This week, OpenAI announced a major expansion of Codex with six new role-specific plugins for knowledge workers across sales, analytics, creative production, product design, and finance. HG Insights is part of that launch.
The HG Insights MCP is now live inside Codex, giving sales teams direct access to HG Revenue Growth Intelligence Fabric (RGI Fabric), our verified layer of technographic, spend, and buyer intent intelligence, inside the workflows where they already operate.
This is a big deal and here is why.
The agent problem
The AI sales play conversation has been dominated by a specific kind of excitement with agents that prospect, draft, sequence, and follow up at scale. The productivity impact is promising but there’s a version of this that doesn’t work, and it’s the one where agents run fast on bad data and context.
An AI agent composing outreach without knowing what technology a prospect actually runs, what they’re spending on it, or whether they’re actively evaluating alternatives, is amplifying noise and may run faster but faster doesn’t mean better. And in a world where every rep has access to the same AI tools, what produces good conversion is not the speed but the quality of the intelligence you operate on.
That’s the problem HG Insights solves. We verify what technology companies are running, how much they’re spending, and whether that’s changing. That’s not a data hygiene exercise. It’s the context that makes an agent’s output worth reading.
What you can do with it
Through the HG Insights MCP, Codex users get access to a GTM workflow library of 15+ pre-built workflows that run on RGI Fabric data and are built around the moments that matter in a sales cycle.
Walk into a call with an account research brief that maps a prospect’s technology footprint, spend signals, and intent activity. Run a pre-call brief that pulls what changed since your last touchpoint. Generate a competitive battle card on the fly. Build a demand gen and pipeline plan grounded in actual market data, not assumptions. Identify which accounts are showing momentum decline before they go dark.
These aren’t generic AI outputs. They’re grounded in what RGI Fabric knows about a company’s technology environment, and that’s what makes them useful rather than just fast.
You can browse the full workflow library here: GTM Workflow Marketplace
Where the market is going
OpenAI’s announcement this week says something worth paying attention to: 20% of Codex’s five million weekly users are now knowledge workers, not developers, and that segment is growing three times faster than the developer base. Codex is moving from a tool engineers use to infrastructure that every professional works inside.
That shift has an implication the market is still catching up to. The quality of an agent’s output depends on the data it can access. As Codex becomes the operating environment for sales workflows, the data layer becomes the differentiator. Not the model, not the interface. The context.
That’s why we built the MCP, and why being in this stack from day one matters.
Try it
The HG Insights MCP is live in Codex now. Connect it and see what your pipeline looks like when the agents actually know what they’re talking about.
Author
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Francis Brero is the VP of AI Strategy at HG Insights, where he leads the company’s AI-native transformation across both product and operations. He brings 15 years of expertise across AI, data science, and product strategy to his role, where he drives how agentic workflows, unified GTM data, and machine intelligence are embedded into HG’s platform while helping internal teams adopt AI-first ways of working.
Previously, Francis co-founded MadKudu and built the production AI systems used by leading B2B revenue organizations worldwide. He is known for pairing strategic vision with hands-on execution to create AI solutions that deliver measurable productivity



