ASPR AI Sales Assistant
ASPR is an AI sales assistant for account executives, sales managers, and customer-success teams. Its official product page describes specialized agents for work around a sales conversation: preparing for the meeting, recording its outcomes, updating the CRM, and drafting follow-up material. The same product also includes coaching and access to knowledge held in sales records.
Preparing for and following up on meetings
The pre-meeting agent reviews external news, intent signals, past wins, and organizational knowledge to produce agendas, discovery questions, risks, and talking points. The post-meeting agent drafts follow-ups and captures action items. It also summarizes sentiment, identifies next steps, and organizes tasks after a call.
For conversations that happen in person or are not recorded, ASPR lists an Offline Meeting Note Taker Agent. The publisher describes it as structuring decisions, risks, action items, and next steps. Those functions sit alongside document generation for account summaries, deal briefings, case studies, and business reviews.
Updating records and retrieving sales knowledge
The CRM agent updates notes, timelines, next steps, opportunity fields, contact roles, qualification criteria, and deal risks. The homepage specifically describes Salesforce updates in its selling workflow, along with follow-up drafts based on calls and emails.
ASPR's knowledge agent retrieves information from transcripts, CRM records, emails, and documents. The publisher says it delivers deal, product, and pricing intelligence inside Slack or Teams. A separate inbound seller agent captures intent, asks qualification questions, and routes prospects to a representative. An email agent addresses prospect or customer messages and routes requests.
Coaching, training, and purchasing
Personalized coaching covers discovery, objection handling, value articulation, and closing, with an adaptive 30-60-90-day learning plan. The Training Podcast Agent creates short episodes based on calls and areas for improvement; users can also interact with AI podcasters or convert static material into training podcasts.
The pricing page presents two commercial approaches: a per-active-user monthly model and an outcome-based “pay as you win” model with unlimited users. It lists meeting automation, sales document automation, coaching, knowledge search, and CRM synchronization under both. The captured page gives no numerical rate for either approach, so a team needs a quote to compare them against its expected usage.