Notes from the Helix team
Practical notes on AI GTM operations, audits, signals, and content systems. We run Helix on Helix first - what works ends up here.
Forbes Councils reports that data foundation problems kill most enterprise AI GTM deployments before launch. SMBs can fix this faster. Here's how.
Read the noteA practical framework for SMBs to implement GTM AI that handles repetitive work so your team can focus on relationships.
Stop waiting for end-of-quarter post-mortems. Live GTM analysis catches slippage early so you can fix messaging before the pipeline dries up.
Static rules miss opportunities. Agentic email automation adapts in real time to what prospects actually do, not what you predicted they would do.
Encode your operator rules into agents for an autonomous GTM motion. Let AI handle the pipeline volume while your people keep the closing and judgment.
A practical framework where AI agents handle high-volume GTM execution while humans focus on exceptions and strategy. Here's how SMBs can structure their revenue teams around this model.
Landbase shows how autonomous agents run campaigns 24/7. SMBs can now scale GTM without scaling headcount.
Actively's AI agents monitor signals, prioritize accounts, and draft outreach before you open your laptop. Here's what that means for SMB go-to-market teams.
Demandbase recently outlined critical mistakes companies make with AI agents in GTM. Here is what SMB operators should actually watch for before deploying.
A practical playbook for SMBs to build an agentic AI GTM strategy, starting with one workflow instead of a platform.
Treating AI ethics as a philosophy exercise is a mistake. For SMBs, transparent and fair AI marketing operations are the only way to avoid costly privacy violations and customer churn.
AI GTM Engineers don't just prompt models. They wire AI into your CRM, engagement tools, and analytics so your revenue stack actually runs itself.