AI agents are rapidly becoming as ubiquitous as code itself. According to a recent Workday global survey, 82% of organizations are rolling out or expanding their use of AI agents. Yet it is still rare to find agents that act as true teammates. There is a real need for agents that can contribute to decisions, ease the mental load, and help human experts move faster with confidence.
When the PROS AI Agents team sat down at the drawing board, our number one goal was to design agents that solve real problems for our customers. We considered the pain points we hear most often. That means everything from reducing repetitive pricing and selling tasks to automating slow manual analysis of RFPs and other long customer documents.
Today, PROS has transformed what was a promising technology just a short time ago into an explainable, enterprise-grade capability. Our AI agents are now embedded into users’ daily workflows, helping them automate, accelerate, and act decisively with confidence and transparency.
How We Built PROS AI Agents
We built our AI agents with a foundation of five core principles: goal-oriented, autonomous, adaptive, responsible, and enterprise-grade. These pillars shaped every stage of the design process, from the very beginning whiteboarding stages to how we prioritized development and deployment.
Not every business problem requires an agent, nor is every task suited to one. To identify where agents would deliver the greatest value, we used a prioritization matrix, similar to a RICE score (reach, impact, confidence, and effort), that weighed factors such as business impact, feasibility, and user experience. The outcomes of that process became our first generation of persona-based agents designed for specific roles, such as pricing analyst, revenue manager, and sales team.
From the outset, customer collaboration was critical. We engaged directly with customers to gather real-time feedback and input as we developed the agents, refining their features and the overall user experience.
Ultimately, each agent was streamlined to reduce manual steps and provide transparent recommendations backed by reasoning that users can evaluate and verify for themselves.
Differentiators That Define the PROS Approach
Once we identified and shaped our core set of persona-based agents, we focused on differentiating them in ways that matter most to enterprise users.
Engineered to minimize hallucination, PROS AI Agents support auditability and explain their decisions clearly. When they are asked a question outside the scope of available data, our agents are trained to say, “I’m not equipped to answer this question based on my knowledge,” rather than guess, to ensure users can trust their outputs. Users can question an agent’s reasoning, and more explainability features are on the way.
Our agents are also dynamic, responding to changes in account data and user input. Whether a customer operates in manufacturing, travel, or logistics, agents evolve alongside the data, ensuring recommendations remain relevant and actionable even as circumstances change.
Built to work with you, PROS AI Agents can engage in multi-turn interactions that adapt as conversations evolve. Like a choose-your-own-adventure novel, agent users can choose a solution but are free to pivot to a previous solution the agent offered when priorities shift. No matter what, the agent will keep all context intact within each user session.
PROS AI Agents in Action
No matter the industry you are in, PROS AI Agents are already coordinating interconnected and intelligent workflows across pricing and selling. Users from various business groups can interact with a singular agent interface, which will direct the inquiry to one of our persona-based orchestration agents, depending on context. The singular interface makes it simple. Users don’t have to hunt for the right agent or worry about choosing the wrong one. And because it’s built right into the platform and workflow, it’s always accessible and easy to use.
Learn how three common business challenges are handled using our PROS AI Agents.
- Maintaining Price Quality
Pricing teams often struggle to identify where discounts cut into profits or where missing data is making it hard to see the full picture. The Pricing Agent continuously monitors transaction, pricing, and sales data to flag anomalies. By detecting and correcting pricing irregularities early, the agent helps teams protect margins, ensure consistency and make more informed adjustments. - Streamlining Quote Creation
Sales representatives often lose valuable time parsing through lengthy and complicated catalogs to manually compile quotes, delaying deals. The Selling Agent changes that by letting sellers search the catalog in natural language. For example: “My customer needs a new microwave and fridge. The microwave should be powerful (at least 1000 watts) and have an energy star reward. For the fridge, it must be the biggest one with an ice maker. Could you suggest a couple of each to compare?” Once you and the agent have selected your products, they can be added to the quote automatically. This dramatically reduces turnaround time, minimizes mistakes, and helps teams respond faster and win more in competitive bidding environments. - Uncovering Business Insights
Pricing teams struggle to transform complex data into clear, actionable insights without spending hours exporting and analyzing spreadsheets. The Pricing Agent delivers insights and analytics through natural language, making complex data analysis fast and accessible. Users simply ask questions, and the agent generates charts, visualizations, and summaries. This empowers pricing analysts and managers to explore data without specialized skills or complex query languages, enabling flexible reporting and faster creation of charts, graphs, and business reports. - Accelerating Group Sales Efficiency
In the airline industry, group sales teams often face challenges with time-consuming booking workflows and manual processes that slow down revenue generation. The Group Sales Agent continuously automates complex tasks, accelerates quote creation, and prioritizes actions to keep deals moving. By simplifying these workflows and reducing friction, the agent helps teams improve efficiency, close opportunities faster, and drive greater revenue impact.
What’s Next for PROS AI Agents in 2026
The next generation of PROS AI Agents will continue to push the boundaries of enterprise-grade automation and decision intelligence. Upcoming features for next year include:
- Agent-to-agent (A2A) collaboration: This feature will allow multiple agents to work together to share information and context to deliver more coordinated and useful responses.
- Agent memory: Agents will soon be able to recall user history, previous sessions, and past recommendations to create more tailored and informed interactions.
- Explainability-on-demand: Users will be able to toggle on this feature to view the reasoning chain behind an agent’s recommendations, further strengthening trust.
- Action execution hooks: As API integrations expand, agents will soon be able to execute on human-approved actions, like making a change to a pricing list, directly within the platform.
- Integrating external data: PROS agents will incorporate third-party data such as the Consumer Price Index, Producer Price Index, and supply-demand forecasts in addition to customer data to strengthen recommendations.
- Secure extensibility: Through the Model Context Protocol (MCP), agents will be able to safely connect with external tools, data sources, and other agents while maintaining governance and compliance.
Proof Over Promises
PROS AI Agents aren’t just another collection of tools. We have built them with intention, ready for enterprise scale. They turn the potential of AI into real business results across pricing, sales, and revenue management.
As technology continues to evolve, PROS AI Agents will transform with it. We build our entire platform to grow alongside our customers, offering flexible, explainable, and scalable solutions that adapt to an ever-changing marketplace. With PROS, AI isn’t just a promise. It’s proof in action.
Frequently Asked Questions
PROS AI Agents automate pricing and selling workflows, providing explainable recommendations and improving decision-making for enterprise users.
They minimize hallucinations, offer auditability, and explain their reasoning so users can verify outputs confidently.
They address pricing quality, streamline quote creation, and deliver actionable insights from complex data.
Yes, they dynamically respond to changes in account data and user input across manufacturing, travel, logistics, and more.
They are enterprise-grade, explainable, and designed for multi-turn interactions with persona-based orchestration layers.
Upcoming enhancements include agent-to-agent collaboration, memory, explainability-on-demand, and secure extensibility.
Yes, future updates will incorporate third-party data like CPI, PPI, and supply-demand forecasts for stronger recommendations.