Under the Hood of Fleet Optimization

1. From Data to Decision

DcisionAI integrates directly into your fleet tech stack — ingesting live data from GPS, incidents, SLAs, and traffic systems. Agentic workflows orchestrate decisions like routing, dispatch, and triage within milliseconds.

• Live ingestion: GPS, traffic, weather, incidents
• Context awareness: SLAs, driver status, fuel constraints
• Decision orchestration: Agent runtime computes optimal dispatch plan
• Human-in-the-loop: Managers can audit, approve, or override decisions

2. The Framework

Every decision in DcisionAI is governed by a structured orchestration protocol we call MCP — Model, Context, and Protocol:

• Model: Plug-in modules for optimization, AI, or scoring logic
• Context: Real-time variables like location, status, constraints
• Protocol: Rules for approval, override, explanation, and feedback

MCP lets us compose decisions that adapt to live data — while maintaining full governance and traceability.

3. Roadmap: From Dispatch to Enterprise Decisions

Dispatch is just the beginning. Our platform can orchestrate any high-impact operational decision — from inventory replenishment to pricing and workforce planning — with the same explainable, plugin-driven architecture.

Start narrow. Scale wide. One decision at a time.