Human Approval Gates
Critical steps pause for review before work continues.
Enterprise Control Plane
The Enterprise Control Plane for Supervised Agentic Workforces
Deploy AI agents across your organization while keeping people in control of plans, permissions, approvals, and execution records.
InDaLoop helps teams coordinate supervised agentic work across departments. AI agents can research, execute, analyze, and document, while humans set direction, approve critical steps, and review the evidence. Operators can pause or disable agents from a phone, iPad, or tablet when work needs to stop.
Approval-gated work
The real Work view shows sensitive tasks paused until a human approves dispatch.
Visible Execution
Teams can see plans, progress, actions, and outcomes.
Permission Controls
AI agents operate with scoped access tied to the job.
Audit-Ready Records
Activity, approvals, and changes are retained for review.
Product videos
Customer-style stories for the agentic control-plane message.
Executive story
0:57
The 9-to-5, Redefined
Slack is the control plane for the executive agentic team.
Morning briefing, phone approvals, #ops handoffs, and a Miami boat-day workflow.
Platform story
0:60
Platform Engineering Handoff
GitHub issues, Slack handoffs, approvals, CI/CD, and logs move through one supervised workflow.
A real engineering flow showing issue intake, agent execution, QA handoff, deployment controls, and audit evidence.
How supervised agentic work works
Plan, approve, execute, and review from one operational surface.
1
Define the outcome
Describe the business result or operational task.
2
Generate the plan
AI agents break the request into steps, dependencies, and risks.
3
Review the controls
Humans inspect scope, permissions, and approval gates.
4
Execute with visibility
AI agents carry out approved work while status and activity stay visible.
5
Escalate critical steps
Sensitive actions stop for human review.
6
Record the outcome
Plans, approvals, activity, and results stay available for review.
Slack handoff thread
A real workflow thread shows implementation evidence moving into QA review.
Operational controls
Pause or disable agents from a phone, iPad, or tablet when work needs to stop.
Operational controls
Pause or disable agents from a phone, iPad, or tablet when work needs to stop.
Department packages
Department packages for the business teams that run the company.
Non-platform departments start with a specialist agent and a department head assistant agent. Platform engineering is the exception because delivery work needs dedicated QA coverage from day one.
Sales & Marketing
Department Specialist Agent + Department Head Assistant Agent
Sales and marketing operations can coordinate account research, campaign reporting, CRM hygiene, and follow-up workflows with humans approving customer-facing actions.
Human Resources
Department Specialist Agent + Department Head Assistant Agent
HR and onboarding operations can prepare onboarding paths, policy summaries, training checklists, and employee support workflows from approved internal material.
Customer Support / Operations
Department Specialist Agent + Department Head Assistant Agent
Customer support operations can assist triage, knowledge retrieval, escalation summaries, and support reporting while managers keep final control.
Company Library / Librarian
Librarian plus governed knowledge workflows
The Librarian keeps the Company Library organized so agents work from current policies, procedures, customer context, and reusable operating knowledge.
Platform Engineering exception
1 Platform Engineer Agent + 1 QA Engineer Agent
Platform engineering starts with 1 Platform Engineer Agent + 1 QA Engineer Agent. Expansion follows 1 QA Engineer Agent per 2 Platform Engineer Agents. At 3 Platform Engineer Agents, add a second QA Engineer Agent.
Product pillars
Built for supervision, coordination, and accountable execution.
Department packages
Non-platform departments start with a specialist agent and a department head assistant agent.
Connections
MCP support for enterprise cloud tools. Connect agents to GitHub, Microsoft 365, CRM, work management, knowledge, and files through governed access.
Governance and approvals
Set roles, permissions, escalation rules, model choices, and approval gates around sensitive work.
Agent logs, model, and cost controls
Track active work, handoffs, approvals, outcomes, model choices, LLM costs, and usage from a single control plane.
Enterprise cloud tools
Connect agents to GitHub, Microsoft 365, CRM, work management, knowledge, and file systems through governed tool access.
GitHub tool support
MCP support for enterprise cloud tools includes repositories, issues, pull requests, and guarded comments.
Multi-LLM support
Change LLMs from a phone or tablet with multi-LLM support per agent.
GitHub tool support
MCP support for enterprise cloud tools includes repositories, issues, pull requests, and guarded comments.
Multi-LLM support
Change LLMs from a phone or tablet with multi-LLM support per agent.
Security
Designed for Controlled AI Operations
InDaLoop helps teams apply scoped access, human review workflows, activity logging, and permission controls to agentic work. The goal is supervised execution with clear operational boundaries.
Compliance
Built to Support Regulated Workflows
InDaLoop is designed to help organizations maintain the records, approvals, and activity history needed for internal governance and audit review. Teams can review activity and logs for compliance, troubleshooting, and audit evidence. It does not replace your compliance program or certify your environment.
- Designed to support SOC 2-aligned workflows.
- Can help support SOX control workflows.
- Can support privacy-sensitive workflows when configured with appropriate customer controls.
LLM cost tracking
Track LLM costs and usage by agent so operators can watch spend while work runs.
Activity and logs
Review activity and logs for compliance, troubleshooting, and audit evidence.
Activity and logs
Review activity and logs for compliance, troubleshooting, and audit evidence.
Operator credibility
Built from real operational work.
InDaLoop was shaped by real-world experience in platform engineering, DevOps, cloud infrastructure, enterprise operations, and compliance-sensitive environments. Ricotek can help design, deploy, and operate the implementation when teams need delivery support.
The product is built around a simple operating principle: organizations trust AI when humans remain in control.
AI executes. Humans lead.
Bring AI agents into your operations without losing control.
See how InDaLoop helps teams coordinate supervised agentic workforces with approval gates, visible execution, and risk-aware controls.