"Building up society, while building up your bottom line."

Algorithmic Equity Engineering

Building Up Society, While Building Up Your Bottom Line.

Ethical AI & Equitable Operations for Health Plans & Hospitals

January's Advisory Group helps Health Plans and Hospitals implement AI the right way — ethically, equitably, and built for revenue. Because AI that excludes people doesn't just hurt communities. It hurts your bottom line.

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AI Readiness Score

Discover where your business stands today

Automation Potential
Data Readiness
ROI Forecast
3x
Avg. Efficiency Gain
Time Saved
40%
Serving organizations in
🏥 Health Plans
🏨 Hospitals
⚕️ Health Equity
⚖️ Operations & Compliance

Algorithmic Equity Engineering
Built for Your Industry

JAG's ROI Equity Framework© operationalizes AI through a four-layer audit — so your organization can adopt AI that is defensible, equitable, and built to drive revenue.

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Data Provenance & Audit

We trace the origin, history, and quality of your data to identify where bias enters your AI systems — before it reaches a patient, worker, or community member.

Layer 1 — ROI Equity Framework©
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Model Performance Disaggregation

We break down AI model performance across race, gender, geography, and income — revealing who the model works for and who it leaves behind.

Layer 2 — ROI Equity Framework©
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Output Impact Analysis

We measure real-world outcomes of AI decisions across your Health Plan members and hospital patients — quantifying the human cost of unchecked algorithms.

Layer 3 — ROI Equity Framework©
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Governance Accountability Mapping

We build the internal accountability structures, policies, and compliance frameworks your organization needs to meet Colorado AI Act requirements and lead with responsible AI.

Layer 4 — ROI Equity Framework©

Is Your Organization AI-Ready?

Answer 5 quick questions and get your personalized AI Equity Readiness Score plus a tailored recommendation for your Health Plan or Hospital.

How would you describe your organization's current use of AI or automated decision-making?

This helps us understand your starting point.

We use little to no AI — mostly manual processes
We use basic software tools but no AI systems yet
We have some AI tools in place but haven't audited them for equity
We use AI extensively and are actively assessing bias and governance

Does your organization know where its data comes from and who it represents?

Data provenance is the foundation of equitable AI.

No — we haven't examined our data sources
Somewhat — we know what data we collect but not its equity gaps
Mostly — we track data sources but haven't disaggregated by population
Yes — we actively audit data for representation and bias

Has your organization assessed how AI decisions impact different population groups?

Output impact analysis reveals who AI is leaving behind.

No — we haven't looked at outcomes by race, gender, or income
We've discussed it but have no formal process
We track some demographic outcomes but not systematically
Yes — we disaggregate AI outcomes across population groups regularly

Does your organization have a governance structure for AI accountability?

Governance is what protects your organization legally and ethically.

No — there are no formal AI policies or oversight roles
We have general IT policies but nothing AI-specific
We have some AI guidelines but no accountability mapping
Yes — we have defined roles, policies, and compliance frameworks for AI

What is your organization's primary driver for pursuing equitable AI?

This helps us prioritize the right solutions for you.

Regulatory compliance (Colorado AI Act, CMS, EEOC)
Reducing liability and litigation risk
Improving patient, member, or workforce outcomes
Competitive advantage and revenue growth through equity

From Discovery to Results
in 4 Clear Steps

1

Discovery Call

We listen first. A 30-minute consultation to understand your organization, operations, and current AI landscape.

2

ROI Equity Audit

We run all four layers of the ROI Equity Framework© — data provenance, model disaggregation, output impact, and governance mapping.

3

Custom Equity Roadmap

You receive a prioritized implementation plan with clear remediation steps, compliance alignment, and projected ROI.

4

Implement & Sustain

We implement, train your teams, and serve as your ongoing Algorithmic Equity Engineering partner as your organization grows.

Ready to Lead on
Equitable AI?

Let's talk about your organization's AI landscape.

Whether you're a Health Plan navigating CMS compliance or a Hospital assessing algorithmic bias in clinical tools — JAG is your guide. Book a free 30-minute consultation and let's build something defensible together.

📅 Book a Free 30-Min Consultation
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Phone
(720) 603-8282
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Website
www.januarysadvisorygroupllc.org
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Message Received!

Thank you for reaching out. A member of the January's Advisory Group team will be in touch within 1 business day.