Support automation
Govern AI support agents that update tickets, send replies, escalate cases, or trigger refunds.
Example actions
- ticket.update
- email.send
- refund.create
AI Agent Governance
Govern AI agents before they
touch production systems.
Koladr gives teams approval workflows, policy enforcement, audit trails, connector controls, and incident visibility for AI agents that take real business actions.
14-day free trial. Credit card required. Cancel before the trial ends to avoid charges.
The production gap
AI agents are moving faster than governance infrastructure.
Teams are starting to let AI agents call tools, update records, send messages, create tickets, issue refunds, and trigger workflows. But most agent stacks still lack the operational controls needed for production.
Without a control layer, teams are left asking:
- — What did the agent actually do?
- — Which tools and records did it touch?
- — Which actions should have required approval?
- — Who approved or rejected a risky action?
- — Can we reconstruct the run after something goes wrong?
- — Can we stop unsafe actions before they execute?
Koladr gives teams the missing control room between AI agents and the systems they operate.
The control layer
A governance layer for agents
that take action.
Koladr sits between your AI agents and the business systems they touch. Your agents can still move quickly, but high-risk actions are inspected, governed, approved, logged, and replayable.
Observe every run
Track agent runs, tool calls, context retrieval, action requests, policy decisions, approvals, and execution outcomes in one operational timeline.
Intercept risky actions
Route sensitive actions through Koladr before they execute, including refunds, outbound emails, CRM updates, ticket changes, and workflow triggers.
Enforce policies
Define rules for when actions should be allowed, blocked, approved, or flagged for review.
Require human approval
Pause high-risk actions and send them to the right human reviewer before anything reaches a customer or production system.
Preserve audit trails
Keep a structured record of what happened, when it happened, what policy matched, and who approved the action.
Investigate incidents
Use timelines and linked runs to reconstruct behavior when something fails, gets blocked, or needs review.
How it works
Govern actions without slowing down safe automation.
- 01
Agent attempts an action
Your agent requests a real operation, such as sending an email, issuing a refund, updating a CRM record, or changing a support ticket.
- 02
Koladr evaluates policy
Koladr inspects the action type, payload, context, connector, and tenant-defined rules before execution.
- 03
Risky actions pause for approval
If a policy requires human review, Koladr creates an approval request with the action details, evidence, and reason.
- 04
Approved actions execute through governed connectors
Allowed or approved actions execute server-side through controlled connectors, with the full result logged.
- 05
Every step becomes replayable
The full run timeline remains available for audit, debugging, incident response, and operational review.
Use cases
Built for agents that touch real business workflows.
Revenue operations
Control agents that update CRM records, create notes, change lifecycle stages, or trigger sales workflows.
Example actions
- crm.update_record
- contact.update
- deal.update
Finance operations
Review sensitive agent actions around refunds, billing exceptions, vendor workflows, and payment-related tasks.
Example actions
- refund.create
- invoice.flag
- customer.update
Internal automation
Give internal AI workflows a policy and approval layer before they mutate systems, send notifications, or trigger downstream processes.
Example actions
- workflow.trigger
- record.update
- message.send
Capabilities
Everything teams need to govern AI agents in production.
Agent Activity Ledger
Capture every agent run, event, action request, policy decision, approval, and execution result in a structured timeline.
Policy Engine
Define rules for when actions should be allowed, blocked, approved, or allowed with alerting.
Approval Workflows
Send high-risk actions to the right reviewer with the context needed to make a confident decision.
Connector Gateway
Execute actions through governed server-side connectors instead of letting agents directly access sensitive systems.
Incident Console
Track blocked actions, failed runs, suspicious behavior, and operational issues from one place.
Session Replay
Reconstruct what happened during a run so your team can debug, audit, and improve agent behavior.
Before Koladr
Most teams ship agents with visibility gaps.
