Airspeed platform

Autonomous agents that work your pipeline around the clock

Airspeed AI Agents monitor deals, answer pipeline questions in plain language, identify expansion opportunities, and coach reps after every call. Your revenue team - without the overhead.

  • Deal Execution
  • Insights Agent
  • Outbound Agent

A 30-minute demo and expert Q&A.

Airspeed on G2
4.9

out of 5 · across verified G2 reviews

Where revenue teams get stuck

Reps manage 30+ deals manually

Tracking deal status, next steps, and stakeholder engagement across a large pipeline is cognitively overwhelming. Important signals get missed because there is simply too much to monitor.

Stalled deals slip through the cracks

Without automated monitoring, deals go quiet for weeks before anyone notices. By the time a manager flags a stalled deal in a pipeline review, the opportunity may already be lost.

Pipeline reviews are backward-looking

Weekly pipeline reviews summarize what already happened. They rarely surface what needs to happen next or which deals are at risk right now - when there is still time to act.

Why revenue teams run on Airspeed

Insights become decisions

Airspeed reads the whole conversation, not just keywords, and turns it into structured deal and revenue intelligence. You see which deals are real and which are quietly slipping.

Airspeed deal board with qualification scoring, weighted pipeline, and deal health on every card

AI agents do the busywork

The recap, the CRM update, the follow-up draft. Airspeed's agents run the post-call work in minutes, so your reps stay in the deal instead of the data entry.

Airspeed agent detecting a champion change, updating Salesforce, and drafting outreach automatically

Coaching on every call

Every rep scored on every call, automatically, against the moments that actually win deals. No manager staying late to review recordings.

Airspeed coaching scorecard with coachable moments and a delivered coaching plan

Your CRM fills itself

Fields, notes and next steps written back to Salesforce or HubSpot after every call, with dynamic mapping to your own fields.

Airspeed deals table with auto-filled stages, close probabilities, and AI deal summaries

Forecasts built on what buyers actually said

Every deal gets an AI close probability grounded in the calls themselves, rolled up into team forecasts you can defend. Commit, best case, and pipeline in one live view.

Airspeed forecasting dashboard with commit, best case, and pipeline rollups and a live deal view

What AI Agents does

Deal Execution

Monitors deal health, flags risks, suggests next actions, and triggers automated workflows to re-engage stalled opportunities. Your always-on deal manager.

Insights Agent

Answers questions about your pipeline in natural language. 'Which deals mentioned competitor X?' 'What objections came up most this month?' Instant answers from your conversation data.

Outbound Agent

Uses conversation intelligence to identify expansion opportunities, craft personalized outreach, and prioritize accounts based on buying signals detected in calls.

Coaching Agent

Provides automatic feedback after every call. Identifies specific moments for improvement and connects reps to relevant best practice examples.

How it works

1

Agents connect to your call and CRM data

Airspeed Agents have access to every call transcript, CRM record, and deal activity logged through the platform. No separate integration required.

2

Continuous deal monitoring and signal detection

The Deal Execution Agent monitors all active opportunities around the clock, applying configured rules to detect risk signals, stall patterns, and advancement opportunities.

3

Recommendations and actions surfaced proactively

Rather than waiting for pipeline reviews, agents push relevant recommendations to reps and managers in real time - next actions, risk alerts, and expansion opportunities.

4

Automated workflows triggered by deal signals

Configured workflows can execute automatically - re-engagement sequences for stalled deals, CRM field updates, manager escalations, and coaching moments delivered in the flow of work.

Built for the whole revenue team

RevOps

Revenue Operations Manager

  • Automated deal monitoring removes the need for manual pipeline inspection
  • Proactive pipeline management based on signals, not gut feel
  • Data-driven prioritization of which deals need attention this week
  • Automated workflows triggered by deal signals reduce manager workload

Pipeline review becomes proactive and signal-driven instead of reactive and manual.

CRO/VP Sales

Chief Revenue Officer / VP Sales

  • Deals that move forward autonomously with fewer manager touchpoints
  • Reduced pipeline risk as stalled deals are flagged and re-engaged automatically
  • Expansion revenue identified from existing accounts without additional headcount
  • Leadership questions answered in seconds from conversation data

Revenue execution happens continuously - not just during weekly pipeline reviews.

Sales Enablement

Sales Enablement Lead

  • Always-on coaching that reinforces training between formal sessions
  • Scalable rep development without increasing manager coaching hours
  • Feedback after every call that changes behavior by the next call, not a week later
  • Coaching impact measured from deal outcomes and scorecard trends

Coaching becomes continuous and automatic, not event-driven and inconsistent.

Real results

24/7 Deal monitoring
50% Fewer stalled deals
Instant Pipeline answers
0 Manual workflow steps

What customers say

"One of the growth managers spun around in her chair and said: it's the best. It sends me a Slack update right before I sit down with a customer. I don't have time to do research and prep. This does it already. I don't have to train it."

Sarah Madden, Head of RevOps, Fermat Commerce

Enterprise-grade security. SOC 2 Type II certified, GDPR compliant, encryption at rest and in transit, SSO/SAML support, data residency options available.

Book a demo.
See it in action.

See AI Agents run on your own calls and pipeline.

What actions can AI Agents take autonomously vs. requiring human approval?

By default, agents recommend actions and draft outputs for human review. Autonomous actions - like triggering email sequences or updating CRM fields - can be enabled per workflow with configurable approval thresholds. Full audit logs are maintained for every agent action.

How does the Insights Agent access pipeline data?

The Insights Agent queries Airspeed's unified data layer, which includes all call transcripts, CRM data synced from Salesforce or HubSpot, and deal activity history. No separate data export or ETL pipeline is required - the agent has access to everything Airspeed captures.

Can agents be customized for our specific sales process?

Yes. Agent behaviors are configurable. You can set the deal stages at which risk flags trigger, the criteria used to identify expansion signals, the escalation rules for stalled deals, and the coaching criteria the Coaching Agent applies. Configuration is done through the Airspeed admin interface.

Does the Coaching Agent work in real time during calls?

No - the Coaching Agent works around the call, not during it. Reps receive a private coaching note within minutes of every call, covering objection handling, competitor mentions, talk patterns, and missed opportunities, and can practice with AI role-play before live conversations.

How does the Outbound Agent identify expansion opportunities?

The Outbound Agent analyses conversations from customer success calls, renewal discussions, and support interactions for signals like feature requests, team growth mentions, and new use case exploration. It correlates these signals with account data to score expansion likelihood and draft personalized outreach.

See Airspeed in action

A 30-minute demo and expert Q&A.