Most solar software stops at the proposal: a sizing estimate, a production curve and a price. That is useful, but it answers a narrower question than the one most clients are actually facing. The Business plan in EnerMind Solar was built to close that gap — to take the same underlying analysis and present it as a structured energy study rather than a single-purpose sales document.
A proposal sells a system. A study supports a decision.
A solar proposal is designed to present one project clearly: the system, the expected production and the commercial terms. That remains a core part of what EnerMind Solar produces. The Business plan builds on top of it, bringing in the surrounding context — consumption patterns, electrical conditions, storage, future loads and financial return — so that the output reads less like a sales sheet and more like a structured assessment of the client's broader energy decision.
What the study brings together
The Business Energy Study is organised around the areas that shape a real energy decision, rather than around the solar system alone:
- Consumption profile — how the client currently uses energy, as the baseline for everything that follows.
- Solar & inverter — system sizing and the production it is expected to generate.
- Storage — how battery capacity changes self-consumption and resilience.
- Electrical conditions — the existing installation context the system has to work within.
- Future loads & electric vehicles — how upcoming changes in consumption affect the sizing decision today.
- Equipment — the components the study and proposal are built around.
- Energy performance — how the system is expected to behave once installed.
- Financial analysis — savings, cash flow and payback, calculated from the client's own tariff and consumption data.
- Environmental analysis — the emissions impact associated with the project.
Each of these areas feeds into one document, so the client is looking at a single, coherent picture rather than piecing together separate spreadsheets and PDFs.
How it's calculated
The analysis itself — sizing, production, financial return and the other areas above — is produced by deterministic calculation engines: the same inputs will always produce the same outputs, and the logic behind every figure can be traced. Artificial intelligence plays a supporting role on top of that layer, helping interpret and present the results in clearer language. It is not what makes the numbers correct; the calculation engines are responsible for that. AI's role is to help communicate what the numbers mean, not to generate or validate them.
A document the client can actually use
The output of the Business plan is a structured document designed to be read by the client, not just by the installer. The aim is for someone without a technical background to understand what is being proposed, why it fits their situation, and what the financial and environmental implications are — without needing the salesperson in the room to translate it.
More examples, coming soon
This page is the starting point for the Business plan's publication history. As real studies and sample reports become available to share, they will be added here alongside this overview.