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AI where it matters most: embedded in revenue workflows.

Model N AI operates inside the revenue lifecycle, turning insight into action across pricing, deals, incentives, contracting, and compliance, without forcing teams to work in disconnected tools.

Three capability areas. One revenue lifecycle.

Working together across pricing, contracting, compliance, and deals.

Automate the manual steps that slow execution and create risk.

  • Medicaid invoice & claims automation (Medicaid Agent + AIR) Automate invoice acquisition and ingestion, validate claim‑level detail, and streamline dispute identification—reducing manual work while improving compliance outcomes.
  • Entity resolution & validation workflows Reduce the operational risk caused by incorrect customer identity mapping—so pricing, contracts, and rebates execute on the correct customer.
  • Contract Intelligence (Contract ingestion + interpretation) Convert complex, unstructured contracts into structured, operational revenue data—so contracts activate faster and execution starts sooner

Turn trusted data into confident decisions at the moment of action.

  • Data nSights (AI‑ready data + self‑service analytics) Give business teams secure access to trusted, governed revenue data they can explore directly enabling agent-driven processes and data-informed decision making and shifting from “reporting and translation” to proactive, data-driven strategy.
  • In‑workflow insights inside GPM/GTM and deal workflows Bring context and guidance into the systems teams already use—so decision‑making happens where execution happens.

AI agents that analyze → recommend → act—with human approval.

  • Global Pricing Agent (GPM Agent) Use natural language to understand pricing context and draft pricing proposals with visibility into downstream impact
  • AI-Driven Data nSights: Surface valuable, intelligent insights and recommendations with purpose-built reporting agents.

What AI looks like when it’s purpose‑built for revenue execution.

This isn’t generic chatbots. Model N focuses on AI that orchestrates real revenue decisions—inside governed workflows—so teams can move faster without sacrificing control.

  • Data nSights value dashboards video
  • Medicaid Agent / Medicaid AIR video
  • API Developer Portal / Extensibility video

Human‑Led, Trusted AI—Built for Regulated Industries

In regulated environments, AI only delivers value when people remain firmly in control. Model N is built to unify revenue and compliance processes on a single source of truth—so teams can move faster, make better decisions, and stay audit‑ready without increasing risk.

Model N applies AI where accuracy, compliance, and financial impact matter most: revenue. Our approach is human‑led by design—augmenting expert judgment, automating the right work, and surfacing trusted insights at the moment of execution.

Model N AI is:

  • Human‑in‑the‑loop, preserving ownership and accountability
  • Explainable and auditable, with traceable outputs
  • Grounded in trusted, AI‑ready revenue data via Data nSights
  • Governed by enterprise controls, built for high‑stakes environments

“AI should accelerate execution, not replace judgment.”
Bret Conor, Chief Executive Officer, Model N

What’s next: guiding you to the next best decision

Model N is expanding agentic execution across pricing, deal execution, and Gross to Net—bringing more conversational interaction into core workflows while maintaining governance and control.


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Discover new ways to strengthen your workflows

Whether you’re modernizing pricing execution, accelerating contracting, or strengthening compliance, Model N can show you where AI delivers measurable impact across your commercialization lifecycle.

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