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The problem it solves

Most engineering teams have access to AWS Cost Explorer, GuardDuty, and Trusted Advisor. The data exists. The problem is that turning that data into decisions takes time — someone has to pull the reports, interpret the numbers, figure out what to prioritize, and communicate it to finance or leadership. OpsBeacon does that work automatically, inside Slack, without a dashboard.

What Beacon does

Cost Intelligence

Monitors your AWS spend in real time. Flags anomalies with root cause, identifies the top cost drivers, and tracks savings recommendations to verified outcomes.

AI Economics

Tracks token spend by project and model. Scores AI efficiency, surfaces waste, and projects ROI across your AI workloads.

Security Economics

Translates security findings into dollar risk. Shows what each gap costs you per month if unresolved, and what it costs to fix.

FinOps Health Score

Scores your overall cloud financial health across cost optimization, AI efficiency, and security investment — and tracks improvement over time.

How it works in practice

You mention @Beacon in any Slack channel. Beacon responds with structured analysis — gaps, scores, dollar figures, and recommended next steps. You can ask follow-up questions in plain English, assign findings to teammates, and track whether fixes actually showed up in the bill. No dashboards to open. No exports to run. No waiting for the monthly FinOps review.

Who it’s for

OpsBeacon is built for teams that are serious about cloud economics but don’t have time to manage another tool:
  • FinOps Engineers and Cloud Cost Engineers who need faster analysis and less manual reporting
  • VPs and Directors of Engineering who want cost and security context without opening a console
  • Cloud Architects who want to quantify the financial impact of infrastructure decisions
  • Platform Engineering teams who own the AWS bill and need to communicate it upward

What OpsBeacon is not

OpsBeacon is not a replacement for AWS Cost Explorer, GuardDuty, or your CSPM. It reads from those tools and translates their output into decisions. Think of it as the analyst layer on top of the data you already have.