Agentic AI transforms pricing research into faster, governed, and more consistent quoting decisions.
A North American manufacturer of OPGW fiber-optic cables for electric utilities relied on pricing experts to manually research information spread across multiple disconnected systems. Veltris implemented an Agentic AI-powered Price Research Agent that assembles evidence-backed pricing briefs, helping specialists generate faster, more consistent quotes while maintaining expert oversight.AI assembles the evidence. Experts approve every quote.
Manual price research slowed quoting and introduced inconsistency.
Pricing specialists depended on tribal knowledge and manually gathered information from more than seven disconnected systems. The lack of a single source of truth made quote preparation slow, difficult to validate, and heavily dependent on scarce subject matter experts.
PAIN POINTS
Agentic AI built for intelligent price research.
Veltris implemented an Agentic AI-powered Price Research Agent that retrieves trusted pricing information from Azure Synapse data sources, assembles a cited pricing brief using retrieval-augmented generation (RAG), and presents current costs, margin delta, and win/loss context for expert review. Structured approval workflows ensure pricing decisions remain governed while significantly reducing manual research effort.
Every recommendation is grounded in trusted data and approved by experts.
WHAT CHANGED IN THE WORK
WHAT WE DELIVERED
Faster quotes. Better governance. Protected profitability.
KEY RESULTS DELIVERED
Veltris combined Agentic AI, retrieval-augmented generation, enterprise knowledge retrieval, and human-in-the-loop governance to modernize one of the most knowledge-intensive pricing workflows. By transforming fragmented enterprise information into trusted, evidence-backed pricing recommendations, the solution enables faster decisions without compromising governance or profitability.
CAPABILITIES APPLIED
See how Agentic AI can transform complex business decisions.