Start with the issue
A new support request enters the workflow with the details the team already collects.
For AI consultancies and managed service providers
Build AI workflows your clients can run in their own environment.
Turn one repetitive process into a connected workflow, with a person reviewing important actions and deployment options for customer-controlled infrastructure.
Example workflow · validate integrations with each customer
Help an IT team handle incoming tickets with less manual sorting.
The agent prepares a recommendation. A person reviews it before a change is made.
Summarize and suggest
The workflow organizes the request and prepares a suggested category and next step.
Review before action
A team member can approve or reject a proposed tool action. The system records the run and decision.
This is a pilot starting point, not a customer case study. The local demo uses a sample model; live systems and credentials must be verified for each deployment.
Platform suite
The tools behind the workflow
Start with Agent Studio. Explore the other components when your project needs them.
GA
OpenController
Register external agents, review evaluation results, and apply the available governance checks. Framework execution coverage is limited.
EvaluationsGuardrails
Human-in-the-loopVersioningObservability
Explore OpenController
GA
Architect
Start from supported app templates, validate the scaffold, and register a flow into Agent Studio. It does not generate arbitrary full-stack applications.
TemplatesValidate
Self-healRegister to Studio
Explore Architect
GA
Agent Studio
The pro-code workbench for engineering teams. Design, test, and ship production agents from one place.
WorkflowsIntegrations
TestingDeployments
Explore Agent Studio
GA
Agent Blocks
HTTP APIs for memory, knowledge, tools, guardrails, and orchestration, with local SDKs available for supported projects.
MemoryKnowledge
ToolsGuardrailsOrchestrate
Explore Agent Blocks
Start with one workflow. Prove it with a client.
The first proposed pilot is support-ticket triage. Scope, integrations, and success measures are agreed before implementation.
Pilot example · IT operations
Support-ticket triage with human review
Prepare a ticket summary and suggested next step. Let a support lead approve any connected-system action.
View the proposed pilot →A pilot starts with a clear boundary.
Agree on the task, permissions, and proof of value before connecting a live workflow.
1. Map the task
Record the current steps, systems, exceptions, and time spent.
2. Set the boundary
Choose the data, model endpoint, permissions, and actions that need human approval.
3. Measure a result
Compare the pilot with the baseline using agreed measures such as handling time, correction rate, and safe handoff rate.
Choose where the workflow runs.
ReboundPad supports self-hosted operation. Model and connector traffic follows the endpoints you configure; validate the full path before using customer data.
Self-hosted runtimeRun the product in an environment you operate.
Human reviewPause configured destructive tool actions for approval.
Team permissionsRole-based access and workspace controls.
Audit recordsReview workflow runs and approval decisions.
Model endpointChoose a configured local or external provider.
Cloud verificationAWS Bedrock smoke-tested; validate other providers with credentials.
Connector verificationTest each vendor connection with customer credentials.
Deployment reviewConfirm install, backup, and recovery steps before production.
GDPR Designed for
SOC 2 Type II Roadmap
ISO 27001 Roadmap
HIPAA Designed for
CCPA Designed for
Roadmap / designed-for labels are intentional — not claimed certifications.
Plan a safe first workflow.
A practical guide for scoping an AI workflow pilot with a client.
Have a client workflow in mind?
Share the current process and systems. We’ll help scope a small, measurable pilot.