Customer-record changes
An agent proposes to update a customer record; David Gate checks the change against policy before it is written.
Your agents can act. Who decides what they may do?
David Gate evaluates requested actions before execution, routes consequential changes to the right human, and records the decision and result — so agents can work without unchecked authority.
Governance at the point of action, not just an audit log after the fact.
At 17:42, a request for proposal lands on the desk. The deadline is tomorrow morning. The team knows the work, but the answer is scattered across systems, documents, and people already carrying too much. While they search and wait for approval, someone else is already sending a proposal because their work moves faster. AI could change that, but if it sends a promise you cannot keep, the AI will not explain it. You will. There is another way. Let the agent prepare the work. Let policy decide what is safe. Let the right person authorize what matters. It checks the delivery plan and finds the risk before the promise is sent. Your team decides. The proposal moves. Move faster without giving up control, and stand behind every promise you make. Bring us one workflow. Become a pilot partner.
An assistant that drafts is safe. An agent that acts is a different risk.
An assistant can draft a message. An agent can send it, change a record, or trigger a workflow. That is where ordinary prompt controls stop being enough — and where most teams either block agents from acting at all, or let them act with no consistent check. David Gate gives every consequential action one governed path: evaluated against policy, routed to the right approver when it matters, and recorded for later proof.
Request
An agent proposes a business action, not just a suggestion.
Policy
The request is evaluated against policy before anything happens.
Approval
A named human reviews the exact change before it becomes real.
Execution
Only the authorized action runs — nothing more, nothing silent.
Evidence
Who requested it, what was approved, and what actually ran stay reviewable.
How David Gate works
Request
An agent proposes to do something real: change a record, send a message, trigger a workflow — not just answer a question.
Evaluate
David Gate evaluates the request against the applicable policy: permitted, needs a human, or forbidden.
Authorize
A permitted action proceeds. A consequential one waits for the right person to review the exact proposed change and approve it.
Execute
The authorized action runs through the connected tool — nothing more than what was approved.
Prove
The decision, the approver, and the actual outcome stay reviewable, so you can answer for what happened.
David Gate cannot approve its own request, and cannot silently expand what an agent is authorized to do.
Most tools log what happened. David Gate decides what may happen.
Logging
Log what the agent did
Chat safety
Add guardrails to the chat
Approval
Approve the agent in general
Coverage
Cover one model or one chat UI
Audit
Provide an audit trail after the fact
Speed
Slow every action down for review
An execution boundary that decides — not an audit log that only remembers
Evaluates every tool request against policy
Routes consequential changes to the right approver
Works across tools, connectors and models
Distinguishes permitted work from work that needs review
Keeps a reviewable record of what was requested, approved and executed
Where teams use it
Outbound messages
An agent proposes to send an email or notification on the business's behalf; the exact text and recipient are reviewed first.
Workflow triggers
An agent proposes to start a multi-step workflow, such as a refund or a provisioning process; the scope of what it may trigger is explicit.
Sensitive data access
An agent proposes to read or export data through a connector; access is checked against the same policy as any other action.
Multi-step agent plans
An agent proposes a bounded sequence across several tools; the plan and the exact steps it is authorized to run are kept explicit and separate.
Don't wait for an agent to overstep before you find out the control wasn't there.
Bring one agent workflow. See the policy. Approve the exact change. Prove what ran.