Reusable PM operating model
Project Command Dashboard
Start with the portfolio health picture, then open the workstream that needs attention.
OzzyPM operating model
Gamified change control and decision tracking
Configure project workflows by industry, choose Agile or Waterfall, break a statement of work into manageable work packages, lock the scope baseline, detect skill-based resource conflicts, and turn approvals into missions with clear dashboards, reusable checklists, AI governance gates, and decision logs.
Program manager workflow
Inspect the project from left to right.
Use this map when you enter a new account, project rescue, steering review, or delivery checkpoint.
Workflow
Agile delivery flow
Attention
Decision and request queue
Scope baseline control
Build the approved baseline before changes enter delivery
Baseline Components
Translate the SOW into controlled scope artifacts that require human review before scope, schedule, cost, or acceptance criteria are treated as committed.
Stakeholder Sign-off
Track who has accepted the baseline, who still has questions, and where approval risk may block downstream delivery.
Change control workflow
Baseline deviation path
Resource capacity control
Spot over-allocation and guru dependency before delivery blocks
Multi-project Allocation
See who is assigned across projects, which skill each project is consuming, and where the same person is carrying too much critical work.
Skill Coverage
Identify single points of failure, thin backup coverage, and practical cross-training moves before a specialist becomes the blocker.
Conflict detection
Capacity and knowledge-risk alerts
Notion integration layer
Turn Notion workspaces into PM intelligence
Database Mapping
Map Notion databases into the OzzyPM operating model without exposing API tokens in the browser.
PM Insight Feed
Convert Notion rows into practical signals: capacity conflicts, sign-off gaps, change risks, and decisions that need a human owner.
Secure API scaffold
Server-side connection requirements
SOW breakdown studio
Turn a statement of work into work packages, schedule logic, and risk controls
1. Human-guided intake
Paste or summarize the SOW. The sandbox applies an industry playbook, but the PM stays in the loop before scope, schedule, or risk becomes a baseline.
Layered human-in-the-loop workflow
Each layer creates a reusable artifact and requires a human checkpoint before the plan progresses.
Work Breakdown Structure
Manageable work components with owner, duration, dependencies, and PM review points.
Schedule and Risk Analysis
A simplified first-pass schedule paired with risks that need human ownership.
Gamified change request center
Reward high-quality reviews while tracking scope, budget, schedule, and risk
Decision studio
Make decision paths explicit and repeatable
Agile + AI/data checklist builder
Reusable controls for every industry playbook
Current Template
Template Presets
AI project governance
Reusable assets for AI and data project delivery
Governance Gates
Use these gates as a repeatable operating model from AI idea intake through launch and adoption.
Reusable Asset Library
These are the practical templates customers can adapt for AI, analytics, automation, and data programs.
Gamified delivery missions
Reward quality, velocity, risk reduction, and AI governance reuse
Customization studio