Haluvance keeps AI agents inside clear boundaries. Every sensitive action is checked against a human-approved agreement before it happens, decided by a fixed rule, not guessed by AI, with proof kept of every decision and a person signing off on the actions that matter most.
The same four checks run on every sensitive action an AI agent tries to take, whatever the task.
- AI agent
- Finance Assistant
- Task
- Handle invoice exceptions
- Allowed
- Raise an internal ticket
- Not allowed
- Send money to an outside account
- Approved by
- Compliance Manager
- AI agent
- Finance Assistant
- Task
- Handle invoice exceptions
- Allowed
- Raise an internal ticket
- Not allowed
- Send money to an outside account
- Approved by
- Compliance Manager
Tier 1
Read and generate
Low-risk actions, reading records, drafting a recommendation. Classified and logged, no gateway needed.
Tier 2
Internal writes
Writing to an internal system, like raising a ticket. Must pass the gateway and be permitted by the contract.
Tier 3
External writes
Writing to an external or official record. Gateway enforcement plus human sign-off.
Tier 4
Regulated actions
The highest-risk actions, like approving a waiver or initiating a payment. Both a signed contract approval and a runtime human approval are required.
Risk and required checks increase left to right
Rule
Agents can’t self-classify
The risk tier is set by the platform, not the agent, a sensitive action can never be disguised as a harmless one.
Rule
Fail-closed
If an action can’t be proven safe, it is blocked. Ambiguity always resolves to deny.
AI platforms provide execution, retrieval, and observability. Almost none provide enforcement: a hard boundary that decides whether an agent is even allowed to act, before the action happens, and proves it.
Without that boundary, regulated enterprises either ban AI from material work or accept silent risk. Haluvance is built to remove that choice.
- Intercept
- The gateway catches the action before any tool is called, the agent has no other path.
- Classify
- The action’s risk tier and type are resolved from the platform catalog, not the agent.
- Decide
- The decision engine checks the action against the signed contract and returns allow, deny, or needs-approval.
- Record then act
- The decision is written to the ledger first; only then is the tool called, using gateway-held credentials.
- Prove
- Every outcome, permit or deny, leaves tamper-proof evidence an auditor can verify.
These hold on every action, in every workflow, with no exceptions.
A person always has the final say
When an action needs human sign-off, that approval is real, recorded, and required — never quietly skipped or worked around. No action of that kind can go through on its own.
When in doubt, the answer is no
If Haluvance can’t be sure an action is safe — because something is unclear, unverified, or not working as expected — it blocks the action instead of guessing. Nothing risky is ever waved through by default.
For Operations
Agents can only ever do what they are explicitly allowed to do, no silent, out-of-scope actions.
For Compliance
Proof, for every action, of what was attempted, whether it was allowed, and what happened.
For Engineering
A clean separation: policy lives in contracts, enforcement in the gateway. Policy changes don’t touch the enforcement code.
For the CIO
A platform-level answer to the question every regulator asks: how do you control what your AI is allowed to do?