Accepting design partners
Governed execution layer for AI agents
Turn unpredictable AI into controlled business actions. Block risky API calls before execution, require approval for elevated risk, cap LLM costs, and keep event-sourced audit logs.
Refund invoice #INV-4821 - $12,450
Finance approval required above $5,000
Paused - Awaiting human approval
Illustrative example
Measurable business value
Move AI from prototype to production without budget surprises, costly mistakes, or months of integration glue code.
Do not flood the model with your full API catalog
PlanVault™ shortlists only the relevant tools before each planner call, sharply reducing context size, LLM cost, and latency. API credentials never enter the model context — ever.
“Process refund for invoice #INV-4821”
billing.getInvoice
billing.processRefund
audit.logDecision
notify.sendEmail
~98%
Token/context reduction0
Secrets in LLM contextIllustrative example
Stop runaway AI spend before it burns the budget
Set hard token and spend limits at org/project level. Budget caps reject requests before they exceed thresholds.
$495 / $500
refund-flow-#8821
$12.40
invoice-scan-batch
$48.80
agent-retry-loop
$434.00
Illustrative example
High-risk API calls require explicit human sign-off
Define which API calls require a human decision. PlanVault™ intercepts them before execution and routes them to your team — the model cannot skip the gate.
billing.processRefund
amount
$12,450.00
invoice_id
INV-4821
requested_by
AI Agent
Reject
Approve Execution
Illustrative example
Connect existing APIs without rebuilding auth, retries, and approvals
Import an OpenAPI spec, connect an MCP server, or register a webhook endpoint. Auth, retries, secrets, approval gates, and audit logging are handled automatically — no bespoke integration layer needed.
billing-svc.yaml
customer-database
slack-alerts
Illustrative example
AI plans freely. PlanVault™ executes safely.
Your existing AI stack keeps planning — LangChain, LangGraph, OpenAI Agents, MCP, or custom code. PlanVault™ takes over at the API boundary: it selects tools, evaluates resolved tool-call parameters against runtime policies, hard-denies unsafe calls before execution, routes elevated-risk calls to human reviewers, injects secrets at runtime, and records everything.
LangChain · LangGraph · OpenAI Agents · MCP
Tool selection & routing
Budget caps & spend limits
Runtime policy gates & approvals
Secret injection at runtime
Full audit trail & replay
REST/OpenAPI · MCP servers · Webhooks
Security and operational control stay outside the model
Teams get automation speed without giving the model direct control over critical actions.
VPC-ready
Deploy in controlled environments and keep workflow execution close to enterprise systems.
Runtime policy & HITL approvals
Unsafe calls are hard-denied based on evaluated runtime parameters. Elevated-risk calls pause for explicit human approval before production systems are changed.
Data boundary
Keep secrets and sensitive payloads out of prompts by default.
Audit and replay
Record what was planned, approved, executed, and recovered for operational review.
Connect AI to production APIs without losing control.
Securely connect AI to your production APIs. PlanVault™ controls side effects, enforces human approvals, and tracks every cent.