AI workforce
Intelligence roles with scope, owners and a record of what they did
An AI workforce is only useful when it is governed. In AEGIS OS™ every role is defined during architecture, validated before deployment and reviewed on a cadence after go-live.
Role types
Roles configured to your workflows
The role types below are configured per engagement. Which roles apply, and what they are permitted to do, is decided during the Architecture Assessment.
Intake and coordination
Capture requests, route them and keep status visible to everyone waiting.
View use case →Document and record work
Read, extract and summarize documents into structured, reviewable output.
View use case →Analysis support
Assemble comparisons, surface exceptions and prepare decision material.
View use case →Drafting and correspondence
Prepare first drafts in your format, routed for review before release.
View use case →Quality and review checks
Check work against defined criteria and flag what needs a human.
View use case →Operational monitoring
Spot stalled work, missing inputs and exceptions, and escalate them.
View use case →Pipeline and deal flow
Maintain the opportunity record, stage data and next steps in one pipeline.
View use case →Reporting and updates
Assemble recurring reports and updates from the governed record, on cadence.
View use case →Governance
Four rules every role follows
- 01
Defined scope
A role only performs the tasks documented for it, against the data it is permitted to use.
- 02
Named human owner
Every role belongs to a person who is accountable for its output and its review.
- 03
Review before consequence
Work with external or financial consequence passes a human checkpoint before release.
- 04
Traceable output
Actions are recorded so output can be reviewed, corrected and explained.
Comparison
Prompt tools, isolated agents and a governed workforce
| Prompt tools | Isolated agents | AEGIS OS™ AI workforce | |
|---|---|---|---|
| Inputs | Pasted by the user | Ad hoc connections | Defined source of truth |
| Scope control | None | Loosely defined | Documented and approved |
| Human checkpoints | Optional | Rare | Designed into the workflow |
| Traceability | Chat history | Fragmented logs | Recorded and reviewable |
| Ownership | The individual | Often nobody | A named owner per role |
Next step
Define the roles your operation actually needs
Role design happens inside the Architecture Assessment, after your operating model and data reality are mapped.