Add human approval before Agentforce makes a live business change.
Agentforce can propose useful Salesforce actions quickly. The enterprise problem starts when those actions become production writes without a review surface. ActionPlane adds preview, policy, approvals, and audit around Agentforce-driven mutations so teams can trust the outcome, not just the prompt.
Where ActionPlane fits
ActionPlane sits between the agent runtime and the system of record. If Agentforce or any other agent wants to write to Salesforce, ActionPlane becomes the governed layer that decides whether that write can proceed, needs approval, or should be blocked.
What a serious Agentforce approval workflow needs
A useful approval flow is not just a button. Approvers need the exact planned action, the policy reason, and enough evidence to make a fast decision.
Exact action preview
Approvers need to see object type, field-level changes, actor, confidence, and supporting context before they can sign off on a live write.
Object and record identifiers
Before-and-after field values
Run context and evidence
Connector-aware policy
Approval is not a generic checkbox. Policy should reflect whether the agent is touching an opportunity, account owner, support ticket, or another live record.
Field sensitivity
Workflow confidence thresholds
Tenant-specific controls
Human takeover and recovery
When an action is wrong or incomplete, the operator needs a path to stop it, branch it, or compensate for it without losing traceability.
Reject and route back
Branch and retry
Compensation-ready evidence
How to keep Agentforce inside a governed execution model
The critical move is to intercept the intended action before the business system changes, then keep the final evidence attached to the same run.
Agentforce proposes a business action
The agent reaches the point where it wants to mutate Salesforce or another system of record.
ActionPlane builds the operator-facing plan
The planned mutation is converted into a reviewable artifact with field-level detail and policy context.
Policy classifies the action
The run is evaluated against connector-aware rules so the platform can distinguish safe, risky, and disallowed changes.
Approval or auto-run happens on the governed path
If approval is required, the operator sees the exact planned change. If not, the action proceeds without losing traceability.
Console and audit close the loop
Execution results, artifacts, and replay data stay attached to the same run so operations and governance use one source of truth.
Why custom approval code is not enough
Teams can build ad hoc approval checks inside agent logic, but that usually fragments trust, operations, and audit across too many places.
Why not put approval logic in the agent itself?
Because trust surfaces spread across prompts, tools, and handwritten workflow code quickly become hard to operate and even harder to audit.
Approval rules drift from connector behavior
Operators lose a consistent review surface
Audit evidence fragments across systems
Why not approve everything?
Because blanket approval turns automation into slow manual triage. The useful product shape is selective approval on top of preview and policy.
Auto-run low-risk actions
Escalate high-risk actions
Block disallowed actions entirely
Why this matters in production
Once stakeholders can trust the write path, the same agent can be allowed to do more valuable work in production systems.
Higher automation confidence
Cleaner path to production for enterprise teams
Less resistance from security and platform teams
Questions teams ask before they trust AI writes.
Does this require replacing Agentforce?
No. ActionPlane is designed to sit around the write path so the agent can keep doing planning and reasoning while ActionPlane governs execution.
Can one approver screen approve multiple action types?
Yes, but the better model is usually policy-driven routing by connector, object family, or risk level so approvals stay fast and relevant.
Can this work for agents other than Agentforce?
Yes. The same pattern applies to any agent that can propose a live business-system mutation.
What should the first use case be?
Start with a narrow, high-value Salesforce workflow where the diff is visually obvious and the approval story is easy to explain, such as Opportunity updates limited to StageName, CloseDate, Amount, and NextStep.
Related guides
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