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 ![AI Gateway HQ](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_f4bdd7973af16b9f44d7afab5ef1f9ef/ai-gateway-hq.png "AI Gateway HQ")
](/products/ai-gateway-hq/reviews)

# AI Gateway HQ Discussions

AI Gateway HQ is an AI gateway and control plane for organizations that need to manage model access, spending, routing, and operating evidence in one place. Applications, coding agents, and internal tools send requests to the gateway instead of connecting directly to every model provider. Administrators can issue scoped workload keys, set monthly budgets, approve model routes, define fallback behavior, screen requests, and review what was allowed, blocked, routed, and spent. Provider credentials remain centrally managed instead of being copied into applications. Teams can bring supported provider API keys or use prepaid managed Amazon Bedrock capacity. Managed usage is card-gated and stops when purchased credit reaches zero. OpenAI-compatible and Anthropic-compatible request paths reduce client changes, while explicit routes and compatibility checks prevent an unsafe fallback from silently changing a workload’s expected behavior. Consumer ChatGPT, Claude, Gemini, Copilot, Cursor, and Windsurf subscriptions are not presented as interchangeable API credentials. Finance and operating teams can examine cost by company, workload, principal, route, and provider. Private equity users can review company-approved evidence across portfolio companies, schedule executive summaries, and connect AI operating measures to separately attested KPIs and OKRs. The product does not claim that gateway activity alone proves financial causation or constitutes an independent accounting opinion. AI Gateway HQ is designed for self-service adoption: a no-cost Test Lab demonstrates policies and routing without calling a paid model, guided onboarding establishes a conservative first boundary, and one-time workload credentials keep provider secrets out of downstream tools. Audit views preserve reason-coded policy, budget, route, provider-attempt, latency, and cost evidence within the documented retention boundary. Use AI Gateway HQ when the goal is not merely to proxy model traffic, but to control AI spend before it happens, keep access attributable, maintain safe provider fallbacks, and give technical, finance, and portfolio leaders a shared operating view.

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