Hardened governance for the generative stack
Spendplane provides the routing and security layer required to scale AI across the enterprise. Mediate every request with one control plane that enforces policy, optimizes latency, and keeps data movement inside approved boundaries.
Policy-first
Requests checked before routing
Audit-ready
Usage tied to workspace and environment
Region-aware
Approved provider paths only
Hybrid
Mix local runners and cloud providers
Example routing trace
Proxy activeArchitecture View
Unified AI gateway architecture
Decouple application logic from a shifting model landscape. Spendplane consolidates provider access into one resilient ingress layer for policy enforcement, failover, validation, and region-aware routing.
One gateway becomes the control boundary for every provider call. Instead of scattering model access across teams and services, platform and security teams get a stable place to enforce routing, inspection, and audit requirements.
Spendplane Framework
Policy Layer
Request inspection before provider routing
Apply deterministic redaction, pattern checks, and workspace policy rules before requests leave your controlled path.
Bring your own providers and keys
Use your existing provider accounts while keeping routing policy, access controls, and usage visibility in one place.
Region-aware routing controls
Restrict which providers and regions can handle a workload, and keep sensitive paths narrow and explicit.
Local and dedicated execution lanes
Route selected workloads to local runners, private infrastructure, or dedicated capacity when privacy, cost, or latency requires it.
Provider boundary
inbound
Apps, support tools, and internal workflows send requests to one reviewed path.
review
Requests are inspected, narrowed, and routed according to approved policy.
approved execution
Only the allowed provider, region, and workload lane receives the request.
Policy editor
Governance runtime
Workspace spend controls
Set budgets, routing preferences, and environment-specific limits before requests run.
Audit trail and attribution
Track which workspace, environment, model path, and key generated usage and spend.
Policy-based fallback
Control when traffic can fall back to local, cloud, or premium providers without changing app code.
Shared operating model
Give engineering and platform teams one surface for usage review, alerting, and routing policy.
Operational clarity
Granular traffic orchestration
Move beyond coarse access control to identity-aware request handling. Define redaction, rate limiting, routing, and review behavior at the organization, team, or application level without changing product code.
Enterprise pages should show the control surfaces buyers expect to exist. The page does not need more boxes; it needs a more believable picture of how policy, audit, routing, and spend are actually operated together.
Who This Supports
Enterprise solutions for every team
This section works better as a sequence of operational scenarios than as another card grid. Each row points to a different buyer motion and a deeper next step.
Platform and infrastructure teams
Problem
AI usage is spread across products, keys, and providers with no shared controls.
Spendplane response
Use one proxy layer for routing policy, cost attribution, and environment-aware governance.
Security-conscious product teams
Problem
Sensitive prompts need inspection and a narrower path than direct provider access.
Spendplane response
Apply request scanning and redaction before approved traffic continues to a selected provider.
Regulated and privacy-heavy workflows
Problem
Some workloads need local execution or stricter control over where they run.
Spendplane response
Keep higher-sensitivity traffic on local or dedicated lanes while the rest follows approved cloud routes.
Agencies and delivery teams
Problem
Multiple client environments create fragmented keys, billing, and audit history.
Spendplane response
Centralize team usage, environment controls, and routing policy while preserving project separation.
Enterprise Readiness
Infrastructure-grade resilience
Deploy Spendplane as a managed control plane or within your own boundary when data residency, auditability, and operational continuity are non-negotiable.
Programmable Guardrails
Inspect, intercept, and govern payloads in real time with policy modules built for higher-control environments.
Cost & Quota Management
Centralize chargebacks, quota controls, and model fallback rules before spend drifts across business units.
Privacy & Compliance Vault
Detect and mask sensitive data patterns before they leave your infrastructure or cross the wrong provider boundary.
Workspace-scoped API keys and environment separation
Request logging and exportable audit history
Region-aware routing rules and provider controls
Local runner and private deployment support
Role-based workspace permissions
Budget alerts and usage visibility
Security review and deployment planning with the Spendplane team
Custom rollout guidance for higher-control environments