Everyone builds guardrails. Nobody checks if they held.
Guardrails filter before action. BOUNDA proves after the decision — against tool calls, memory writes, token burn, webhooks, DB mutations and provider reality.
Agent adoption
Enterprises are moving from prototypes to agents that can call tools, write memory and trigger workflows.
AI Act enforcement
Audit, board and regulator review need evidence, not just policy text.
MCP & tool sprawl
More connected tools means more downstream consequences to verify.
Not a guardrail. The evidence layer after the guardrail.
| What you may have | What it does | What BOUNDA adds |
|---|---|---|
| Guardrails | Filter before | Prove after, against provider reality |
| Observability / tracing | Show execution | Certify absence of consequence |
| AI governance docs | Describe rules | Transform rules into event-level evidence |
| SIEM | Collect events | Reconcile decision with downstream truth |
Critical NO
agent_rejected
tool_denied
MCP_call_blocked
workflow_cancelled
permission_revoked
What can still be born
tool_call
token_burn
memory_write
external_api_call
db_mutation
webhook
workflow_descendant
cost
Receipts required
- MCP server logs
- tool provider logs
- LLM usage logs
- memory store diffs
- queue / webhook receipts
- DB mutation logs
- API billing exports
Evidence delivered
- NoToolCall Certificate
- Agent Consequence Unit Ledger
- Token Burn Report
- Memory Write Matrix
- Proof Sufficiency Matrix
- Evidence Pack
- Board Memo
Product path
Boundary Check → Agent Action Evidence Close → Monthly Agent Evidence Close → Active Gate
Performance lever
p99 <11µs decision path, 50.47M evaluations/s for gate readiness, 11.3M proof items/s for verify at scale.
Check this boundary.
Start read-only. One surface, one Evidence Pack, one decision meeting.
Start boundary check