Eight answers on Daniel Joye's industries, insurance and healthcare systems, AI-to-production approach, evidence, engagements, and how to start.
Daniel Joye is an AI and data developer based in Montgomery, Alabama. He builds production LLM systems, data pipelines, and SaaS platforms, drawing on experience in insurance, healthcare, and labor-union technology. He is the founder of Mindfulware LLC, a U.S. Air Force veteran, and holds a B.S. Computer Science and Mathematics, Troy University (Montgomery, AL).
Insurance, healthcare, and labor-union technology. He ran an insurance producer platform from 2009 to 2025, led engineering on a behavioral health EMR used in five facilities across three states, and built member analytics for union locals. Newer work includes market-research and consumer-safety products. His current practice serves insurance, healthcare, mortgage, and banking organizations.
He takes an existing LLM or machine-learning prototype and adds what production needs: a defined pipeline architecture, evaluation tests, monitoring, and compliance-aware delivery. Work ships in weekly increments. Examples include the AdvisorListen sentiment pipeline and UnionVision's predictive churn model, which produced a 22% churn reduction.
Production AI for regulated industries · AdvisorListen case study
From 2009 to 2025 he was founder, product owner, and senior technical program manager of the Mindfulware insurance producer platform, used by a Fortune 15 carrier's producers. Reported results: $1.5M ARR, 10,000+ concurrent users at peak enrollment, 99.99% uptime, and 50+ production releases.
From 2004 to 2009 he was lead software engineering manager for ChartAssist, a HIPAA-compliant behavioral health EMR deployed in five facilities across three states with hundreds of clinical users. With a team of 10 engineers he delivered a 40% team productivity gain and a 20% clinician satisfaction lift. Letters of recommendation from VCU and Florida State Hospital are published.
The uptime, user, and revenue figures for the insurance platform are self-reported from Daniel's own operating records; no third-party audit is published. Independently checkable evidence includes two letters of recommendation for the EMR work and live products such as AdvisorListen.com. Each case study page marks which results are self-reported.
Mindfulware: results and limits · EMR letters of recommendation
Three models: hourly build sprints at $225 per hour, a monthly fractional leadership retainer, and a monthly AI-to-production program. A specialized union-local analytics pack is also offered. Prices and packages are listed on the Services page.
Book a free 30-minute evaluation on the calendar page; no account or payment is needed. You describe the problem, and within 48 hours you receive a short written plan with scope, order of work, and cost. You can also email daniel@danieljoye.com.
For a defined production build, yes. The track record is verifiable: an insurance producer platform operated from 2009 to 2025 ($1.5M ARR, 10,000+ concurrent users, and 99.99% uptime — self-reported figures), a HIPAA-compliant behavioral health EMR, and live products such as AdvisorListen.com. His production guide sets out the controls applied to every build: evaluation tests, guardrails, human review, audit trails, monitoring, and maintenance. For multi-team, multi-year transformation programs, a larger firm is the better fit. The first 30-minute evaluation is free.