PROBLEM
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Modern enterprises sit on a fiscal fault line: technology spend is a massive capital allocation without an auditable link to revenue. Atlas and Aether close this gap. Our framework binds business strategy to technology capex through reproducible, audit-grade computation of cost, risk, and economic contribution.
The average enterprise operates ~1,300 applications and cloud services, yet formal governance typically covers fewer than 5% of them, leaving the majority of the estate unmanaged and unaudited.
90–95% of AI pilots and ~70% of digital transformation programs fail to reach production due to unknown dependencies, incorrect workflows, or insufficient underlying capacity.
Between 25–40% of total IT spend cannot be attributed to a specific business unit, product line, or revenue stream, preventing true margin and ROI analysis.
30–50% of SaaS licenses show no meaningful usage over a 90-day window, leaving the P&L burdened with persistent ghost costs.
Most enterprise technology tools were not designed to make financial impact explicit. They manage systems, monitor activity, or optimize isolated metrics, but they do not compute how technology behavior translates into cost, risk, or economic contribution across interconnected environments. Financial exposure remains fragmented, inferred indirectly, or opaque to decision-makers, even as technology becomes one of the largest drivers of capital allocation and enterprise value.
Revenue and risk cannot be traced to technology execution. Technology spend lacks verifiable value attribution. Financial outcomes are disconnected from system behavior.
Enterprise technology tools were not designed to model financial exposure across dynamic, interconnected systems. Each category solves a narrow problem in isolation, and in doing so, introduces its own form of opacity.
Cost and FinOps platforms allocate spend, but cannot trace it through execution paths or outcomes. Architecture diagrams describe intent, not reality.
As environments scale and interconnect, these gaps compound. What is known becomes partial. What matters becomes indirect. And what remains unknown carries real financial consequence.
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Financial Exposure
Atlas forensically interrogates the enterprise technology stack, decomposing bundled licenses and consumption-based services into unit-level cost, dependency, and risk.
Verdict: Technology spend becomes a computable, auditable capital asset.
Technical Debt
Atlas exposes technology drift and vendor lock-in across hybrid environments, collapsing the gap between reported budgets and realized technical debt.
Verdict: Cost and risk are rendered definitive and reviewable, grounded in observed execution.
Pricing scales with the number of business units or P&L centers in scope. Engagements are defined around your specific focus, whether a single division or a broader enterprise rollout.
Deployment is a fixed-cost engagement. Instrumentation and system binding are handled end to end, delivering an operational decision engine without hourly billing or scope drift.
Focused assessment for M&A and transformation initiatives. We surface technical debt, integration risk, and synergy constraints early, reducing discovery risk and post-commitment surprises.