01
Enterprise Agents
Control agent actions across support, sales, HR, procurement, legal, and internal knowledge workflows.
- Review actions before execution
- Protect private company data
- Escalate sensitive decisions
Safety infrastructure for every domain where AI acts.
Control autonomous AI actions across software, enterprise, finance, healthcare, science, robotics, security, and critical operations.
The domain changes. The safety question stays the same: should this AI system be allowed to take this action, in this context, with this data, using this tool, for this user?
One runtime safety layer across domains
Different domains create different risks. LatentOps gives teams one control layer for reviewing and governing AI actions before they affect real workflows.
02
Software and Infrastructure
Govern agents that touch repositories, terminals, cloud systems, databases, CI/CD, and production workflows.
- Block destructive commands
- Review code and config edits
- Escalate production changes
03
Finance and Compliance
Apply approvals, policy checks, and evidence trails before agents affect financial workflows.
- Review high-impact actions
- Enforce approval policies
- Track compliance evidence
04
Healthcare Operations
Control sensitive data access, documentation changes, scheduling workflows, and administrative actions.
- Protect sensitive records
- Control workflow updates
- Escalate sensitive operations
05
Scientific Discovery
Monitor research agents that search literature, plan experiments, operate tools, and manage datasets.
- Track research actions
- Control tools and datasets
- Preserve provenance
06
Robotics and Embodied AI
Add runtime controls for embodied systems where physical-world actions need stronger oversight.
- Review physical actions
- Require human approval
- Connect simulation and deployment
07
Security and Critical Operations
Prevent autonomous security and operations agents from creating new risk in sensitive systems.
- Control privileged actions
- Detect unsafe sequences
- Create incident evidence
What the layer controls
LatentOps sits at the point where agents move from intent to action. It checks the proposed operation, applies policy, and records the evidence needed to operate safely.
Action review
Evaluate the proposed tool call, target resource, arguments, user goal, and execution context before anything runs.
Policy enforcement
Apply domain-specific rules for privacy, production access, financial impact, destructive operations, and external transfer.
Human escalation
Route sensitive or ambiguous decisions to the right approval path instead of letting the agent continue silently.
Evidence capture
Record the decision, policy basis, context, reviewer, and outcome so production teams can audit autonomous behavior.
Start with one workflow. Scale across domains.
Begin with a high-impact agent action, then expand the same runtime control model across tools, data, approvals, and audit trails.