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AI Agents

Captain’s Bridge AI Agents turn recurring work described in natural language into workflows with defined permissions and tools. Start with a template, inspect its triggers and steps, and define writing permission and credit limits. Review action proposals with their evidence and trace each run’s inputs, outputs and errors.

Captain’s Bridge AI Agents: Controlled Business Automation

A real-screen tour of templates, task definitions, triggers, tools, permissions and credit caps, without saving or running an agent.

2:28

Chapters

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Key capabilities

Natural language and templates

Describe work and inspect triggers, steps and conditions. Adapt templates such as sourced lead research, human-reviewed CRM follow-up and incoming e-invoice type suggestions to your business rules.

Schedules, events and agent chains

Start manually, at scheduled times or on supported business events. Use the organization’s time zone and working days; chain another agent after one completes.

Bounded permissions and tools

An agent uses only its organization’s data and the tools you allow. Record-writing permission is a separate control, and the owner’s current permissions are enforced at runtime.

Action proposals with evidence

For human-approved actions, inspect the agent, run, source URLs, step outputs and fields to be written. Review and decide in the same approval panel.

Dry runs and run history

Dry runs simulate business writes and message sending. AI and web reads can execute and consume credits. Inspect inputs, outputs, timing and errors in run history.

Credit caps and the agent dashboard

Set monthly agent and organization credit limits. Follow active agents, recent runs, errors and pending action proposals together on the dashboard.

Screens from the app

These are real application screens. Lists and reports show their selection stage; private business records are excluded. The application UI shown is Turkish. Screen capture date: .

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