"Building up society, while building up your bottom line."
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.
Discover where your business stands today
"Technology should serve people, not the other way around."
To make equity a measurable, profitable, evidence-based discipline inside the organizations that shape health outcomes at scale, not an aspiration, an operating standard.
January's Advisory Group partners with healthcare organizations, government agencies, and innovators to build Health Equity, trustworthy AI, strengthen governance, and improve performance. We realize ROI, guided by evidence and faith, for clients by closing equity gaps and building ethical design into AI operations.
We envision a future where equity in AI and operations advances humanity and no one is left behind. Through practical solutions, including AccessLens, our Bias Audit Plugin, we help organizations transform that vision into trusted, measurable outcomes, reflecting our faith through integrity, compassion, and faithful stewardship.
"Speak up and judge fairly; defend the rights of the poor and needy." — Proverbs 31:8–9 (NIV)
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.
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.
We break down AI model performance across race, gender, geography, and income — revealing who the model works for and who it leaves behind.
We measure real-world outcomes of AI decisions across your Health Plan members and hospital patients — quantifying the human cost of unchecked algorithms.
We build the internal accountability structures, policies, and compliance frameworks your organization needs to meet Colorado AI Act requirements and lead with responsible AI.
The four-layer framework above, built directly into Epic: AccessLens watches prior-authorization and scheduling decisions for claim density, zip code, Medicaid coverage, and missed-appointment history — proxy variables that can quietly disadvantage patients without ever naming race or income.
See How It Works →Answer 5 quick questions and get your personalized AI Equity Readiness Score plus a tailored recommendation for your Health Plan or Hospital.
This helps us understand your starting point.
Data provenance is the foundation of equitable AI.
Output impact analysis reveals who AI is leaving behind.
Governance is what protects your organization legally and ethically.
This helps us prioritize the right solutions for you.
We listen first. A 30-minute consultation to understand your organization, operations, and current AI landscape.
We run all four layers of the ROI Equity Framework© — data provenance, model disaggregation, output impact, and governance mapping.
You receive a prioritized implementation plan with clear remediation steps, compliance alignment, and projected ROI.
We implement, train your teams, and serve as your ongoing Algorithmic Equity Engineering partner as your organization grows.
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.
Thank you for reaching out. A member of the January's Advisory Group team will be in touch within 1 business day.