SYSTEMS OPERATIONAL

Revenue Prediction That Ships

AI systems that tell you which deals close. Not which ones you hope will. Built by someone who closed the deals, not just analyzed them.

/01
91%
Lead Qualification Accuracy
/02
10M+
Decisions Automated Monthly
/03
16
Active Production Systems
/04
<200ms
Average Response Time
Noel Pena
FOUNDER & CHIEF AI ARCHITECT
Chief Data and AI Officer Program
University of Michigan
BACKGROUND

15 years enterprise B2B sales. Serial entrepreneur and advisor.

SPECIALIZATIONS
Revenue PredictionML Pipeline ScoringDMN GovernanceSales Automation

Why Most "AI" Fails

Companies bolt GPT onto their CRM and call it "AI transformation." That's prompt engineering with extra steps. Not prediction.

requirements.spec
├─
Leads qualified automatically, 24/7
└─Not manual review bottlenecks
├─
Decisions made in milliseconds
└─Not days of back and forth
├─
Systems that learn and improve
└─Not static rules that break
└─
Infrastructure you own
└─Not vendor lock in

Deployed Systems

Production systems generating revenue. Technical details under NDA.

Franchise Lead Operations

PROPRIETARY
Fitness & Franchising
  • Automated lead scoring and qualification
  • Territory availability validation
  • ROI projections for $40k to $60k deals
  • Intelligent nurture sequencing
  • Full pipeline automation
Implementation Details:
[REDACTED]
[REDACTED]
Results
$120k to $600k projected Y1 revenue

Inbound Lead Automation

PROPRIETARY
B2B SaaS
  • Instant scoring on form submission
  • Automated data enrichment
  • Intent based prioritization
  • Intelligent routing to sales or nurture
Implementation Details:
[REDACTED]
[REDACTED]
Results
10x faster response, 40% conversion increase

Conversational AI Platform

PROPRIETARY
Multi Industry
  • Context aware chat agents
  • Qualification during conversation
  • Direct handoff to sales team
  • 24/7 availability with human escalation
Implementation Details:
[REDACTED]
[REDACTED]
Results
2.3x conversion rate vs generic chatbots

Speed to Lead Engine

PROPRIETARY
Home Services
  • Sub 60 second response times
  • Multi channel outreach automation
  • Intelligent follow up sequencing
  • Calendar integration and booking
Implementation Details:
[REDACTED]
[REDACTED]
Results
4.2x contact rate improvement

The Build

6 to 12 weeks from kickoff to production. No slides. Systems that ship.

01

Discovery

Map your revenue process and data sources

02

Architecture

Design prediction engine for your patterns

03

Build

Deploy ML scoring and automation

04

Launch

Go live with monitoring and feedback loops

Replace Hope With Prediction

45 minute technical walkthrough. No slides, no pitch. Architecture discussion about your revenue operations.

or email directly: noel@drivebrandgrowth.com