Data & AI consulting · York, PA and remote

Turn your data into decisions you can act on.

Speed up your processes and grow revenue by fixing the workflows behind them. I run the discovery that settles questions of trust, speed, and reliability, then build what's needed: automated workflows, reliable analytics, and product-led growth systems.

2x–4.75x
revenue per customer from a pricing & packaging rework
3x
day-one retention from a rebuilt onboarding journey
4 weeks
from discovery kickoff to three working AI prototypes worth $5M per year

You have the tools. You don't have the answers.

Teams rarely stall because they picked the wrong software. They stall between “we installed something” and “we can make decisions with it.”

  • Which of our workflows should AI actually touch, and which should it leave alone?
  • Why does month-end reporting land weeks after the month closes?
  • Who counts as an activated user, and what gets more of them to pay?
  • Why does one change mean updating the same record in five different systems?

Three ways to work together

Each engagement starts with focused discovery and ends with something you can use, not a slide deck that sits in a folder. If the work proves out, I stay on to build it.

AI Workflow Sprint

For teams slowed down by process sprawl

Find where your team's hours leak into copy-paste, re-keying, and chasing documents, then automate the parts that are worth automating.

  • Map how work actually moves today, from intake to invoice
  • Score opportunities by impact, feasibility, and time-to-value
  • Working prototypes: AI skills and connections into the tools you already use
  • A roadmap that says what to build next and what to leave alone

Typical timeline: 2–4 weeks

Data & Analytics Discovery

For teams whose reporting nobody fully trusts

Settle the definitions, trace the numbers back to their sources, and get to reporting the business can run on.

  • Metric definitions leadership agrees on, written down
  • Audit of sources, pipelines, and where the numbers break
  • Prioritized tracking and data plan: strategy before tooling
  • BI delivery on stacks like BigQuery, Omni, Tableau, and PostHog

Typical timeline: 3–6 weeks

PLG & Product Analytics

For SaaS teams that want self-serve to pull its weight

Define activation, instrument the journeys that matter, and run the experiments that move signup, conversion, and retention.

  • Activation and lifecycle-stage definitions tied to your core value
  • Funnel and onboarding analysis from visit to paid
  • Pricing, packaging, and upgrade-path recommendations
  • Experiment roadmap with clear hypotheses and readouts

Typical timeline: Sprint or ongoing advisory

Not sure which fits? Tell me what's slowing your team down and I'll say which one I'd start with, or whether you need any of them.

Book a 30-minute call

First principles, then working software

The name comes from Archimedes: give me a place to stand and I'll move the world. Good leverage starts with knowing exactly where you stand.

  1. 01

    Discover

    I learn how work and data actually move in your business, not how the org chart says they do. Interviews, system walkthroughs, and a hard look at the numbers.

  2. 02

    Decide

    Every opportunity is scored against clear criteria. You get a short list of what to build, an explicit list of what to defer, and the reasoning behind both.

  3. 03

    Deliver

    Working prototypes ship during discovery, not after it. When a prototype earns its keep, I direct the build through to something your team runs every day.

Results from the work

Recent engagement · design & engineering studio

A four-week discovery sprint that ended in a decision, not a report

  • Documented how deals actually moved: period reporting ran about seven weeks behind close, and a single deal-field change meant manual updates in five systems.
  • Shipped three working prototypes during the sprint: conversational analytics over CRM pipeline data, executive pipeline dashboards, and a cross-system account-context tool.
  • Scored the opportunity set against weighted criteria and brought recommended build priorities, plus explicit deferrals, to the CEO, CFO, and systems owner.

2 weeks

saved per query on patient impact

Analyzed and ingested research data into a dashboarding tool to surface critical numbers for a clinical trial lab

$5M

saved by removing a review bottleneck

In the sales process for a design and engineering firm

Millions

of duplicate records merged

Giving a telehealth company accurate web analytics reporting

2x–4.75x

revenue per customer

Self-serve pricing & packaging restructure at FlowFuse, with 2.7x additional ARR on those tiers

+42%

conversion to paid self-serve

New team-creator onboarding at FlowFuse, in the target cohort

3x

day-one retention

Enterprise onboarding redesign at Stack Overflow, plus a 20-point lift in day-30 retention

Hi, I'm Greg.

Archimedean Growth is my consultancy. When you hire it, you work with me directly, from the first call to the last deliverable.

I've been on both sides of the table. As a growth product manager I built product-led motions: pricing that multiplied revenue per customer, onboarding that lifted paid conversion, and FlowFuse's first AI product. As Lead Client Success Owner at a data & AI consultancy, I ran engagements across data platforms, analytics, and AI delivery, and built the playbook other engagement leads ran on.

Before tech, I was a philosophy professor, and I still teach logic. That training shows up in the work: get the definitions right, question the assumptions, and be honest about what the data can and can't tell you. I also build with AI tools every day, from client prototypes to the open-source apps I ship for myself.

“I've watched teams argue about dashboards for weeks when the real disagreement was about the meaning of a word.”

Start with a 30-minute conversation

Bring the workflow that eats your week or the number nobody trusts. You'll leave with a clear view of where to start, whether or not we work together.

Book a call

Prefer to message first? Reach out on LinkedIn.