstimate the effect of each candidate.
Rank by effect
AI-inferredOrder by modelled impact rather than convenience.
State assumptions
SourceRecord what each estimate depends on.
What you get
The shape of what comes back — not a promised result.
Prioritised actions
EstimateActions ranked by modelled effect with assumptions listed.
Why it matters
- Budget follows impact
- The largest contributors get attention.
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Want to try this with your own work?
Open Ecology and bring your own data. No signup is needed to read these demos.