If your GTM engine depends on heroics, it isn’t built yet.

I design and ship the infrastructure layer that makes execution consistent, measurable, and compounding.

When GTM Infrastructure is Missing

  • It’s hard to tell how “real” pipeline actually is
  • Playbooks exist, but rules aren’t enforced
  • Routing depends on who sees the signal
  • High-intent accounts slip because actions aren’t deterministic
  • Signals are siloed inside tools (CRM, ads, enrichment, engagement), but nothing ties them together
  • CRM fields get updated to keep reporting clean, not to drive action
  • Learning never gets compounded
  • Outbound, ads, and sales operate in parallel – not as a system

The Systems

Signal → State → Action → Feedback

Signals stop floating between tools and start driving action.

Deterministic Signal Routing Engine

A unified signal ingestion and routing layer that enforces deterministic next steps across inbound, outbound, and lifecycle motion.

  • Reduced lead response lag by 30-50%
  • Eliminated manual Slack-based routing decisions
  • Standardized lead state transitions across teams
  • Increased follow-up consistency on high-intent accounts
  • Clear visibility into what triggered each routing action
  • Replaced reactive prioritization with enforced logic

Autonomous Ads Ops

A deterministic rules engine with budget reallocation based on defined thresholds, automated pause/scale logic, and a comprehensive audit trail.

  • Reduced manual review time by half each week
  • Response to performance swings in minutes to hours instead of weekly cycles
  • Eliminated inconsistent “gut-based” budget shifts
  • Clear traceability on what rule triggered what change
  • Compounding learning across campaigns

Relationship Intelligence System

Explicit relationship state transitions, momentum scoring tied to real engagement, and triggered CRM updates with deterministic follow-up logic.

  • Increased follow up consistency across high-value accounts
  • Surfaced stalled deals 1-2 weeks earlier on average
  • Reduced reliance on memory and manual reminders
  • Clear visibility into relationship momentum
  • Standardized relationship movement definitions

ICP Reality Engine

Closed-loop ICP scoring based on real closed-won data, segment-level performance comparison, and feedback from revenue outcomes back into targeting logic.

  • Identified 20-30% of spend targeting low-converting segments
  • Improved alignment between ads, outbound, and sales targeting
  • Clear segmentation grounded in revenue truth, not slide decks
  • Continuous refinement vs quarterly revisiting

Revenue Control Plane Demo Coming Soon

Revenue Control Plane

A capital allocation and growth modeling layer connecting acquisition cost, LTV, churn, and pipeline state into a single control framework.

  • Channel-level capital efficiency modeling
  • Configurable degradation and churn dynamics
  • Multi-channel acquisition simulation
  • Runway visibility tied directly to pipeline health

Meet Brent Lantzy

I build the GTM infrastructure most companies try to operate without.

My work sits at the layer beneath campaigns, dashboards, and headcount – the logic that determines what happens next when a signal hits your system.

I’ve worked across revenue operations, analytics, and system design, but the consistent thread is owning the engine. Taking the judgment-heavy decisions that currently live in meetings, Slack threads, and rep intuition and encoding those into enforceable, measurable infrastructure.

I don’t sell tools. I don’t resell platforms. I design deterministic layers inside your stack. Routing logic. Optimization rules. State transitions. Things that make execution consistent and visible.

This is hands-on architecture. I map how decisions actually get made, where friction shows up, and where the logic breaks. Then I build systems that run without constant executive oversight.

The outcome is control, clear next actions, and infrastructure that compounds instead of resets.