PMO-definierte project plans, assembled across your tools.
Proy.AI orchestrates Jira, Confluence and Excel into stakeholder-ready deliverables — Charter, WBS, Gantt, budget and risk register — without replacing your tools or forcing process change.
In 30 minutes you'll see how Proy.AI turns Jira, Confluence and Excel into a review-ready PMO plan pack.
Nothing in your stack changes. Everything around it gets sharper.
- —Your tools: Jira, Confluence, Excel and your existing stack
- —Your PMO process and governance intent
- —Human accountability — PMs and PMO remain owners and approvers
- +The AI workflow asks for the PMO-standard inputs systematically
- +Outputs arrive in a consistent, stakeholder-ready structure
- +Reviews route through a lightweight UI with sign-off gates
From scattered inputs to one review-ready pack.
Collect
Bring your stack. Proy.AI ingests context from Jira tickets, Confluence pages and Excel sheets — plus emails and Word docs where relevant.
Orchestrate
Your PMO governance becomes workflow guardrails: the system asks the missing questions, flags inconsistencies and assembles the pack.
Review & approve
Stakeholders review in the UI. PMO runs sign-off gates and approvals. The pack becomes the baseline for execution and plan-vs-actual.
One pack. Five artefacts. Stakeholder-ready.
Built from your operational inputs, structured to your PMO standards, routed through human review and sign-off gates.
- Project Charterwith stakeholder review setup
- Work Breakdown Structuredeliverables + structure
- Gantt-ready planMS Project compatible structure
- Budget sheetExcel-ready
- Risk registerowners, mitigations, early signals
From 1–2 weeks of throughput to review-ready in < 1 day.
Time to the first PMO-standard plan pack drops dramatically. Reviews require fewer iterations because inputs are systematically captured and validated.
Not another assistant inside a tool. A layer across them.
- —Helps inside one ticket or page
- —Bound to a single tool's data
- —No PMO-standard deliverable structure
- —No sign-off gates or approval logic
- Operates across operational tools
- Produces PMO-standard deliverables
- Governance embedded as workflow guardrails
- Human review and sign-off, by design
Boring on purpose. Documented in detail.
Data stays in EU or Swiss regions
Contract package available on request
Customer data is never used for model training
Use your business AI provider — or we manage it
Bring your stack. Recommended pilot: Jira + Confluence + Excel.
additional tools integrated as needed · exports: .xlsx · .docx
Frequently asked, plainly answered.
No. Proy.AI sits above your tools and orchestrates inputs and outputs across them.
No. Governance is embedded as workflow guardrails. Your PMO defines the standard — Proy.AI operationalizes it.
By design: the workflow asks structured questions, marks assumptions explicitly, and routes outputs through human review and sign-off gates.
A review-ready pack — Charter, WBS, Gantt-ready plan, budget sheet, risk register — built from sample Jira, Confluence and Excel inputs.
Up to 3 tools. Recommended: Jira + Confluence + Excel. Additional tools are integrated as needed after the pilot.
EU/CH data residency, DPA/AVV available, no training on customer data. You can use your business AI provider or we manage it — model-agnostic.
A 60-minute PMO AI-Operating System Customization workshop to map your gates, checklists and approval logic.
Templates don't solve adoption or consistency. Proy.AI operationalizes the standard by asking for the missing inputs and producing consistent outputs.
See your next project pack in 30 minutes.
step 2 → PMO AI-Operating System Customization (60 min)