PHOENIX STRATEGIES

from mess to momentum

Your business outgrew the spreadsheets, the inboxes, and the one person who knew how it all worked. Let me help figure out the root of the problem, align on what the right set of deliverables should look like — software, a dashboard, an analysis, a strategy, some mix — and hand back something your team runs without me.

signal from noise

make it make sense

Choosing the right solution matters more than chasing the newest and fanciest thing you've heard someone mention. The AI landscape is crowded with tools, agents, models, vendors, and frameworks, but the useful answer depends on the actual shape of your business problem. I can help you sort the options, avoid the dead ends, and build or connect what belongs.

AI Core
ChatGPTClaudeGeminiLlamaSemantic SearchTool UseStructured OutputEmbedding
Development
TypeScriptReactNext.jsReact NativeExpoTailwind CSSVite
Analytics
SQLPythonPandasBigQuerySnowflakedbtPower BI
Automation
FastAPIFlaskPlaywrightWebhooksSalesforceRetool
Tooling
VercelDockerGitHubAWSAzureFirebaseSupabaseAuth0Convex
Systems
MS GraphSharePointGoogle WorkspaceFilevinePACERStripeiOS/Play StoreResend
working SHAPES

engagement models to consider

This can look very different depending on the problem space. Sometimes the right answer is strategy, sometimes software, sometimes a dashboard, an automation, a vendor decision, or a sharper workflow. The common thread is the mix I bring to the table: systems thinking, product judgment, AI fluency, and enough hands-on building ability to turn the idea into something real. Our work together will always have roughly the same start and end — but there are a variety of different paths we can take through the middle.

PROOF OF WORK

delivered.

Shown below are a few examples of past engagements: the kind of messy problems I’ve helped shape, build, automate, analyze, or hand back as usable systems. If you’re wondering whether your problem fits, ask. I’ll help you figure out the right shape — and I’ll be honest if I’m not the right fit.

Descriptions are pattern-level — sensitive specifics, regulated data, and contractual details remain private. References available upon request.

Andela
Strategy & Planning · Data analytics

Andela

Led the annual product planning cycle, including strategic decision workshops to identify top priorities. Delivered an engineering-ready roadmap grounded in historical performance, heuristic analysis, and clear metric targets.

Data explorationProduct opsMetrics design
Chobani
Strategy & Planning · Logistics

Chobani

Last-mile food-access strategy for rural community impact: mapped pantry, food-bank, warehouse, volunteer, and retailer-partner variables; framed route optimization, pilot metrics, and buy-versus-build options; shaped a phased path from pilot to repeatable playbook and handoff.

Last-mile logisticsCommunity impactPlaybook design
Ethos
process improvement · automation

Ethos

Report generation for Operations Exec leadership including data trends assessment, dashboards and analytics. End-to-end process automation saving ~10 hours weekly and improving ability to audit outcomes.

Product opsDecision systemsData quality
“The real value was making the app’s event data legible enough to understand the business: how people were using the product, where subscriptions were moving, what retention and churn were signaling, and which trends deserved attention before they became surprises.”Theo, Matchtrack Owner
data engineering & analytics

Matchtrack

Aggregated app-event and subscription data from multiple sources into a clean analytics dashboard, with automated weekly email reports surfacing retention, churn, and revenue trends — replacing a manual spreadsheet reporting process.

Matching logicAnalyticsWorkflow UX
“Sean built us a litigation automation system that eliminated one of our most tedious paralegal workflows — saving meaningful hours every week and giving us the operational leverage a growing firm needs. Along the way he brought our legal tech lead and team up the AI curve, and reframed what transforming a firm with it could look like.”Jesse David, SSMK Operations
SSMK
LEGAL TECH · Automation

SSMK

Built litigation intake automations for a multi-state law firm, eliminating manual triage from key paralegal workflows and saving the team an estimated 20 hours per week. The system was designed for reliability, security, and audit-ready operations from day one.

ReportingOwnershipExecution rhythm
CONTACT

have a messy situation you need fixed?

If the process is important, repetitive, and currently held together by people, spreadsheets, bubblegum & duct tape, and judgment passed down by tenure, I will help map it, automate the right parts, and ship it into production.