clean power: start with the customer’s decision

define the problem at the point of use

describe the person or organisation facing the problem and the current response. is the proposed value a clearer operating decision, improved reliability, less waste or another measurable result? identify which outcome the customer can observe and what they can reasonably attribute to your product.

separate the industry trend from the specific opportunity. the iea’s energy and ai report examines both the electricity needs of ai and its possible applications in energy. that context can inform a question, but it does not establish demand for an individual venture. read the iea report ↗

find the buyer and the operating owner

map who sees the problem, who controls the relevant information or equipment, who approves changes and who pays. a useful product may still struggle if the benefit accrues to one party and the cost falls on another.

ask what the customer can change after using the product. a dashboard that reveals a problem needs a route to a practical action. explain who takes that action, how it fits the existing process and what happens when a recommendation cannot be followed.

make the pilot a test of value

• baseline: document the current operating situation and its measurement limits.
• proposed change: specify the decision or workflow the product would improve.
• comparison: agree how to distinguish the effect from other changes over the period.
• delivery: identify integration, support and on-site work, alongside the software.
• commercial result: establish who will judge the benefit and what would justify ongoing payment.
• responsibility: agree appropriate technical oversight and the limits of the test before work starts.

explain why value continues

our interest is in technology businesses with a credible recurring model. show what the customer needs after installation or an initial analysis: continued monitoring, useful decisions, workflow support or another recurring benefit. separate this from one-off implementation work.

explain the cost and dependence behind delivery. access to operational data, equipment relationships and local support may determine whether the model can scale. do not call a business repeatable until you can explain what changes for the next customer.

identify what travels to the next market

a south african starting point can expose an important problem. expansion still requires understanding the next buyer, operating environment, alternatives and requirements. distinguish reusable product capability from local work that must be established again.

we assess the intended impact and the business carrying it together. measurable benefit, continuing customer value and a credible international route matter more to our thesis than an energy label alone. the examples here are assessment questions, not a claim about lab2sky’s portfolio.