Unseen AI spend: real-time editor warning & team-level cost governance

Many engineering teams, platform leads, and FinOps practitioners are regularly blindsided by unpredictable token-priced AI charges: per-request costs can vary by model, prompt, and sampling settings, and most organizations only discover problems when invoices arrive. This affects an estimated 5 million software teams and can produce surprising monthly bills that are hard to trace to developer actions or specific features. You could build a developer-facing, real-time editor plugin plus team-level governance layer that warns developers about projected per-request and monthly costs as they compose prompts, suggests cheaper model/settings, enforces team quotas, and ties those in-editor signals to centralized billing and contract data. Ship lightweight SDKs and integrations for VS Code and JetBrains, an enforcement proxy for runtime controls, and a dashboard that converts in-editor events into team ACV forecasts and alerts. The market is timely: token-priced AI and growing IDE extensibility create immediate demand for in-context cost visibility, and developer-first FinOps is an emerging buyer preference; the rough TAM is $10.0B (5M teams x $2,000 ACV), Market Score 88/100 and Revenue Potential 90/100 indicate strong commercial opportunity against medium competition. To stand out you must be relentlessly developer-centric—real-time, low-latency editor warnings that are accurate, nonintrusive, and actionable—while coupling that experience to enforceable runtime controls and multi-vendor billing reconciliation. Honest challenges include instrumenting opaque third-party LLM providers, IDE ecosystem fragmentation, enterprise security/compliance, and proving measurable ROI to justify team-level ACVs, but a focused product built for developer workflows can reasonably carve out a defensible position.