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AgentScore

AI in sales.

Evaluate lead qualification, outreach, and follow-up against the opportunities they create.

Example workflow
  1. 1

    Source

    Lead enters pipeline

  2. 2

    Agent activity

    Qualification & follow-up

  3. 3

    Review

    Meeting outcome reviewed

Available source
HubSpot token connection; CSV / API
Measurement
Agent performance and implementation maturity

Where agents work.

SDR / AE assist
Drafts outbound messages, summarizes call notes, and surfaces next steps within HubSpot, Salesforce, or Outreach.
Lead qualification
Routes inbound leads, scores them against the ICP, and books meetings before human contact.
Voice follow-up
Voice agents follow up on no-shows, qualify warm leads, and recover stalled cycles.
Sequence orchestrator
Manages multi-touch outbound sequences, triggering on CRM events and pausing when a human takes over.
Account research
Generates pre-call briefs, refreshes account intelligence, and surfaces buying signals.

What to measure.

Response time
Time from CRM trigger or inbound to agent action.
Human override rate
Frequency of SDR or AE replacement of agent output.
Meeting-book rate
Conversations the agent converts to booked meetings.
Pipeline contribution
Pipeline created or advanced with agent assistance.
Close-won attribution
Closed-won revenue traceable to agent-touched cycles.

Measurement depends on your source records and mapping. These are signals to evaluate, not automatically collected metrics.

Source coverage and outcome attribution depend on the records you provide.

Review setup options

Evaluate your workflow.

We’ll review your source data and agree what to measure.

Discuss your workflow