Negotiating with AI Agents by 2028: Strategy & Governance
A forward-looking brief on AI agents in negotiation: governance controls, risk boundaries, and how to stay in charge.
Key takeaways
- Agents will accelerate preparation and execution, not replace accountability.
- Define boundaries: what agents can propose vs what humans approve.
- Use evaluation and monitoring to prevent drift.
- Keep audit trails for decision legitimacy.
Where agents help
- Research and preparation
- Drafting proposals and counteroffers
- Scenario simulation
Where humans must stay in charge
- Final commitments and risk acceptance
- Exceptions and escalations
- Relationship and strategy
Governance blueprint
Combine policies (what’s allowed), controls (what’s enforced) and evidence (what’s logged).
Procurement note
If you want this to survive audits, insist on artifacts: requirements, evaluation gates, logs, incident procedures and reversibility clauses.