Why Human AI is Collapsing
Traditional Go-To-Market Strategies
In Richardson’s Marketing report, one statistic leapt offthe page: 65% of sales organizations are struggling to retain their teams, and only 10% of sales agents consistently meet or exceed quota. We dug deeper. The average GTM program relies on a sprawling tech stack, with 12 to 25 automated touchpoints before the business gets to selling. Something is broken.
Over-Engineered Automated Tech Stack
Problem: Outdrawn automation processes that last several
weeks before businesses get to the sale
AIRPEC™ - Adaptive Intelligence Remote Performance Engine Core
Patent pending technology with API that allows outreach campaigns to morph into human like Avatar that delivers instant sales presentation to audiences who engage with business outreach campaigns
Breakthrough Differentiator
Prospect Fatigue
Problem: Audiences are bombarded with automated emails, scripted calls, and retargeted ads leads to ignored outreach communications.
Instant Engagement with Sales Presentation
Outreach campaigns, including emails, SMS, Advertising, Social media posts morphs into a Human AI, trained on natural language understanding with empathy delivers instant human-like engagement and sales presentation.
Users experience expert-like presentation.
Lost Opportunities
Problem: - Lengthy nurturing cycles mean prospects who are ready to buy immediately often slip away. Eventual late conversion sacrifices speed and agility in the sales process
Day One Engagement
Human AI connects with prospects the moment they respond to an outreach campaign. Accelerating the sales process. No waiting, no funnels — just instant conversation that feels human and empathetic with full sales cycle: introduction, presentation, discovery, solution matching, objection handling, and closing
Over-extended Intent and ICP detection
Problem:- 12-25 tech stack enabled touchpoints in search of intent and ICP. The “signal” of genuine interest gets lost in the “noise” of repetitive automation.
PProblem
Intent and ICP Detection, Discovery Conversation

