Robbins Analytics.
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    • Cascadia Revenue Assurance
    • Cascadia Fee Examiner
    • Cascadia Matter Ledger
    • Cascadia Control Tower
    • Cascadia Deal Desk
    • Cascadia Finance
    • Cascadia BI Migration
    • Cascadia Staffing
    • Cascadia Pharmacy
    • Cascadia Medical Devices
    • Cascadia Clothing (Coming Soon)
    • Job Offer Process Map (process design)
    • Sibling Conflict (mathematics paper)
    • All case studies

Aaron Robbins, AI Analytics Architect

Aaron Robbins.

AI Analytics Architect

12+ years turning messy data into decisions leaders trust.

  • Healthcare manufacturing and quality
  • Ecommerce and retail
  • Supply chain
  • Digital merchandising
  • Finance
The Craft
The expertise is in the craft, not the tooling. I design the analytics, specify what correct looks like, and direct AI to do the build.
The Portfolio
Each build makes its checks inspectable: what was tested, which evidence was retained, and where results failed or remained limited. Build by Build puts those records side by side, with scope and unresolved findings visible.
The Track Record
Proposed and staffed a BI function from zero, then ran BI and analytics programs across 23 manufacturing sites in eleven countries, with 200+ stakeholders.

Open to analytics manager, lead, or principal roles where reporting has outgrown trust, and to conversations about roles that don’t exist yet. Seattle or remote.

View case studies → Explore Cascadia

TRUST WHAT YOU CAN TEST

The one rule

Trust What You
Can Test.

“Validation suites that fail the build rather than ship a number I can’t defend.”

— Aaron Robbins
  1. 0112+years in BI and analytics
  2. 0211data builds since June 2026
  3. 0315test-surface definitions in the portfolio inventory
  4. 04200+Critical Data Elements standardized on one manufacturing platform
  5. 05$80Ka year taken out of a reporting estate

Career figures from the About page; portfolio figures from the Build by Build inventory, frozen 2026-10-07 baseline; additive extension 2026-10-19.

Case studies

The Cascadia Portfolio

Cascadia is a portfolio built to be checked, not taken on faith. Which tests each module could carry, build by build, is one page: Build by Build.

Featured · Portfolio

Build by Build

Eleven builds. Fifteen test surfaces. Evidence with its limits kept in view.

Explore the build matrix → About the page

No matching items
DataNumbersDisplayOps

11 builds × 15 test surfaces

Solid: recorded · Split: limited
Dim: not carried · Dashed: not assessed
Hollow: not applicable

Last row: Claim Integrity. Artifacts are not pass ratings.

Leadership Portfolio

03Playbook

NewPlaybook

Analytics Validation / Playbook

Validating AI-Assisted Analytics

How can you be confident in code you did not read or write in full? One invented dispatch rule, a known answer specified before the code, and four experiments that run a real SQL query in your browser and show what a check adds to reading.

↗

02Playbook

NewPlaybook

BI Leadership / Operating Model

Cascadia Operating Charter

How I would run a data, analytics and automation team inside a medical device quality organization: principles set in stone, methods adjustable, and every practice carrying a proof, a test and a mark. A scenario, not a record.

↗

12Playbook

Playbook

BI Leadership / Metric Governance

Cascadia BI Migration

A 24-week program design for moving an organization off legacy BI and onto a governed, AI-assisted platform, with a certified metric layer at the center. A design, not a build.

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Selected builds

04Case study

NewPublished

Healthcare / Claim Evidence

Cascadia Claim Integrity

Trace supported claim facts into target readiness and encounter outcomes. All 98 applicable fixture variants pass; 22,173 numerical cells match. Chart review and a four-seat restricted simulated panel are complete. Frozen synthetic demonstration, with scope and independence limits disclosed.

PythonJSON/JSONLJavaScriptSVG
Open claim evidence module ↗

05Case study

NewPublished

Medical Device Quality Analytics

Cascadia Early Warning

A forecast of FDA device reports three months ahead for one cardiovascular product code, with an explicit range that held in 20 of 22 locked-test months. Counts of reports, never rates, and no firm named anywhere. Public openFDA data.

PythonDuckDBstatsmodelsECharts
Open forecast module ↗

06Case study

NewPublished

Revenue Operations Analytics

Cascadia Revenue Assurance

What a customer is contracted for and what they are billable for are different numbers. Three asymmetric timing rules keep them apart for up to a year with nothing erroring. Derived twice, by two engines written to be different, agreeing on every cell. Synthetic data throughout.

PythonCSVDuckDBECharts
Open module ↗

See all 18 case studies

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Method

Specify, validate, operate

Explore the Cascadia operating system ↗

  1. 01Specify

    Validation Playbook

    Written spec

    Specification → agent build → review

    I set the architecture, the data model and the measurement definitions as a written specification. AI coding agents build to it. I do not hand-write the Python: I write the spec, review the output and validate it.

  2. 02Validate

    Revenue Assurance

    Independent check

    Definition → independent SQL → reconcile

    A separately written calculation checks a published figure against its definition. Revenue Assurance derives every published cell twice, by two engines written to be different, and they agree. Claim Integrity also publishes its numerical agreement and the separate limits of its assurance record.

  3. 03Operate

    Matter Ledger

    Operated, not only built

    Schedule → re-assert → publish failures

    A surface that has only ever shown green has demonstrated nothing. Matter Ledger runs on a schedule, re-asserts its own invariants on every run, reconciles a live increment against the frozen baseline, and publishes the result, including when a run fails.

Beyond the Portfolio

17Process design

NewPublished

Process design · A working system

Job Offer Process Map

A job search mapped as a working process: Stage-Gate for structure, BPMN swimlanes for who does what, and a plan-do-check-act loop inside every interview round. Two phases, five lanes, and two keys at every interview gate.

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18Paper

Preprint

Mathematics · A pet project

The Combinatorics of Sibling Conflict

Not an analytics module: a short mathematics paper. The number of ways n children can take sides against each other, with the rest uninvolved, is (3n − 2·2n + 1)/2, the Stirling number S(n+1, 3). Of the 25 ways four children can, 6 are one against one; of the 3,025 ways eight children can, 28 are.

The paper (PDF) ↗
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Let’s talk

Let’s build numbers people can trust.

Comfortable as the person building it, or as the person who stands up the function and hires the team. The standard doesn’t change either way.

Get in touch ↗ GitHub

TRUST WHAT YOU CAN TEST ✦ BUILT TO BE CHECKED ✦
Robbins Analytics.

AI analytics architecture portfolio, Aaron Robbins. Governed analytics, built with AI and proven by tests.

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© 2026 Aaron Robbins Trust what you can test