Put AI actionsunder control before production.
Palaas adds policy checks, approval workflows, and audit trails between AI systems and the live customer, CRM, and operations workflows your team cannot afford to leave unmanaged.
Production workflow
The exact moment enterprises need control
Incoming action
Support agent requests customer data export
Sensitive customer records touched. Review policy triggered before execution.
Policy decision
Risk score
84
Flagged before reaching a live customer data system.
Approval route
Audit outcome
Action received, policy matched, reviewer approved, and logged for replay.
Agents do not fail because enterprises hate AI. They fail because production risk is unmanaged.
Blocker
No control before execution
Agents can propose actions, but most teams still lack a layer that can stop, review, or route them before they hit production.
Blocker
No operational approval path
Security, finance, and operations need structured approval flows, not vague alerts after a risky action is already underway.
Blocker
No evidence for trust
Without policy history, replayable events, and audit-ready logs, enterprises cannot approve production deployment with confidence.
One risky action. One policy decision. One clear approval path.
See how policy, approvals, and auditability work together before a risky action reaches a live production system.
Scenario
A support workflow requests a sensitive customer data export. Palaas pauses execution, matches policy, routes reviewers, and records the decision path.
Example: customer data export request
A sensitive customer export is requested by a live workflow.
1. Action received
Support workflow requests data export
2. Policy matched
Data review policy pauses execution
3. Reviewer routed
Security and compliance are notified
4. Audit logged
Every decision is recorded for replay
Built for enterprises that need control before AI reaches live systems.
Enterprise fit
Built for teams running support, operations, CRM, and sensitive data workflows where approvals and audit trails matter.
Controlled execution
Review happens before execution so high-risk actions do not reach live systems unmanaged.
Cross-team visibility
Security, operations, and compliance can review the same action history in one place.
The operational controls missing between an agent decision and a production action.
Action ingestion
Every live agent request enters one control layer before it touches a production system.
Policy enforcement
Block, allow, or require review based on system, threshold, data sensitivity, or workflow.
Approval routing
Send risky actions to the exact reviewer chain with the context needed to decide quickly.
Audit and replay
Replay what happened, why it happened, and who approved it in one operational record.
It sits between agent output and the systems your enterprise cannot afford to expose blindly.
Palaas adds policy, approvals, and auditability between AI-driven actions and the systems where production mistakes become expensive.
Placement
Put Palaas in front of the systems where agent mistakes become expensive: exports, record updates, customer operations, CRM changes, and other live workflows.
Operational workflow agents
Customer data and internal systems
Customer support workflows
CRM and operations tools
Custom APIs and orchestration layers
Human approval in Slack or dedicated review queues
Built for the teams responsible for production readiness, operational risk, and deployment control.
AI platform teams
Use Palaas to put guardrails, approvals, and replay around the agents your teams are already shipping.
Security and governance
Review what actions are proposed, what policy matched, and what evidence exists before production risk is accepted.
Operations leaders
See what is waiting, what is blocked, what is approved, and what already ran without chasing logs across systems.
This only works if security, operations, and compliance can all say yes.
Palaas gives enterprise teams the evidence, review paths, and controls needed to approve production deployment with confidence.
Trust story
Enterprise trust is not created by monitoring alone. It comes from knowing what action was proposed, which policy applied, who reviewed it, what happened next, and whether that decision can be replayed later.
Role-based access and reviewer ownership
Environment-aware controls for dev, staging, and production
Policy history and governance logs
Structured audit exports for security and compliance review
Risk scoring before execution
Evidence for security and compliance teams
One-off approval logic is easy to start and hard to scale across production systems.
Why teams start with custom controls
It sounds simple to add one approval step around an agent. In reality, that becomes policy logic, reviewer routing, audit history, environment controls, and operational ownership.
Why that breaks down fast
Each new workflow creates another custom rule set, another review path, and another audit trail your team has to maintain manually.
Why Palaas exists
Palaas centralizes those controls so teams can govern many production actions from one system instead of rebuilding safety logic inside every workflow.
Rollout options designed for controlled enterprise adoption.
Start with one controlled workflow, establish review and policy guardrails, and expand into broader production coverage over time.
Pilot
CustomFor qualified teams bringing their first production workflows under control.
Structured onboarding for one initial workflow or use case
Core policy setup, approval routing, and audit visibility
Manual rollout support while controls are established
Growth
CustomFor teams expanding governance across multiple agents, systems, or business units.
Broader workflow coverage and deeper reviewer routing
Operational dashboards, policy refinement, and risk visibility
Rollout support for teams moving from pilot into active production
Enterprise
CustomFor regulated or high-volume environments that need formal control layers.
SSO, RBAC, environment-aware controls, and audit exports
Custom policy models and approval ownership by team or function
Deployment planning aligned to security, compliance, and operations
How pricing is handled
Palaas pricing is based on workflow scope, environments, reviewer complexity, and rollout depth so teams can match the platform to real deployment needs.
Final promise
Bring your first production agent under control.
If the blocker is governance, approvals, auditability, or operational oversight, this is the layer your enterprise stack is missing.
Join waitlistA dashboard your team can understand in seconds.
See what is waiting, what is risky, who needs to review, and what has already been logged in one operational view.
Palaas Dashboard
A simple view of agent activity, approvals, and production risk.
Active systems
24
Connected and reporting
Pending reviews
03
Waiting for approval
Logged today
128
Actions already recorded
Needs attention
Live queue
Support workflow
Customer data export paused for approval
Support workflow
Customer export blocked by policy
Operations agent
System change approved and ready to execute
Risk at a glance
84
Highest-priority event waiting for compliance approval before execution.
Approval path
Audit trail