AI Agents for Every Stage
of Your Sales Process

You have two paths. You can build agents from scratch on a general-purpose framework - wiring up the model, tools, CRM permissions, memory, and guardrails yourself - or you can use a go-to-market-native platform that ships them pre-built. Airspeed takes the second path: it gives you 27 production-ready AI agents for revenue teams, each already connected to your call data and CRM, so you configure outcomes instead of engineering infrastructure. The agents run automatically after every call, meeting, and deal-stage change.

The most useful AI agents for revenue teams map to where commercial work actually breaks: deal scoring and pipeline inspection, CRM sync and data hygiene, call follow-up and prep-sheet generation, coaching, and forecasting. Airspeed's directory covers 35 agents across the full B2B funnel, from prospecting and discovery through negotiation, closing, and account management.

A chatbot or copilot answers when you ask it something. An agent decides what to do and then does it - updating the CRM, drafting the follow-up email, flagging a deal at risk - within scoped permissions and with an audit trail. That difference is why AI agents for go-to-market need a harness built for the stakes of commercial work, not just a model with a chat box bolted on.

Yes. Beyond the pre-built directory, Airspeed agents adapt to your sales methodology, your scorecards, and your custom CRM fields - so a coaching agent grades against your framework and a CRM-sync agent writes to the fields your team actually uses, without custom engineering.

Yes - this is core to Airspeed. Agents write structured outputs directly into Salesforce or HubSpot, including custom fields, after every call. That keeps deal data accurate, improves CRM hygiene, and removes most of the manual data entry reps would otherwise do by hand.