Negotiation Prep Orchestrator
Coordinates data gathering and brief assembly for provider negotiations
Prepare negotiation briefs for out-of-network claims with comparable rates, provider history, and market data
When out-of-network claims cannot be auto-repriced or require human negotiation, analysts spend hours manually assembling negotiation packages. They must pull comparable reimbursement rates from internal databases, research the provider's billing history and past settlement patterns, gather regional market benchmarks, and compile everything into a coherent brief. This preparation bottleneck delays resolution, and inconsistent briefing quality leads to suboptimal settlements that leave money on the table. This agentic workflow automates the assembly of comprehensive negotiation briefs. A Market Intelligence Agent pulls comparable rates from internal claim history, public pricing data, and regional benchmarks. A Provider Profile Agent compiles the provider's complete history—past claims, settlement ratios, appeal patterns, and relationship status. A Brief Generator synthesizes all data into a structured negotiation package with recommended opening positions, settlement ranges, and supporting evidence, ready for human negotiators to execute. Organizations deploying automated negotiation preparation report 70% reduction in brief preparation time and 10-15% improvement in settlement outcomes due to more consistent, data-driven positioning. First-contact resolution rates improve by 20-25% as negotiators enter conversations better prepared. This is valuable for any payor or TPA with significant out-of-network claim volume where human negotiation remains necessary for high-value or complex cases.
Agent Architecture
An orchestrator coordinates market intelligence gathering, provider profiling, and brief generation to produce comprehensive negotiation packages.
Negotiation Prep Orchestrator
Coordinates data gathering and brief assembly for provider negotiations
Market Intelligence Agent
Pulls comparable rates, regional benchmarks, and public pricing data
Provider Profile Agent
Compiles provider billing history, settlements, and relationship status
Brief Generator Agent
Synthesizes data into structured negotiation brief with recommendations
Receive out-of-network claim flagged for human negotiation
Pull comparable reimbursement rates from internal claims history
Gather regional market benchmarks and public pricing data
Compile provider billing history, past settlements, and relationship status
Analyze provider's appeal patterns and negotiation tendencies
Generate structured negotiation brief with recommended positions
Calculate settlement range with supporting evidence and rationale
Deliver brief to assigned negotiator with priority scoring
Click any KPI to view detailed measurement guidance, formulas, and typical ranges.
Capture all agent interactions (prompts, outputs, data sources accessed) in a central, searchable system
Central inventory of all agents with metadata: owner, purpose, data sources, risk level, users
Regularly test agents for vulnerabilities (jailbreaks, prompt injection, data exfiltration attempts)
These controls help ensure secure, compliant, and auditable AI operations. High-priority controls are critical for production deployment.
AI generating false or fabricated information presented as fact
AI using outdated data that no longer reflects current reality
Inability to verify or cite the original sources of AI-generated information
Unintentional exposure of sensitive data through model training or outputs
Lack of proper consent for recording, storing, or processing user interactions
Risks associated with external vendors processing sensitive data
Malicious manipulation of AI behavior through crafted input prompts
These risks should be mitigated through proper governance controls and operational procedures.
Research accounts pre-call, identify decision-makers, map org charts, understand buyer priorities
Track competitors in real-time, auto-update battle cards, deliver sales intelligence to reps
Recommend relevant case studies and content based on buyer stage and pain points
Explore assistive AI tools that Sales teams use to augment these agentic workflows.
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