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HG Insights Applies Agentic AI to B2B Sales

HG Insights this week added an additional context layer to its platform for sales teams working for IT vendors to reliably use artificial intelligence (AI) agents to find new opportunities and prevent existing accounts from being pilfered by rivals.

HG Insights Unveils New Intelligence Platform to Close the Context Gap in Agentic GTM

Technology intelligence provider HG Insights announced its Contextual Intelligence Platform that will function as a shared data and action layer built for agentic Go-To-Market (GTM) and Revenue Operations (RevOps). The launch addresses a nagging problem in enterprise sales and revenue operations, the inability to synthesize ready-to-use B2B technographic data to accelerate revenue workflows.

How AI Supports Sales and Marketing Collaboration, with Francis Brero

Francis Brero is the VP of AI Strategy at HG Insights, where he leads the company’s AI-native transformation across product and operations. With 15 years of experience across AI, data science, and product strategy, Francis focuses on how agentic workflows, unified GTM data, and machine intelligence can help teams work smarter and make better decisions. He previously co-founded MadKudu and built production AI systems used by leading B2B revenue organisations worldwide.

More Code Equals More Exposure

AI systems are non-deterministic; they produce different results from the same prompt each time, which makes behavior harder to predict, harder to test, and harder to trust in production. When you layer in hallucinations (AI confidently generating code that looks correct but isn’t) the risk compounds. These aren’t the kinds of bugs that show up in a code review. They’re subtle, they pass surface-level inspection, and they create vulnerabilities that are difficult to detect after the fact.

Solving AI Search Visibility for B2B Vendors With HG Insights’ New GEO and AEO Optimized Platform

According to the 2026 B2B Disconnect Report from TrustRadius, an HG Insights company, 63% of buyers used AI during research for a recent software purchase. The report also found that 83% of technology buyers shortlisted three or fewer vendors, underscoring the importance for vendors to better understand how these AI tools are influencing purchasing decisions at the moment buyers form their shortlists.