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NegoIQ is a research prototype that transforms messy vendor chats into structured strategy, counterparty insights, and roleplay practice. Built to explore how far LLMs can go in high-stakes preparation.
From intake to playbook in one structured pass.
Share your deal. The system captures supplier offers, constraints, and goals automatically.
Build a profile for the negotiator, company dynamics, and leverage signals.
Generate opening positions, concessions, and next-step scripts for real negotiations.
A preview of the technical decisions powering the flow.
Roleplay context is isolated from strategy context to prevent leaks.
Each phase stores structured outputs and confidence, not raw chatter.
Safety and quality checks before summaries and phase transitions.
Dedicated prompts for extraction, synthesis, and roleplay.
Real-time chat with metadata-driven buttons.
NegoIQ is a personal research build exploring how LLMs can assist negotiation prep. It's intentionally transparent about its limitations. If you want to see how it works, try the flow, inspect the outputs, and share feedback.
Enterprise AI Transformation | Agentic Workflows | Operating Model + Adoption
I build enterprise AI transformation that survives contact with reality. Over 20 years in global operations taught me the hard part isn't the model — it's workflows, data, controls, and adoption. I focus on agentic AI implementation: turning fragmented processes into systems where humans and agents can execute safely at scale.
I write about agentic workflow design, governance that enables speed, adoption playbooks, and what actually breaks in enterprise rollouts.