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.
Last updated June 2026
The Problem
What revenue teams deal with before AI Agents
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.
What AI Agents Does
Four capabilities, one unified workflow
Deal Execution
Monitors deal health, flags risks, suggests next actions, and triggers automated workflows to re-engage stalled opportunities. Your always-on deal manager.
See it in action- Deal health monitored 24/7 based on engagement signals and call data
- Risk flags raised when deals show stall patterns or go quiet
- Next-best-action recommendations generated per deal stage
- Automated re-engagement sequences triggered for stalled opportunities
- Deal summary and risk status visible in a single manager dashboard
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.
See it in action- Natural language queries answered from your full call and deal history
- Cross-pipeline searches: 'Show me all MEDDIC gaps in Q2 deals'
- Trend questions: 'Which objections are increasing this quarter?'
- Deal-specific deep dives: 'Summarize all calls on Acme Corp'
- Exportable insights for board decks, QBRs, and team reviews
Outbound Agent
Uses conversation intelligence to identify expansion opportunities, craft personalized outreach, and prioritize accounts based on buying signals detected in calls.
See it in action- Expansion signals identified from support calls and renewal conversations
- Upsell and cross-sell opportunities surfaced with supporting evidence
- Personalized outreach drafted using specific context from past conversations
- Account prioritization ranked by buying signal strength
- Handoff to AE with full context brief for the outreach conversation
Coaching Agent
Provides automatic feedback after every call. Identifies specific moments for improvement and connects reps to relevant best practice examples.
See it in action- Private coaching note delivered to the rep after every call
- Objection handling feedback based on detected customer objections
- Competitor mentions flagged with relevant battle card content
- Post-call feedback delivered within 5 minutes with specific timestamps
- Best practice clips from team top performers recommended by context
How It Works
From first call to closed deal - automated
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.
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.
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.
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 Your Entire Revenue Team
Different roles, shared wins
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.
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 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
What revenue teams see after deploying AI Agents
Enterprise-grade security
SOC 2 Type II certified, GDPR compliant, encryption at rest and in transit, SSO/SAML support, data residency options available.
Explore the Full Platform
Call Intelligence
The call data that agents use to monitor deals, detect signals, and provide coaching.
Learn moreCRM Automation
Agents write back to your CRM automatically, keeping deal records current without rep involvement.
Learn moreAI Coaching
The Coaching Agent is one of four AI agents - explore the full coaching capability here.
Learn moreFrequently Asked Questions
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 how Airspeed works in your workflow
Join revenue teams at Foleon, Qdrant, and PriceFX who automated their sales execution with Airspeed.