Data · Analytics · Applied AI
From paper records to AI that works.
Freshwater Coast Analytics is a data and AI consultancy in Grand Rapids, Michigan. We build the data foundation first, put AI to work where it can move a real number, and measure what changed.
Lake Michigan–Huron · 1918–2025
What this work changes.
Data and AI earn their place when a number that matters moves, and stays moved. A few of the numbers behind our approach.
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5%
lower patient mortality at sites running an early-warning system for patient deterioration, against matched control sites.
Health system
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30min
per medical-necessity review, down from a four-hour manual process.
Health system
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20%+
fewer preventable emergency room visits among members reached by targeted outreach campaigns.
Health plan
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4,000+
clinical and administrative staff trained through AI education programs built for literacy, compliance, and adoption.
Health system
From programs led by our founder in previous leadership roles at Corewell Health and Priority Health. The case notes have the detail.
Where we help.
Most engagements start in one of four places. The foundation comes first, because most AI problems turn out to be data problems.
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Build the data foundation
One data model that every site and system agrees on, quality checks where data comes in, and a reporting suite that finance, operations, and customer teams read the same way.
Canonical data models · BI suites · Cost and pricing models
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Put AI into production
Predictive models and language-model workflows, each scoped to a decision someone actually makes, with the monitoring to keep them honest after launch.
Early-warning systems · Review automation · Next-best-action models
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Set AI strategy and governance
A steering committee with real authority, a governance and ethics review that keeps pace with the work, and a roadmap your board can follow.
AI centers of excellence · Governance policy · Board briefings
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Build AI fluency
Education that takes staff from curious to capable, with compliance in the room from the start, so new tools get used well instead of quietly avoided.
Enablement programs · Executive sessions · Role-based training
Three ways to start.
Each one stands on its own. An assessment is the usual first step: it tells both of us whether the rest is worth doing.
Assessment
2–4 weeks
A clear read on your data, systems, and AI opportunities. You get a ranked 90-day plan with the business case and the risk for each item.
Build
6–12 weeks
One system delivered end to end: a data model and reporting suite, or a model in production with monitoring. What success means is agreed before work starts.
Fractional leadership
Ongoing
A part-time head of data and AI: strategy, governance, hiring, vendor selection, and a standing seat with your executive team.
Named for the lake, and held to its standard.
We're based in West Michigan, on the freshwater coast of Lake Michigan. Clear water, real depth, a steady current: it's the standard we hold our work to.
Clear means anyone in your organization can read the numbers and trust them. Depth means methods that stand up to clinicians, engineers, and auditors. Steady means systems your own team can run long after the engagement ends.
About the firmStart from a decision
Every model answers to a decision someone makes.
Fix the foundation first
One trusted data model before any clever dashboard.
Measure against a baseline
Agree on the before, then report what changed.
Leave it running
Monitoring, documentation, and a team that owns it.
Case notes.
All case notes- Health system · Prior role Catching patient deterioration earlier −5%mortality vs. matched control sites
- Health plan · Prior role Outreach that moved health outcomes 20%+fewer preventable ER visits
- Treatment network · Client engagement Measuring what happens after discharge Network-wideoutcome and recidivism metrics
Contact
Start with a conversation.
Tell us what you're trying to decide. You'll get a plain answer on whether data or AI can help, and what it would take.