Vector

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Most schedules look complete.
Few are decision-ready.

Vector is Arionox’s schedule intelligence workflow—built to determine whether a plan can actually support executive decisions, not just report dates.

Vector uses agentic analysis to interrogate schedule structure, logic, and behavior, and to explain—plainly and defensibly—when a schedule cannot be trusted.

Vector answers one question with precision:

Can this schedule support delivery, recovery, and funding decisions?

It does this by combining deterministic schedule math with agent-driven reasoning—so conclusions are explainable, auditable, and defensible 

 1. Autonomous Schedule Interrogation

Specialized agents independently evaluate:

• Network logic completeness 
• Float integrity and computability 
• Structural drivers of negative or excessive float 
• Duration realism and constraint behavior 

Each agent operates within clear analytical boundaries and produces evidence-backed findings.

 2. Deterministic Truth First  

Vector anchors all analysis in deterministic schedule logic—not probabilistic inference.

This ensures:

• Repeatable results 
• No black-box conclusions 
• Full auditability 

AI is used to reason about results, not fabricate them.

3. Decision Readiness Assessment 

Vector doesn’t just flag issues—it determines what decisions are blocked because of them.

Executives see:

• Why a delivery date cannot be committed 
• Why a baseline cannot be approved 
• Why recovery planning is speculative 
• What must be fixed first to restore confidence

Not a Schedule Viewer

Vector does not visualize your schedule. It challenges it.

Not a Rules Engine

Static checks can’t reason across failures. Vector agents evaluate interactions and escalation paths.

Not a Black Box

Every conclusion is traceable to:

• Deterministic calculations 
• Explicit thresholds 
• Agent-level reasoning 
• Supporting evidence

 Vector is designed for programs where:

• Schedules are large and interdependent 
• One decision can cost millions 
• False confidence is worse than bad news 
• Executives need clarity, not charts 

Aerospace, energy, advanced manufacturing, and infrastructure programs depend on schedule integrity.
Vector exists for exactly that environment.

 Vector is agentic-AI–ready by design, with active agentic behaviors today.

• Deterministic agents establish ground truth 
• AI agents reason across results 
• Orchestration governs escalation and synthesis 
• Human-in-the-loop is preserved where stakes demand it 

This approach prioritizes trust, explainability, and correctness over autonomy theater.

 If Vector says a schedule is decision-ready, it’s defensible.
If it says it’s not, you’ll know exactly why.

That’s not reporting.
That’s schedule intelligence.