AI Platform

Autonomous Deal Negotiation

A governed multi-agent system that coordinates vendor outreach, inbound replies, quote extraction, negotiation strategy, approval, comparison, and final recommendation across a persistent deal workflow.

End-to-end negotiation

From purchase need to decision-ready recommendation.

Designed for procurement, vendor renewals, managed services, software and hardware buying, education procurement, and other multi-vendor sourcing workflows.

Structure the requirement

Convert business needs, constraints, timelines, budgets, and vendor lists into a normalized negotiation brief.

Engage vendors

Draft and send approved outreach, receive replies, and keep each negotiation thread associated with the correct deal.

Analyze & negotiate

Extract pricing, terms, SLAs, warranties, delivery, risks, and gaps; generate counteroffer and clarification strategies.

Compare & recommend

Normalize final offers, score against buyer priorities, and produce a documented recommendation with negotiation history.

Architecture

Autonomy with explicit authority boundaries.

The platform can pursue a defined negotiation goal across multiple steps while preserving approval controls around outbound communication, commitments, and policy-sensitive actions.

Multi-agent orchestrationEmail-native workflowPDF/quote extractionPersistent deal stateNegotiation policy engineHuman approvalOffer comparisonAudit trail
CORE TECHNICAL COMPONENTS
1
Inbound/outbound communication layer

Email channels, vendor identity, thread correlation, and delivery controls.

2
Offer normalization

Extract structured pricing, line items, terms, support, delivery, and exceptions from varied vendor responses.

3
Negotiation intelligence

Strategy, counteroffers, clarification questions, comparison logic, and buyer-preference weighting.

4
Governance

Buyer authority boundaries, approvals, traceable decisions, and protection against unauthorized commitments.