Smarter Savings: How Enistic AI Estimates Energy, Carbon and Cost Savings

December 12, 2025

Selecting the right energy-saving project is often far more complex than it first appears. Organisations face an overwhelming list of options, each with their different costs, operational implications, and expected savings. Without solid data, it can be extremely difficult to judge which projects are genuinely impactful, financially viable, or aligned with your Net Zero strategy.

Before committing to any energy-saving initiative, whether it’s upgrading lighting, introducing heat pumps, or redesigning transport policies, you first need to identify your starting point. If you don’t know where you are beginning from, you can’t know the direction your project is heading nor what impact it can deliver.

How much energy are you currently using? How much carbon could realistically be reduced? Will the investment pay off?

Clear reliable answers to these questions are essential for effective Net Zero Planning and for meeting compliance requirements such as ESOS, SECR, SBT, and CSRD. But obtaining these answers manually can be slow, data-heavy, and inconsistent. Enistic’s AI-powered project estimation engine provides a solution for this by delivering quick, reliable savings estimates underpinned by decades of real project data.

 

 

The Two Big Questions Every Estimate Must Answer

What level of accuracy is required?

Some projects only need a quick ballpark figure. Others, especially high-value or complex initiatives, require investment grade analysis with precise assumptions and detailed modeling.

Enistic typically provides a practical middle-ground, with estimates accurate enough to support decision-making and compliance, without the time and cost expenditure of manual deep-dive modelling.

What type of savings are you prioritising?

Different projects deliver different benefits. Understanding the primary goal of your project ensures the estimates reflect what truly matters. Are you prioritising energy savings, carbon savings, or financial savings?

 

 

How Enistic AI Estimates Your Savings

In three easy steps, Enistic AI generates savings estimates based on project category, site information, historic performance, and training data from past projects – delivering results that are significantly more accurate than generic AI models such as OpenAI, Gemini, and Claude.

 

Choose your project type: Select from a library of predefined project categories, or create your own.

Screenshot of Enistic’s Project Dashboard

 

Link your project to a site: Select a site for the platform to analyse based on size, operational profile and location, this allows the AI to generate context-specific assumptions and more accurate savings estimates.

Screenshot of Enistic’s Link to Site Section

 

Add optional details to improve accuracy: You can provide additional inputs to refine the estimate even further.

Screenshot of Enistic’s Additional Input Options

 

Get your savings estimate: The platform instantly generates projected energy, carbon, and financial savings, along with the full calculation methodology so you can review or adjust assumptions.

Screenshot of Enistic’s Results Statement 

 

A Smart, Fast Way to Estimate Project Impact

Understanding where you are starting from is the first step in any successful carbon reduction plan. Enistic AI provides the clarity, accuracy, and speed you need to confidently decide which projects to invest in.

If you’d like help using our AI-powered project estimation engine, we’re here to support you.

 

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  • Explore how Enistic is effectively used by companies to track, analyse, and report their carbon emissions.
  • Discover seamless methods for data gathering and integrating Enistic into your team's daily workflow with minimal disruption.
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