Introduction

What AI Pod is

AI Pod is a workspace for organizing specialized AI employees around a business objective. A company blueprint supplies approved context. A Pod defines the outcome, specialists, knowledge, controls and review points. The workspace shows planned and completed work, decisions, and deliverables.

The public product and solution pages include illustrative animations. Those previews are not connected to your company data. This documentation distinguishes saved application behavior from examples and future integration concepts.

Finding public resources

All public pages share one footer with product, resource and company links and a Book a demo action. Its employee artwork is decorative and does not represent active workers.

The documentation index pairs section names with category icons. Product benefits, event resources and demo plans use the same supplementary visual cues; the text labels remain the source of meaning. Icons do not indicate a connected service or completed setup. The public integrations workflow offers Research brief, Financial review and Engineering release scenarios, pairing the corresponding employee artwork with tool, output and human-review icons. These are explanatory animations, not live tool calls.

The working model

• Company: the owner-scoped record for goals, departments, process maps, rules, permissions and knowledge.
• Pod: an outcome-driven team with a plan, selected specialists, evidence and execution mode.
• AI employee: a defined specialist with a mission, inputs, outputs, instructions and quality criteria.
• Orchestrator: coordinates dependencies, specialists and the final result.
• Human checkpoint: a decision that the application leaves to an authorized person.

A good first path

1. Create a company and complete onboarding.
2. Upload the knowledge the Pod may use.
3. Create a Pod in simulation mode and inspect the plan.
4. Configure a live model gateway only when you are ready to test actual generated text.
5. Review decisions and the final deliverable before using it outside AI Pod.