- Agents call tools directly
- Risky actions execute without review
- Approval logic is scattered across code
- Run history is incomplete or hard to reconstruct
- Incidents require manual log digging
- Security and ops teams lack a clear control surface
After Koladr
Agents move through a governed control layer.
- Actions pass through policies before execution
- High-risk actions pause for approval
- Every run has a clear audit trail
- Connectors execute actions server-side
- Incidents link back to the exact run and event sequence
- Teams can scale AI automation with more confidence
Designed for control
Keep agents useful without giving up oversight.
Koladr is built for teams that want AI agents in production, but cannot afford blind execution. Instead of letting agents directly mutate business systems, Koladr provides a governed path for action, approval, execution, and review.
- Tenant-scoped workspaces
- Role-based access controls
- Admin-controlled connector setup
- Server-side action execution
- Approval history
- Run and event audit trails
- Billing and workspace controls
Koladr does not replace your agent framework. It gives your existing agents an operational control layer.
Works with your stack
Add governance without rebuilding your agents.
Koladr is designed to work with agents and workflows you are already building. Use the SDK to log runs and route sensitive actions through Koladr's policy and approval layer.
Start with one workflow, one agent, and a small set of policies. Expand once your team sees where approvals, audit trails, and incident visibility matter most.
Supported governed action surfaces
Gmail
Outbound email actions
Stripe
Refunds and payment-related actions
HubSpot
CRM record updates
Zendesk
Support ticket workflows
Example
A support agent tries to issue a refund.
- Step 01
Ticket triggers the agent
A customer reports a damaged item. The support agent retrieves the ticket and order context.
- Step 02refund.create
Agent requests refund.create
The agent proposes a $125 refund through the Stripe connector.
- Step 03Policy: refund_threshold
Policy matches
Koladr detects that refunds over $50 require human approval.
- Step 04Pending review
Approval request is created
A support manager sees the proposed refund, supporting evidence, and policy reason.
- Step 05Approved · Stripe
Manager approves
Koladr executes the refund through the governed connector.
- Step 06
Audit trail is preserved
The full run, policy decision, approval, and execution result remain available for review.
Start with a trial
Try Koladr before putting agents fully in production.
Start a 14-day free trial with full core access. Connect your first agent, test policies, review approval workflows, and see how Koladr fits your production rollout.
14-Day Free Trial
Trial includes
- 1 workspace
- 5 users
- 2 agents
- Full core features
- Limited support
Start 14-Day Free TrialTalk to Sales
Credit card required. Unless canceled before the trial ends, your subscription automatically starts on Growth at $195/month.
Need help going live?
Add guided setup for your first governed workflow.
If your team wants help wiring Koladr into your first agent workflow, request guided setup. We can help with workspace configuration, connector setup, first policy rules, approval design, and go-live readiness.
Request Guided Setup- 01Workspace setup guidance
- 02First agent integration support
- 03Connector setup assistance
- 04Policy configuration
- 05Approval workflow mapping
- 06Launch readiness review
FAQ
Common questions from teams shipping agents.
Is Koladr an AI agent builder?
No. Koladr does not replace your agent framework. It gives your existing agents a governance and operations layer for real actions.
What kinds of actions can Koladr govern?
Koladr is designed for actions like sending emails, issuing refunds, updating CRM records, changing tickets, triggering workflows, or calling internal APIs.
Do agents have to execute actions through Koladr?
For governed actions, yes. The safest pattern is for agents to request sensitive actions through Koladr so policies and approvals can run before execution.
Can we start with only one workflow?
Yes. The best first deployment is usually one high-value workflow, one agent, and a few clear policies.
Who should use Koladr?
Koladr is built for engineering, AI, operations, support, revenue operations, security, and compliance teams deploying agents into production workflows.
What happens after the free trial?
Unless canceled before the trial ends, the trial converts to the Growth plan at $195/month.
Give your AI agents a control room
before production.
Start with one governed workflow. Add approvals, policies, audit trails, and incident visibility before agents take real business actions.
14-day free trial · Cancel anytime before the trial ends