Portfolio — The Work

Built to last. Proven to deliver.

Sixteen years of enterprise CS practice across regulated industries — the outcomes, the systems, and the stories that demonstrate what it looks like when CS functions as a revenue intelligence operation rather than a relationship management department.

The Book — Portfolio at a Glance

The pattern across every engagement: distressed portfolios, mandate for growth, documented outcomes.

16+ Years Enterprise CS Experience
$8.5M Portfolio ARR Currently Managed
24 Active Enterprise Accounts
98% Logo Retention — Full CS Career
Industries
Real Estate Technology (PropTech)
Financial Technology (FinTech)
Payments (Regulated)
Enterprise SaaS
Average Account Profile
$450K ARR per account
3–5 active stakeholders
1,000+ employee organizations
$20M+ annual revenue volume
12–24 month renewal cycles
Engagement Complexity
Regulated enterprise environments
Multi-stakeholder, C-level access
Cross-functional team leadership
Distressed portfolio recovery
Executive-level consulting
Consistently assigned the portfolios other CSMs couldn't stabilize — with a mandate not just to retain them, but to grow them. The mandate has been met every time.
Featured Work — Three Stories

The outcomes that define the approach. Names anonymized. Numbers are real.

Story 01 — Executive Relationship & Commercial Recovery

Thirteen Champions Lost Overnight. One Thirty-Day Window. A Six-Figure Expansion.

Enterprise FinTech · Payments Vertical · Regulated Environment

One month from renewal, an acquisition wiped out the entire champion network overnight. Incoming leadership had a standing policy: all legacy vendor contracts were to be cancelled during the transition. Thirteen advocates — built over years — disappeared simultaneously, replaced by an executive team that had never used the product, never met the team, and had no reason to stay.

The response was not a pitch. It was an introduction — no agenda, no slides, no ask. A single call to establish presence and credibility with incoming leadership, followed immediately by a bespoke ROI brief built specifically for an audience that had never been customers. The brief was not a product brochure — it was a forward-looking business case: what the platform was worth to their specific operational model, in their language, tied to their strategic priorities.

Working through the one remaining internal contact — a mid-level operator who had no decision-making authority but still had access — the account was not just saved. It was expanded into an additional product line, converted from an annual agreement to a three-year commitment, and rebuilt from a single thread into a seventeen-person relationship network. All within the original thirty-day window.

The commercial outcome was significant. The more important outcome was structural: an account that had been a single point of failure became one of the most relationship-diversified accounts in the portfolio — and stayed that way.

Executive Relationship Building Change Management Commercial Recovery Multi-Stakeholder 30-Day Turnaround
The Numbers
$400K Contract value at risk
13 → 1 Champions lost overnight
30 days Window to close
$1.2M New contract value — 3-year commitment
1 → 17 Champions rebuilt into the relationship
Story 02 — Vertical Leadership & Market Recovery

First to Market. Last to Invest. A Vertical Rebuilt from the Inside.

PropTech · Student Housing Vertical · Cross-Functional Team of 9

The organization had been first in the Student Housing vertical — a position that had provided years of competitive insulation while the product stood still. By the time six competitors had entered the market with dedicated tooling, product enhancements, and vertical-specific support models, the response was still institutional inertia: a reputation for being first is not a product roadmap.

The engagement began without a formal mandate. As the CSM with the deepest Student Housing exposure, the gap was visible before leadership named it — clients were losing confidence, support tickets were going unresolved, and the renewal pipeline for the vertical was quietly deteriorating at roughly four accounts per year. The first move was not to escalate. It was to act: becoming the de facto SH communication triage, the internal subject matter expert, and the single point of contact for every cross-departmental question the vertical generated.

What started as an individual initiative became a formal mandate. The governance structure, client-facing processes, and internal workflows for the entire Student Housing vertical were redesigned from the ground up — and a nine-person cross-departmental team spanning five separate departments was assembled and led through the rebuild without formal authority over a single one of them.

The first year under the new structure: zero account losses in the vertical. Seven net-new Student Housing accounts added. A practice that had been bleeding quietly was converted into a growth engine — and the operating model built for it outlasted the engagement that built it.

Vertical Market Development Cross-Functional Leadership Process Architecture Competitive Response 9-Person Team · 5 Departments
The Numbers
6 Competitors entered market during neglect period
−4/yr Account loss rate before intervention
0 Accounts lost — Year 1 of rebuild
+7 Net-new SH accounts added — Year 1
9 Cross-departmental team members led
Story 03 — Signal Intelligence & Pre-emptive Recovery

First Call. Furious Client. The Signal Was Already There.

Enterprise SaaS · Distressed Account · Day-One Signal Read

The call came during orientation week — first conversation with a newly inherited account. The client was furious. Not the managed frustration of someone making a point, but the specific anger of someone who had been ignored long enough to stop believing improvement was possible. He detailed every open ticket, every unresolved issue, every instance where the previous CSM had gone quiet. Then he ended the call with an instruction: don't contact me again until something is actually fixed.

