Projects

Every decision in Axiom operates within a Project. Think of a project as an isolated, stateful workspace where you gather constraints, evaluate choices, and mathematically determine the best path forward.

The Architecture of a Decision

Axiom models decisions using three foundational primitives:

1. Criteria: The independent variables. These define what makes an option viable (Elimination) or exceptional (Scoring).
2. Options: The dependent variables. The actual candidates (vendors, candidates, product features) you are evaluating.
3. Frameworks: The mathematical engine. This is how Axiom processes the relationship between your options and criteria.

Supported Frameworks

While the Standard Weighted Matrix is the most common default, Axiom is flexible. Depending on your project's configuration, you can implement:

• ICE (Impact, Confidence, Ease): Perfect for rapid product feature prioritization.
• RICE (Reach, Impact, Confidence, Effort): Similar to ICE but scales better for larger user bases.
• Custom Heuristics: Build your own multi-dimensional scoring models using our auto-balancing weight system.

The Auto-Balancing Math

When you use a Weighted Matrix, you don't need to manually calculate percentages that add up to 100%.

Instead, you assign a semantic weight (e.g., Very High, Average, Low) to each Scoring Criterion. Axiom's engine normalizes these weights on the fly. If you add a new Very High criterion halfway through evaluation, the system automatically redistributes the mathematical impact across the entire matrix so you never have to touch a spreadsheet formula again.

Project Lifecycles

Decisions in Axiom follow a strict state machine to enforce rigor:

1. Draft: You are actively building the matrix—defining criteria and adding options. Scores cannot be finalized yet.
2. Evaluate: The active grading phase. Teams input scores, run sensitivity analyses by tweaking weights, and debate via the Suggestions flow.
3. Decision: The final state. The winning option is selected, a formal rationale is written, and the project is locked for auditing.

The AI Advantage

Staring at a blank matrix can cause analysis paralysis. To fix this, Axiom integrates with Google Vertex AI and Gemini.

Auditability

Compliance and historical context are built-in. Every project maintains a strict Activity Log. Whether someone tweaked a weight from High to Low or an Approver ratified a score change, the ledger tracks exactly who did what and when. When you look back at a decision six months later, the paper trail is undeniable.