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Persona agents

AI Agents for Every Role

Seventeen agents, 59 sub-agents, one delivery model, and a person approving every step.

  • 17 persona agents across Define, Plan, Build and Run
  • 59 sub-agents monitoring every move
  • Every output reviewed by a person
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Illustration of eight role agents, from Executive to Security, connected to one shared delivery model
Illustration from the SyncupHUB film

What are SyncupHUB’s AI agents?

SyncupHUB includes seventeen persona agents, each shaped to one job in the delivery chain, from the PO Agent that checks a request for missing information to the Deployment Agent that drafts the rollback runbook. Beneath them, 59 sub-agents monitor every move in the delivery. Every agent proposes rather than acts: a person reviews and approves the output.

How it works

  1. Pick the job, not the prompt

    Each agent is already shaped to its task, so nobody has to invent a prompt to get a useful answer.

  2. Work from one model

    Every agent reads the same hierarchy, capacity and evidence, so the Risk Agent and the Report Agent never tell two different stories.

  3. Propose, then approve

    An agent drafts a requirement, a plan or a test recommendation, and a person reviews, edits and decides. Nothing it proposes becomes delivery work on its own.

  4. Run under your policy

    Agents use only the AI providers your administrator has approved, inside your tenant or with a named external provider.

What’s included

  • Product Owner: PO Agent
  • Design: Design Agent
  • Architect: Architecture Intelligence Agent
  • Scrum Master: Scrum Master Agent
  • Resource Manager: Capacity Planner Agent
  • Delivery Manager: Timeline Planner Agent
  • Programme Owner: Risk Agent
  • Developer: Engineering Agent
  • QA: Quality Review Agent
  • Security: Security Review Agent
  • Integration: Integration Agent
  • Release Manager: Release Advisor Agent
  • DevOps: Deployment Agent
  • Support Lead: Delivery Triage Agent
  • L1 Support: L1 Support Agent
  • L2 Support: L2 Support Agent
  • Executive: Report Agent

What it needs

Stated plainly, before a demo does.

  • Image generation needs a configured provider.
  • Static analysis does not prove runtime behaviour.
  • Running engineering requests needs execution infrastructure you configure.
  • The Deployment Agent drafts runbooks; it never releases on its own.

Questions about AI Agents for Every Role

What AI agents does SyncupHUB include?

Seventeen persona agents, one for each job in the delivery chain: PO, Design, Architecture Intelligence, Scrum Master, Capacity Planner, Timeline Planner, Risk, Engineering, Quality Review, Security Review, Integration, Release Advisor, Deployment, Delivery Triage, L1 Support, L2 Support and Report, with 59 sub-agents beneath them.

Is there an AI product owner (PO AI) in SyncupHUB?

Yes. The PO Agent is AI for product owners: it checks a request for missing information, reviews product fit and backlog overlap, and drafts requirements and acceptance criteria. It proposes; the product owner keeps priority and approval.

Does it support Scrum and agile teams that use Jira?

Yes. The Scrum Master Agent prepares ceremonies, chases impediments that have gone quiet and turns a retrospective into owned actions, and SyncupHUB syncs work with Jira in both directions, so agile teams keep their Jira boards while the agents read the same delivery model.

Do the agents act on their own?

No. Every agent proposes and a person decides. An agent can draft a requirement, a plan or a test recommendation, but its output stays a draft until someone with the right role reviews and approves it, and that approval is recorded.

Which AI models do the agents use?

The ones your administrator approves. Agents can run on models inside your own tenant or on an external provider under your AI provider policy, such as the OpenAI API behind ChatGPT or Anthropic’s Claude API. Reaching an external provider is a decision you make, not a default.

How is this different from a general AI assistant?

A general assistant answers whatever it is asked, from whatever it is given. SyncupHUB agents are each scoped to one job and read the same live delivery model, so their answers are grounded in your work and agree with each other.

Related features

AI and Tools Marketplace

The AI models and delivery tools your teams may use, from in-tenant models to the OpenAI and Claude APIs, each approved by an administrator.

Learn more

QA Intelligence

AI-drafted test cases from acceptance criteria, approved by QA and traced to the requirement.

Learn more

Token Efficiency

Only the context a task needs, on the model it needs, unmetered inside your tenant.

Learn more

Further reading

See AI Agents for Every Role on your own delivery

A 30-minute walkthrough on your delivery model, not a generic demo.

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