Engineering and AI budgets are growing faster than anyone can explain them. We built EngLedger to tie every dollar (human hours and AI tokens) to the work it delivered, with evidence a board will accept.
For a decade, engineering was a cost the business carried on faith. Now AI has added a second bill that grows every month, and both are usually reported by someone who has to be in the room to explain them.
EngLedger exists to remove that person from the equation. We meter engineering effort and AI usage, tie both to the tickets and initiatives they moved, and put the result next to the cost it belongs with. The headline isn’t how much you spent. It’s what the spend delivered, and how much of it you can actually account for.
Plenty of tools count adoption: who’s using AI, how often. Far fewer answer the question a finance leader actually asks: what did that money produce? That answer is the whole reason we’re here.
EngLedger is a Buildlight Labs product, built in Brisbane, Australia. Being small is the point. It’s why setup takes half an hour, why the roadmap is public, and why we’d rather ship a number you can trust than a dashboard you can’t.
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