I put AI agentsto work.
I design and ship governed, production-grade agentic workflows for revenue organizations. Not demos. Not proofs of concept. Measurable systems deployed at $250M ARR scale.
$250M
ARR org scope
13+
AI agents shipped to production
1,200+
Accounts scored & prioritized
15
Person team led & developed
Selected Work
Proof of execution across discovery, architecture, and delivery.
Each project framed by problem, implementation, and operational result.
Transition Readiness Agent
CSMs inherited accounts with no compiled context after onboarding handoff.
Built: Built a Glean Agent synthesizing 8+ systems — Salesforce, Gong, Totango, Provisio, Zendesk, Gmail, Drive, Slack — into a ready-made transition package with CSM talking points.
Result → CSMs get full customer intelligence compiled automatically, no manual reconstruction needed.
Phase
Discover → Deliver
Scale
1,200+ accounts
Result
One agent, full picture
REACH Scoring Agent
Account prioritization depended on gut feel — no standardized scoring across 1,200+ accounts.
Built: Built a Glean Agent scoring accounts on a 90-day cadence and key events, with Slack notifications, human review, and one-click Totango import with historical tracking.
Result: CSMs get scored accounts delivered to Slack, review in Glean, and push confirmed scores to Totango in one click.
Phase
Design
Scale
$250M ARR
Result
One-click Totango sync
CSM Assignment Engine
Assigning accounts purely on headcount count creates hidden imbalance — a $50K single-product account and a $500K five-product account are treated identically, overloading CSMs with lower headcount but higher complexity.
Built: Designed a Constrained Greedy Heuristic that evaluates four dimensions (Volume 35%, ARR 25%, Renewal Balance 25%, Portfolio Risk 15%) with dynamic capacity re-calculation. Includes the Bouncer pattern for white-glove Enterprise handling, ARR anchoring (vs TCV) to avoid renewal penalties, and a New Hire Magnet for accelerated ramp.
Result: Dynamic, complexity-weighted assignment replacing manual spreadsheet passes — 1,200+ accounts balanced across the team with zero manual reconciliation cycles.
Phase
Design → Deliver → Govern
Scale
1,200+ accounts
Result
4-dimension dynamic balancing
End-to-end system delivery.
From discovery through deployment — governed, measured, and operational.
Surface real constraints
Stakeholder interviews, system audits, and data inventory — identifying what's actually broken before proposing architecture.
Design governed flows
Information architecture, workflow design, and quality gates — systems that enforce constraints without blocking progress.
Route with precision
Task distribution, load balancing, and failure handling — getting work to the right system at the right time.
Enforce policy gates
Compliance checks, validation layers, and audit trails — building trust through transparency, not friction.
Measure what matters
Telemetry, success metrics, and feedback loops — knowing what's working because you're watching, not guessing.
Deploy with confidence
Rollout strategies, rollback paths, and operational handoff — shipping is the start, not the finish line.
AI systems that ship — not demos.
Production-grade agentic workflows, architecture, and governance for revenue organizations. If you need someone who has actually deployed at scale, let's talk.