Help & Docs
mAI Priority helps teams score initiatives, gather delivery evidence, plan work, and export to the tools they already use — without turning prioritization into overhead.
Features
Add initiatives to a shared backlog and score each one on Value, Urgency, and Effort from 0–10. The priority score is calculated as (value × value weight × urgency × urgency weight) / max(effort × effort weight, 1), giving every conversation a transparent, consistent starting point. Filter by project type, status, or tag.
Each initiative moves through eight lifecycle phases: Idea → Discovery → Requirements → Solution Design → Ready for Delivery → Exported → Validated → Archived. A readiness checklist tracks required evidence. An initiative cannot advance to delivery without: a problem statement, value hypothesis, success metrics, an approved requirement, acceptance criteria, at least one test case, and no unresolved high-impact risks.
Capture functional and non-functional requirements with descriptions and acceptance criteria. Requirements start in draft status and are promoted to approved once reviewed. Approved requirement count feeds directly into the readiness score.
Log risks with title, impact level (Low / Medium / High), and mitigation plan. Track each risk through Open, Mitigated, or Accepted status. Open high-impact risks block an initiative from reaching Ready for Delivery.
Record decisions with context and rationale so future team members understand why a direction was taken. Decision logs make handovers cleaner and avoid repeated discussions.
Define test cases with steps and expected results. Track run status — Not Run, Passed, Failed, or Blocked. Link test cases to specific requirements. At least one test case is required for delivery readiness.
Break a ready initiative into tasks across To Do, In Progress, and Done columns. Assign tasks an owner, due date, estimate, and type (Research, Requirement, Design, Development, Test, Release). Flag blocked tasks and add notes. Time estimates roll up to project-level effort tracking.
Visualize start and projected end dates across the portfolio in a Gantt-style chart. Bar color reflects the priority score (green ≥ 6, amber ≥ 3, red < 3). Translucent confidence bands show how early or late a project could finish. A Today marker reveals what is overdue, on track, or upcoming at a glance.
Portfolio AI and Project AI draft planning artifacts — kanban tasks, requirements, risks, decisions, test cases, and readiness improvements — as proposals you review before anything is saved. The AI can never delete your data. Available as a Pro feature on the hosted SaaS.
Export a project or the full portfolio as CSV or Markdown. Supported targets include Azure DevOps, Jira, Trello, GitHub Issues, Microsoft Planner, Teams/Wiki, and generic CSV. Exports include scoring data, requirements, risks, decisions, test cases, tasks, and estimates — everything a receiving team needs to start without a separate handover meeting.
Every initiative gets a full business case: total investment, annual value, payback period, and 3-year ROI. The break-even chart shows the exact month the initiative pays for itself.
Workflow
Follow this sequence to keep things lightweight. The goal is better decisions, not a second project management system.
Readiness
The readiness panel in each project tracks these required artifacts. Missing items show in the checklist so you know exactly what still needs to be done.
The timeline page shows every project that has a start date as a horizontal Gantt chart. Open a project, set its Start date and Projected end date, and it will appear on the timeline automatically. Projects without a start date are excluded.
Scoring
Score each initiative on three dimensions using a 0–10 scale. Settings can weight value, urgency, and effort, so comparisons stay meaningful for your portfolio.
High weighted value and urgency with low weighted effort rises to the top. Visual meters scale against the current maximum possible score; grade thresholds remain the same priority labels.
Two AI helpers are available inside the app. Both show every suggestion as a proposal you review before anything is saved. The AI can never delete your data. On the hosted SaaS, AI helpers are a Pro feature.
Available on the backlog page. Sees all projects, their scores, tasks, and readiness. Use it to get a cross-portfolio view before a planning meeting.
Available on each project page. Sees the single project's full context: research sections, tasks, requirements, risks, decisions, and test cases.
Export a single project or the full portfolio when the handover evidence is ready. Exports include scoring data, requirements, risks, decisions, test cases, and tasks.
Structured columns that map directly to backlog import formats.
Human-readable output for wikis, handover documents, and team channels.
Reference
