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Скачать или смотреть Inside an AI-Native CRM: 10,000 Agents, One Unified Data Model

  • The AI Report with Liam Lawson
  • 2025-12-18
  • 1464
Inside an AI-Native CRM: 10,000 Agents, One Unified Data Model
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Описание к видео Inside an AI-Native CRM: 10,000 Agents, One Unified Data Model

Try Aurasell Today — https://www.aurasell.ai/

Jason Eubanks on Building Auraselll: Raising $30M in 28 Hours to Disrupt the $236B Go-To-Market Tooling Market with AI-Native Sales Automation

Jason Eubanks, CEO and Co-founder of Aurasell, discusses how the company raised $30 million in just 28 hours—oversubscribed at $40 million—by solving a critical problem in the go-to-market industry. With a $236 billion market opportunity and only a "desert of innovation" since the late 1990s, Aurasell is building an AI-native platform to intelligently automate sales workflows and consolidate the 12-15 fragmented tools that plague modern sales teams. Jason shares how his experience scaling revenue from $1M to $100M+ across five startups—including Twilio (IPO), Meraki (acquired by Cisco for $1.2B), and Harness—directly informed the founding vision of Aurasell

Episode Timestamps

00:00 - Introduction and Jason Eubanks joins the podcast
00:26 - Why Aurasell raised $30M in 28 hours despite initial $40M oversubscription
01:24 - The "desert of innovation" in go-to-market tooling since the late 90s
01:42 - History of CRM evolution from mainframe to cloud to niche products
03:12 - Founding vision: One intelligent GTM sales platform to replace them all
03:39 - How pain as a CRO across five startups led to Aurasell creation
05:58 - The X-Ray productivity assessment revealing tool sprawl inefficiencies
07:59 - Sellers spending 28% of time selling and 70% on manual tasks
09:03 - First principles AI-native approach with whiteboards in the kitchen
09:29 - Five key personas: SDR, seller, IC manager, executive, ops team
12:18 - AI-native architecture: multimodal interface, lakehouse, and 10,000 agents
14:39 - Unified data model importance for contextualized AI automation
15:45 - Current hat wearing: product focus and 50% building go-to-market engine
18:43 - Platform features and customer experience design philosophy
19:05 - Three wow moments per persona as success metric
20:39 - Onboarding experience: automatic territory building and customer choice
21:40 - 10,000 agents discovering ICP, personas, and competitors automatically
24:07 - Automated account research and value hypothesis creation
25:34 - Outbound prospecting content generation with propensity scoring
26:32 - Outbound sequencer integration and email platform plugins
27:00 - AI voice dialer coming in three weeks with closed-loop automation
28:47 - What's missing: deep marketing and customer success automation
30:49 - Ideal customer profiles: startups and enterprises with tool sprawl
31:30 - Solution for heavily customized legacy systems coming in December
34:24 - Dynamic change detection layer solving technical debt
36:23 - Jason's career arc from BMC Software through Harness
37:09 - Why: helping go-to-market operators solve problems he experienced
39:55 - Meraki's disruptive cloud-managed network architecture
41:51 - Three constants: great product builders, important problems, massive markets
43:22 - Intrinsic motivation as foundation for hiring and culture
45:31 - Hiring from first job onward to assess character and values
51:24 - Understanding why someone wanted to work at 14 years old
53:21 - Importance of formative years for work ethic and intelligence
55:46 - AI adoption culture: using own product and building agents internally
56:36 - All employees use AI daily across PMs, engineers, and operations
59:25 - Ask AI features: analytics dashboards, data enrichment, natural language
01:00:24 - AI automation as default, not chat interactions as primary design
01:01:22 - Why do you do what you do: responsibility to participate in value creation
01:02:35 - Building satisfaction similar to father's carpentry work
01:05:39 - How to connect with Jason on LinkedIn

Resources Mentioned

Databricks (lakehouse architecture component)
Iceberg (data architecture)
Marketo (example of legacy platform)
Salesforce (legacy CRM)
HubSpot (legacy CRM)
Microsoft and Gmail (email platform integrations)
Conversation Intelligence (built into platform)
RAG (Retrieval-Augmented Generation for AI automation)

Partner Links

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Hashtags

#Aurasell #AIAgents #SalesAutomation #GoToMarket #CRM #SalesIntelligence #AILeadership #SalesOps #EnterpriseSoftware #ProductivityTools #CRMAlternative #AINative #SalesForce #GTMStrategy #CustomerExperience

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