Deploy AI systemssafely in production.
Palaas gives enterprise teams the missing layer between agent output and live execution: policy enforcement, approvals, risk controls, and auditability for production AI.
Production workflow
The exact moment enterprises need control
Incoming action
Finance agent requests payout release
Treasury system touched. Approval threshold triggered before execution.
Policy decision
Risk score
84
Flagged before reaching a live finance 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 justify production deployment internally.
One finance action. One policy decision. One clear approval path.
The strongest homepage proof is not an abstract diagram. It is a realistic production event that shows exactly how trust is created before execution.
Scenario
Finance agent submits a payout request above the approval threshold. Palaas pauses execution, matches policy, routes reviewers, and records the decision path.
Example: finance agent payout request
A payout is requested above the approval threshold.
1. Action received
Finance agent sends payout request
2. Policy matched
Threshold rule pauses execution
3. Reviewer routed
Security and finance are notified
4. Audit logged
Every decision is recorded for replay
This should feel like the missing production layer, not another AI demo.
Design partner focus
Built for teams operationalizing finance, support, and internal workflow agents.
Production outcome
Fewer unmanaged actions reaching live systems because review happens before execution.
Internal trust
The control plane security, operations, and compliance can all review 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 is not the model, the framework, or the orchestration tool. It is the control plane that governs what happens when an agent wants to act in production.
Placement
Put Palaas in front of the systems where agent mistakes become expensive: payouts, exports, record updates, customer operations, and other live workflows.
Internal workflow agents
Finance and treasury systems
Customer support workflows
CRM and operations tools
Custom APIs and orchestration layers
Human approval in Slack or internal review queues
Different buyers, one shared blocker: no one wants unmanaged AI actions in production.
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 is not another agent builder. It is the layer that makes a production deployment governable enough for enterprise review.
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 internal review
Risk scoring before execution
Evidence for security and compliance teams
Most internal approval logic starts small and becomes a governance product anyway.
Why teams try to build this internally
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.
Engagement models built for staged enterprise rollout, not cash-grab pricing cards.
Enterprise buyers need to understand how Palaas is introduced, what level of support exists, and how rollout expands from one controlled use case into broader production coverage.
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 is priced around workflow scope, environments, reviewer complexity, and rollout depth. That keeps the conversation grounded in production needs instead of forcing enterprise teams into startup-style checkout tiers.
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.
The product view should feel operational, not intimidating: what is waiting, what is risky, who needs to review, and what has already been logged.
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
Finance agent
Payout release request paused for approval
Support workflow
Customer export blocked by policy
Operations agent
Change approved and ready to execute
Risk at a glance
84
Highest-priority event waiting for finance approval before execution.
Approval path
Audit trail