Purpose
Why this agent exists
Tribre · Role Agents
What if an AI agent had a role, not just a prompt?
Most AI agents are defined by what they can do — tools, APIs, access. Role Agents are defined by what they’re responsible for — purpose, boundaries, escalation rules, and a human steward.
The problem
Automation without role thinking creates chaos
Teams deploy AI agents with vague mandates: “handle customer questions,” “monitor performance,” “draft reports.” Without clear role boundaries, these agents overlap, miss edge cases, and nobody knows who’s accountable when they get it wrong. The missing piece isn’t better models — it’s better role design.
The framework
A Role Agent is defined like any contributor
Eight dimensions that make an AI agent legible, accountable, and steerable:
Responsibilities
What it owns and delivers
Inputs & Outputs
What it consumes and produces
Tools
Systems it can access
Decision Authority
What it may recommend vs. decide
Escalation Rules
When and how it hands off to humans
Human Steward
Who oversees and is accountable
Success Indicators
How you know it’s working
In practice
Example: AI Customer Insight Analyst
Customer Insight Analyst
Role Agent · Semi-autonomousPurposeSurface recurring customer pain points and emerging patterns for the product team
ResponsibilitiesReview support tickets weekly · Cluster by theme · Flag urgent trends · Produce insight brief
InputsZendesk tickets, Dovetail interviews, NPS responses
OutputsWeekly insight brief, theme clusters, emerging risk flags
ToolsZendesk API, Dovetail API, internal wiki
DecisionsMay categorize and prioritize themes; may NOT commit to product roadmap
EscalationFlags conflicting signals or sensitive topics to Product Lead
Human StewardHead of Product
SuccessProduct team references insights in planning; response time to emerging issues decreases
Early prototype
Design your own Role Agents in Tribre
Describe what you need. Tribre AI asks the right role-design questions. You get a structured definition you can refine.
Conversation
We need an agent that reviews our customer support tickets weekly and flags patterns the product team should know about.
Tribre AI
I’ll help you design that. What systems does it need access to? (e.g., Zendesk, Intercom, a shared inbox)
Zendesk and our Notion wiki for context. It should produce a weekly brief in Slack.
Tribre AI
Got it. Who should be the human steward — the person accountable when the agent flags something sensitive or ambiguous?
Sarah, our Head of Product.
Tribre AI
Here’s your Role Agent definition. I’ve drafted all 8 dimensions — review and refine anything that doesn’t feel right.
Generated Role Agent
Customer Insight AnalystRole Agent · Semi-autonomous
PurposeSurface recurring customer pain points and emerging patterns
ResponsibilitiesReview tickets weekly · Cluster themes · Flag trends · Produce brief
InputsZendesk tickets · Notion wiki
OutputsWeekly Slack brief · Theme clusters
DecisionsMay categorize & prioritize · May NOT commit to roadmap
EscalationConflicting signals → Sarah · Sensitive topics → Sarah
StewardSarah (Head of Product)
SuccessTeam references insights · Faster issue response
Click any field to edit · Ask Tribre AI to refine
Part of the system
Role Agents live inside your role system
Tribre Teams
Agents appear alongside human roles in team views
Tribre Solo
Understand which of your tasks might become an agent’s job
Tribre AI
Role Agents are stages 4–5 on the AI maturity path