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Train AI Agents To Negotiate Like A Pro - Steven Green.pdf

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Description & Overview

Your counterpart uploaded a 47 page contract at 4 pm and expects redlines by morning, while your sales team has 200 leads who have not heard back in 6 days. You know AI can help, but the demos all sound the same, the legal team fears a hallucinated clause that costs $440,000 in 45 minutes, and nobody can answer who is liable when an agent exceeds its $10,000 discount limit.
This book is not a vendor white paper about the future, and it is not a prompt library that tells you to be a helpful assistant. It is not a hype story about artificial general intelligence in 5 years. What you need is a practical map from concept to deployment, from Jurist and Ironclad to Gong, Outreach, and CrewAI, with playbooks, authority limits, and audit trails that keep you compliant with the EU AI Act and state disclosure laws.
Inside, you will discover:
• The 3 phase evolution from rules to language models to agentic action in 2025 to 2026
• How Ironclad at $200 million ARR cuts contracting time 70 % and saves 6,500 hours per year
• Building a negotiation stack with 3 tiers, fully autonomous, hybrid, and human led
• Prompt design with role, constraints, concession hierarchy up to 15 %, and escalation triggers
• Multi agent deal rooms in CrewAI at 450 million workflows per month and AutoGen
• Trust, bias audits, and disclosure scripts that preserve relationships at 11 trillion tokens
• Legal agency, e signature law, and a 4 layer defense against hallucinations
You will set hard technical constraints beyond prompt text, run 50 deal tests before live use, and measure lead to revenue, not just emails sent. The sales development role at $4 billion growing to $15 billion by 2030 is not disappearing, it is shifting to supervision. If you want your team to oversee 200 accounts with the focus that once covered 50, this book gives you the stack, the scripts, and the governance to start this quarter.
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