With isolated content
AI processes individual inputs
- AI summarizes emails and documents
- AI drafts minutes or status reports
- AI extracts action items from an individual signal
From signal to confirmed project context
Context Driven Project Management (CDPM)
So AI can understandthe whole project.
CDPM complements existing project methods with living project context.This enables AI to analyze connections, evaluate next steps, and provide Guidance—while humans remain accountable.
Experience CDPM
TensorPM — the AI project agent built on CDPM
TensorPM — the AI project agent built on CDPMTwo functions. One loop.
Context Distillation keeps project context current.AI analyzes connections and provides guidance.
Distillation maintains the foundation. From that foundation, AI evaluates the project as a whole and proposes reasoned next steps.
With current project Context
AI analyzes the project as a whole
- AI evaluates next steps by goal contribution and urgency
- AI identifies bottlenecks and critical dependencies
- AI assesses scenarios and forecast ranges in the confirmed project state
Context Distillation
New signals can change the project state.
Context Distillation checks their relevance, proposes atomic deltas, and incorporates only human-confirmed deltas into Context.
New signals
Check relevance
Propose delta
Human decides
Context updated
AI proposes. The accountable human decides. Only then does the project context change.
Context → Analysis → Guidance → Signals → Context
The CDPM loop
Current Context provides the foundation for Analysis. Analysis leads to Guidance that moves the project forward. New Signals trigger distillation; only human-confirmed deltas update Context.
Context
Confirmed project state
Continuously maintained Context connects goals, decisions, risks, and dependencies as a shared foundation.
• Goals & Success Criteria
• Timeline & Milestones
• Budget & Resources
• Team & Stakeholders
• Dependencies & Risks
• Action Items
Analysis
AI value from Context
Turn Context into insight
From current, confirmed Context, AI evaluates project health, bottlenecks, critical dependencies, and forecast ranges.
• Plan vs. Actual Comparison
• Identify Context Gaps
• Trend Analysis
• Resource Utilization
• Bottleneck Analysis
• Critical Dependencies
Guidance
AI value from Context
Turn insight into next steps
Based on Analysis, AI proposes goal-aligned options that move the project forward. The accountable human decides.
• Context-based Action Item Creation
• Goal-aligned Prioritization
• Action Item Re-evaluation
• Trade-off Decisions
• Resource Distribution Optimization
• Context Adjustments (Timeline, Budget)
Signals
Context Distillation
Changes from project reality
New emails, documents, messages, and conversation notes can change the project state. Context Distillation reviews them; only confirmed deltas then update Context.
• 1. Signals from multiple sources
• 2. Relevance check & atomic deltas
• 3. Human review and decision
• 4. Traceable context update
Context Distillation
From signal to confirmed project context
AI checks relevance and proposes atomic deltas. A human confirms what changes Context. This keeps the foundation for Analysis and Guidance current.
Signal
Email, document, message, note
Relevance check
Compare signal with context
AI as catalyst
Delta proposal
Atomic, sourced change proposals
Human decision
Confirm, defer, or reject
[ ]
Updated context
Confirmed deltas only
Practice Example: API Delay
Atomic Distillation
Complex signals are split into individually reviewable change proposals with sources and assumptions
Selective confirmation
The accountable human can confirm, reject, or defer individual deltas for clarification
Audit Trail
A versioned history records who confirmed which delta, when, and for what reason
Scenarios grounded in confirmed project context
A living context enables AI to assess next steps and possible effects across time, budget, and scope. Assumptions and uncertainty remain visible before a human decides.
Project running as planned. All three dimensions in balance.
What-if Scenarios
Original plan with balanced time, budget, and scope targets.
Time
6 Months
Budget
500k€
Scope
100%
CDPM Advantage: Transparent Trade-offs
CDPM complements existing methods with an explicit context layer: options, assumptions, and possible trade-offs become visible together before a decision.
Transparent
Assumptions, sources, and uncertainty visible before the decision
Context-based
Effects assessed as scenarios or ranges
Connected
Relevant dependencies and goals are considered
How Live Collaboration Works in the CDPM Whitepaper
The whitepaper is a SSOT itself, following the CDPM principle that context leads and external signals are distilled into context, and it serves as an example of how a rolling SSOT can work in practice.
1
Contribute live in the reader
Click directly on a passage and submit your proposed change plus rationale in contribute mode.
2
Automatic validation
Filters and AI triage check quality and relevance. Only valid suggestions become visible.
3
Community prioritization
Suggestions stay anchored in context and are evaluated per location via up/down votes.
4
Distillation by the Project Owner
Meaningful suggestions are accepted, integrated into the markdown SSOT, and then published.
Collaboration happens live in the reader. Add your improvement exactly where it belongs.
CDPM Framework Documentation
WHITEPAPER
CDPM Meta-Framework Specification
Complete framework documentation including the four pillars, governance model, and implementation principles.
TOOLKIT
CDPM Implementation Toolkit
Practical templates, checklists, and guidelines for implementing CDPM in your organization.
GLOSSARY
CDPM Terms & Concepts
Comprehensive glossary defining all CDPM-specific terms, roles, and concepts.