Every cloud cost tool I've looked at has the same number on the front page. "Potential savings: $487,000 a year." Sometimes bigger. It grows every quarter. Looks great in board reviews.
The number's not wrong. It's just not real.
Someone reads the recommendation. A week later, if you're lucky, someone else has actually stopped the resource. Most of the time, nobody does. The savings stay on paper. The "recommended" number on the dashboard keeps growing while the actual bill barely moves. This is the gap where every FinOps tool quietly fails its users.
I've been calling it the savings lie. Not because anyone's lying on purpose. It's just that "recommended" and "realised" are two completely different numbers, and tools love to show you the first one.
The distinction matters:
Recommendation = "This EC2 is idle. You could save $312/month by stopping it." You still do the work.
Remediation = click. Instance stopped. Saved.
Every cost tool does the first one. Almost no tool does the second one well. And the reason is honestly fair. You can't just ship a button that fires cloud API calls. One wrong stop on a "looks idle" prod box and you're in an incident review the next morning. So most tools stay in the safe zone of just suggesting things.
We spent the last few months trying to close that gap. We call it Auto-Remediation. Stop an idle EC2. Pause a Synapse pool. Scale a Lambda to zero. Shut down a forgotten SageMaker notebook. No console hop, no ticket, no waiting on another team. The recommendation becomes the action.
The hard part wasn't the button. It was making the button safe enough to ship. The shape we landed on:
And the button only shows up on rules we've certified end-to-end. If a rule isn't proven, the button isn't there. Better to leave it off than fake a remediation.
Last time I posted here, back in May, it was about the cloud bill person on every team (https://www.indiehackers.com/post/someone-on-your-team-became-the-cloud-bill-person-they-have-no-idea-how-it-happened-30854c752d) .
The recommendations pile up faster than anyone can act on them, and the list slowly becomes background noise. Auto-Remediation is what came out of that.
What I'm actually curious about. How does your team handle the recommendation-to-action gap today? Is there a weekly ritual where someone runs the list manually? A ticket queue that quietly grew so long nobody opens it anymore? Or have you given up on the recommendations and just track top-line spend?
This is a strong framing because “potential savings” has become almost a vanity metric in FinOps.
The harder buyer question is not “how much can we save?” It is “which savings can we safely turn into realized savings without creating operational risk?”
That safety gap is probably the real product.
The part I’d be careful with is making Auto-Remediation sound like just a faster action button. For cloud teams, the trust layer is the sale: pre-checks, approval gates, validation, audit logs, and only showing actions where the rule is proven end-to-end.
If that is not clear, buyers may agree with the problem but still hesitate to let the tool touch production.
Happy to put a tighter version in writing if useful. The useful part would be the buyer-facing positioning, the trust/safety message, and how I’d frame this for FinOps teams without making it sound risky.