Company Overview
Start a new assessment or load an existing XML.
Start New Assessment
Load Existing Lead (XML)
Resume a multi-department assessment from a previously exported XML.
Surgical Review Rubric
Gather deep-dive intel per department iteratively. Save locally to aggregate later.
Review & Generate
Review the assessed departments before running the high-reasoning LLM to synthesize.
Calling the LLM will aggregate all department data above to calculate the overall ROI and Multi-Agent Architecture.
Synthesizing Proposal
Claude 3.5 / GPT-4o is modeling the specific cross-department architecture and calculating ROI...
Master Partnership Proposal
Aggregate Efficiency Leak Score
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Platform-Wide Impact Level
Projected Monthly Savings
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Company Hours Recovered
Proposed AI Agent Multi-Layer Architecture
12-Week Implementation Roadmap
- Weeks 1-3 (Discovery & Mapping): Secure API keys, map exact data inputs, configure isolated testing sandbox for selected departments.
- Weeks 4-6 (Agent Assembly): Develop cross-dept communication logic, connect internal databases, run unit tests on historical data.
- Weeks 7-9 (Shadow Deployment): Run the agents in parallel to human workers (Human-in-the-Loop review). Target 95% accuracy.
- Weeks 10-12 (Production & Scaling): Active routing to AI layer first. Change-management training for staff to handle escalation exceptions only.