Zilliant introduced agentic AI capabilities and what is said to be the pricing industry’s first Model Context Protocol (MCP) Server to make intelligent pricing accessible for organizations of any size.
By automating complex tasks and embedding intelligence directly into existing workflows, Zilliant’s new AI agents help businesses move beyond spreadsheets, outside consultants and guesswork to achieve immediate, measurable results.
“Pricing anxiety has reached a tipping point,” says Pascal Yammine, Zilliant’s CEO. “Economic uncertainty has made every pricing decision critical, yet most organizations are still managing this complexity with spreadsheets and gut instinct. AI has the power to change this—and every company, regardless of size or sophistication, should be able to harness that advantage. Our agents deliver enterprise-level pricing intelligence in a way that’s approachable and affordable, giving any organization the tools to make faster, more confident decisions that protect margins and unlock growth.”
Key takeaways:
· Zilliant’s new AI agents remove common barriers by automating complex pricing tasks and offering easy-to-follow guidance that anyone can use. They fit right into existing workflows, adding intelligence and automation step by step, so the move from manual work is smooth and delivers instant value.
● The Approvals Agent eliminates the bottlenecks and confusion that slow down pricing decisions. Instead of lengthy approval cycles or fear of making the wrong choice, it proactively guides users toward changes that align with company strategy, provides clear context for decisions and streamlines the approval process when needed—giving organizations confidence to act quickly.
● The Sales Agreement Agent solves the common problem of outdated agreements that no longer reflect current market conditions or customer value. It automatically identifies when agreements need updating, suggests revisions based on pricing changes and provides sales teams with clear positioning guidance—transforming a typically complex process into simple, guided actions.
● The Insights Agent cuts through data complexity to surface the insights that matter most. Rather than requiring teams to build complex reports or dig through spreadsheets looking for margin issues or demand changes, it proactively highlights critical alerts and makes it easy to understand what action to take.
● As part of this launch, Zilliant is also introducing the Model Context Protocol (MCP) Server, an integration capability that allows organizations to incorporate pricing intelligence into their existing AI ecosystem, without requiring specialized implementation. This addresses a key barrier for organizations exploring AI adoption: the ability to connect new capabilities with existing tools, data and workflows.
● The MCP Server enables organizations to bring Zilliant’s pricing intelligence wherever work is being done—whether through existing business applications, custom AI assistants or emerging enterprise AI platforms. For enterprises experimenting with AI-driven automation, this ensures that pricing decisions can be informed by the same intelligence that powers dedicated pricing solutions, without the complexity of managing multiple disconnected systems. This lowers the cost and risk of AI adoption while accelerating time to value.
