Dallas Andrews

I build GTM systems with AI.

Sr. Enterprise BDR at a healthcare CX platform, 2024-present. Everything below was built in the past 12 months using AI development tools, while carrying a full enterprise sales quota and hitting 150%. All of it is in production.

150%
Quota Q1 2026
50+
Exec Meetings
$2.2M+
Pipeline Built
42
CRM Features
28+
AI Tools Shipped
5
Teams Using It

See the Work

Sanitized views of systems I built and use daily. Real interfaces, sample data. Live demos on request.

CRM / Account Execution Queue
Execution Queue
Pipeline View
Import Intelligence
Activity Report
Committee Maps
Account Next Action Priority Status
Cascade Health Partners Day 3: LinkedIn to CIO P1: Signal Active
National Benefits Corp Day 7: Call VP Digital P1: Signal Active
Pacific Care Group Day 1: Email to CMO P2: Ready Queued
Summit Insurance Day 5: Voice note to COO P2: Ready Active
Meridian Health Plan Discovery prep pending P3: Watch Prep

Custom CRM with per-account execution queues, priority scoring, and keyboard navigation. 42 features.

Pipeline Intelligence / Portfolio Health
23
Active Opps
$4.1M
Pipeline Value
34d
Avg Velocity
7
Need Action
Won Active Stalled

Live pipeline dashboard with prescriptive actions, deal velocity, and stage health. Used in weekly leadership reviews.

Outbound Engine / 10-Day Sequence (Sample Account)
JR
Jane Reynolds CIO, Tier 1 Champion
D1 LI View
D2 LI Note
D3 Call VM
D4
D5
D6 LI DM
D7 Call
D8 Voice
D9 LI Eng
D10 Call
MT
Mark Torres VP Digital, Economic Buyer
D1
D2
D3 LI Note
D4 Call
D5
D6 Voice
D7
D8 LI DM
D9 Call
D10
AI-Generated Copy
Day 2 Email to Mark Torres, VP Digital
Mark, noticed the vendor consolidation push in your last earnings call. Most teams try to solve that with procurement. One VP Digital I spoke with took a different route and cut 3 platforms in 90 days. Worth 15 minutes this week?

10-day multi-channel sequence with AI-generated, persona-calibrated copy per contact. Staggered entry across buying committees.

What I Built

While hitting 150% quota, I built the GTM infrastructure that did not exist.

Custom CRM 2025-2026

Existing CRMs did not fit how enterprise outbound actually works, so I built one from scratch. 42 features, written in code using AI development tools, designed around how sellers actually manage multi-account prospecting.

Account execution queues with priority scoring
Keyboard-driven workflows built for speed
Pipeline visualization in real time
Import intelligence that cross-references on load
Automated activity reporting weekly
70+ accounts managed with full committee maps

Salesforce Integration + Pipeline Intelligence 2025-2026

Connected Salesforce to a live analytics layer that gives leadership real-time visibility into pipeline health, deal patterns, and territory coverage. Not a dashboard someone looks at once. A system that surfaces what needs attention and tells you what to do about it.

Cross-deal pattern analysis across full pipeline
Pipeline health dashboard with prescriptive actions
Territory coverage model with whitespace mapping
Deal economics engine per opportunity
Per-rep dashboards pulling Calendar, Slack, Gmail
Sales leadership uses it in weekly pipeline reviews

Automated Account Research + Prioritization 2025-2026

Built the system that tells sellers which accounts to focus on and why. Scans all target accounts daily, detects trigger events, and generates prioritized action lists with ready-to-send outreach.

Daily trigger scanning for M&A, leadership, regulatory
Priority 1-4 ranking based on signal strength
Outbound generation within 24 hours of signal
5-tier buying committees mapped per account
8-16 contacts per account with engagement tracking
Pre-call discovery prep auto-generated per meeting

Outbound Sequencing Engine 2025-2026

Designed 10-day multi-channel cadences that generate persona-calibrated outreach for every contact in a buying committee. Email, LinkedIn, phone, and voice note copy, staggered across the committee so no two people get the same touch on the same day.

10-day cadences across 4 channels
Persona-calibrated copy per contact
Staggered entry schedules across committees
Cold call scripts with objection handling

GTM Tech Stack + Distribution Architecture 2025-2026

Built the connective tissue between tools. Designed a plugin architecture so GTM systems update once and push to every team. No manual setup, no version drift, no one running an old version of the playbook.

Salesforce, Calendar, Slack, Gmail connected
Plugin distribution to all teams automatically
Verified Metrics Repository with citation rules
5 departments adopted without a formal rollout

Seller Operating Systems 2026

Built individualized operating systems for enterprise sellers. Each one pulls live data from their calendar, email, Slack, and Salesforce and shows them exactly what needs attention, what the next action is, and where each deal stands.

Deal Command Centers for enterprise AEs
Closing Accelerators for late-stage deals
Account Manager OS with health scoring
QBR packages with buying committee intelligence

Tools I Use

What I build with and what I sell with.

AI Development

Claude Code (daily driver), AI-assisted code generation, prompt engineering, skill and plugin architecture

CRM + Sales Tech

Salesforce, custom CRM, HubSpot, ZoomInfo, LinkedIn Sales Navigator, Apollo

Automation

Multi-system integrations, automated sequencing, trigger-event monitoring, data enrichment pipelines

Code + Data

JavaScript, Node.js, Python, API integrations, JSON data systems, PDF and DOCX generation

GTM Frameworks

MEDDPICC, pipeline analytics, territory modeling, deal economics, buying committee mapping

Collaboration

Google Workspace, Slack, Notion, Gong, Coda

Verticals

Healthcare Insurance Enterprise SaaS Compliance Health Plans

Want to talk?

I am looking for a company where building GTM infrastructure with AI is the job, not a side project. If that is what you are building, I would love to hear about it.

Also available for fractional engagements (15-20 hrs/week, enterprise outbound).