The account history confirmed what the call had already communicated. Tickets open for months. Cases marked resolved that clients had never acknowledged. A relationship that had been managed in the most literal sense — maintained at the surface, allowed to erode underneath. But beyond the operational failures, there was something more specific in the way the client had spoken: he wasn't asking for resolution. He was documenting. Every grievance was being catalogued, not aired. He wasn't trying to get help — he was building a case.

Leadership, support, and product were pulled in immediately — not because an escalation had been filed, but because the signal from a single thirty-minute call made the outcome legible: this client was not going to renew, he was going to use every unresolved issue as justification, and he was not going to signal his intent until the cancellation notice was already written.

Twenty-eight days later, the cancellation notice arrived — exactly as anticipated, and exactly as pre-positioned for. The recovery conversation was not reactive. Every concern had been addressed, documented, and framed as resolved before the client raised it. The account was saved, the relationship rebuilt, and expanded into an additional product line that solved an administrative pain point the client had never formally raised — because the signal intelligence had identified it before he had.

This is what CS Intelligence™ looks like before it has a name: reading the signal that no dashboard surfaces, acting before the data confirms what the relationship already knows, and being ready for the conversation your client is planning to have before they know you've already prepared for it.

Signal Intelligence Distressed Account Recovery CS Intelligence™ in Practice Pre-emptive Intervention Expansion from Save
The Signal
Day 1 Signal identified — first call, orientation week
Day 28 Cancellation notice arrived — as anticipated
100% Issues pre-resolved before cancellation call
Saved Account retained and relationship rebuilt
+1 Product expansion closed at recovery
CS Intelligence Suite — Applied AI Infrastructure

Designed, built, and deployed without a budget, without admin access, and concurrent with a full enterprise portfolio.

A multi-module CS Intelligence Suite taken from concept to production inside a regulated enterprise environment — replacing manual, fragmented workflows with a unified intelligence layer built specifically for enterprise CS operations. Every module is live. Every outcome is documented. The architecture is designed to scale beyond the portfolio that proved it.

Built Under These Constraints
Regulated payments environment
Zero dedicated budget
No admin system access
Compliance and shadow AI guardrails
Concurrent with 24-account portfolio management
Deployed to production on Netlify
Portfolio Intelligence Board
Real-time health, adoption, renewal, and whitespace tracking across all enterprise accounts. Replaces fragmented manual tracking with a single unified intelligence layer.
Whitespace Radar
Algorithmic upsell signal scoring — health plus documented gap plus adoption equals ranked expansion priority list. Surfaces expansion conversations before Sales-led discovery does.
CSQL Pipeline & AE Handoff
CS-originated revenue tracking with attribution logic and auto-generated structured handoff notes. The first CS revenue attribution layer the team had — making CS-sourced pipeline visible for the first time.
Salesforce Attribution Fix
Interim workaround and custom field framework to surface CS-sourced pipeline invisible in existing reporting. Designed to be adopted organization-wide.
87% Reduction in QBR prep time — 2hrs to 15min
3 Renewal accounts moved to active expansion pipeline via Whitespace Radar
First CS revenue attribution layer in the organization's history
Capabilities — What I Build

Eight capabilities. One operating philosophy.

Every capability below has been applied in production — in regulated enterprise environments, under real commercial pressure, with documented outcomes.

AI Infrastructure Design
Designing and deploying production CS intelligence tools without budget or admin access — inside regulated enterprise environments where the margin for error is zero.
Revenue Signal Architecture
Converting behavioral, operational, and emotional client signal into forward-looking revenue projection — the intelligence function that makes CS a prerequisite for the forecast, not a footnote to it.
Relationship Intelligence Scoring
A true health score methodology that incorporates human relationship signal alongside analytical data — because the metric that doesn't capture trust doesn't capture churn risk.
Early Warning Signal Design
Risk-signal frameworks built from historical data inputs — giving CS teams the intelligence to be ahead of the client conversation rather than responding to it after the damage is visible.
QBR Architecture & AI Integration
A complete rebuild of the QBR from relationship maintenance ritual to revenue verification event — with AI-driven preparation that returns material weekly capacity to CSMs for proactive work.
Cross-Functional Team Leadership
Leading teams across organizational boundaries without formal authority — the Student Housing rebuild involved nine people across five departments, zero of whom reported to the same chain.
Vertical Market Development
Building vertical-specific CS practice from the ground up — governance, process architecture, client-facing workflows, and internal communication infrastructure for niche enterprise segments.
Distressed Portfolio Recovery
Consistently assigned the portfolios with the highest risk profiles and the clearest mandate for growth. The pattern across sixteen years: inherited distressed, returned to growth, built systems that held.
The Work Speaks. So Does the Conversation.

If you're building something that needs this — let's have the conversation.

No pitch. No funnel. If the work resonates and the timing is right, that's enough to start.