Hernandez & Co.Venture Group · LLC
Hernandez Venture Group
Miami · Est. MMXXIV
Accepting

AI leadership
for operators.

AI that survives contact with reality. Measured against the P&L, not against a roadmap.

Hernandez Venture Group is an independent consultancy. Eight years of shipped AI work in healthcare, now applied to legal, field-service, and operations teams ready to move past pilots.

We embed senior AI leadership into your operating rhythm, build working systems against your real data, and ship them to production. No slideware. No proof-of-concept theater.

Imprimatur1st HIMSS Innovation AwardTDWI Best Practices AwardHarvard Business School · Leadership PrinciplesSix Sigma Green Belt
Section  §  01

Practice.

Four ways we drive ROI. Every engagement is scoped to your operations, not a generic playbook. Most clients begin with the audit and choose a follow-on from there.

01

Embedded AI Leadership

Senior AI strategy and engineering, embedded part-time inside your operations without the full-time overhead. We sit in your operating rhythm, hold the roadmap to the P&L, and protect your AI investment from political and technical drift.

Engagement · 6–12 months
02

MLOps & Production Infrastructure

Production-grade pipelines for regulated environments where failure has real consequences. Model deployment, monitoring, and retraining built around the systems your engineers already operate.

Project · 3–6 months
03

Custom AI Tools & Automation

AI agents and automation built around your specific bottlenecks: intake, document review, dispatch, vendor communication. Shipped to production and integrated with the systems your team already uses.

Project · 2–4 months
04

AI Team Workshops

Hands-on virtual workshops giving L&D, Product, and Operations teams practical Claude and AI workflow skills, usable from day one. For mixed audiences of 5 to 15. Standalone, or as the adoption layer after a custom deployment.

Cohort · 1–2 weeks
Section  §  02

Where we operate.

AI strategy built around your workflows and regulations, not adapted from a generic playbook. The firm's healthcare track record is the foundation. Legal and field operations are where that work goes next.

Sector Ii.

Healthcare Enterprises

AI diagnostics and physician retention systems built for 100+ clinic networks. Deployed within existing compliance frameworks and clinical workflows, structured around measurable outcomes from day one.

Sector IIii.

Legal Practices

AI-assisted intake, case-law research, and document review for practices where slow processes cost billable hours. Adapted from proven healthcare automation, built to fit your firm's existing systems.

Sector IIIiii.

Field Services & Operations

Dispatch intelligence, quote generation, and vendor communication automation for operations teams competing on speed. AI integrated around your job-management systems, no overhaul required.

Section  §  03

Field record.

Numbers from shipped systems, kept separate from numbers we expect to ship. We don't blur the line between the two. We'd think less of any firm that did.

Proven. Healthcare deployments.

Verified · In production
001
18%

Diagnostic accuracy boost

AI systems increased diagnostic identification accuracy by 18% across a 100+ clinic primary-care network.

002
10%

Physician churn reduced

Predictive retention models cut physician turnover by 10%, saving millions in recruitment and retraining costs.

003
<20%

Clinic no-show rate

Predictive scheduling cut specialty clinic no-shows from ~30% to under 20%, recapturing lost revenue.

Projected. Cross-industry.

Modelled · Engagement scoping
P-01
15+ hrs

Admin time recovered weekly

Agentic automation of intake, scheduling, and back-office tasks for legal and field-services operations.

P-02
3×

Lead pipeline growth

Custom AI agents that qualify, score, and route prospects around the clock without adding headcount.

P-03
20–30%

Operational cost reduction

Custom tools and agentic workflows automating the repetitive processes that consume your highest-cost staff time.

Projections derived from adjacent healthcare deployments and engagement scoping. Results vary by scope and starting baseline.

Section  §  04

Selected work.

Four representative deployments. Each one shipped to production with a named operator on the receiving end. Not a slide deck handed off to an implementation partner.

Deployed an AI-assisted diagnostic identification system across a 100+ clinic primary-care network. The system surfaces missed and under-coded conditions in real time during the patient encounter, prioritized by clinical evidence and revenue impact.

In production, identification accuracy increased by 18% versus the pre-existing baseline. The system held up across providers, EHR variants, and specialty mix.

Sector
Healthcare
Scope
Multi-site network
Stack
Claude · EHR integration
Outcome
+18% diagnostic accuracy
Status
In production
Section  §  05

The method.

A repeatable framework, from operational bottleneck to deployed system. No guesswork. No consultant pageantry. No fees billed for slideware.

i.

The Operational Audit

We map your workflows end-to-end, identify the highest-leverage bottlenecks, and quantify the ROI opportunity for each. You leave the audit with a numbered backlog and a defensible business case. Yours to keep whether or not we run the engagement.

Duration · 2–4 weeksDeliverable: prioritized opportunity register + ROI model
ii.

Strategy & Prototyping

We architect agent workflows, build working prototypes against your real data, and validate results with your team. You see working demos before committing to full rollout. No slideware. No proof-of-concept theater.

Duration · 4–8 weeksDeliverable: live prototype + validated metrics
iii.

Deployment & Adoption

Secure integration into daily operations, plus hands-on workshops that give every team member the confidence to actually use the new system. A deployed model nobody uses is not ROI. Adoption is part of the work, not an afterthought.

Duration · 6–12 weeksDeliverable: production system + trained operators

For Select Executive Clients

The Crucible

A proprietary AI decision engine that assembles a board of twelve advisors to stress-test your highest-stakes calls. Not a chatbot. Not a dashboard. A structured method that challenges your thinking before reality does.

Currently in private pilot. Learn more.
Section  §  06

The principal.

Every engagement is principal-led. The firm is small on purpose.

Glenn Hernandez, Founder of Hernandez Venture Group
Glenn HernandezFounder · AI Strategy Lead

Glenn Hernandez has spent eight years deploying AI in healthcare operations. His work earned HIMSS Innovation (1st Place) and TDWI Best Practices recognition, with measurable outcomes in diagnostic accuracy, physician retention, and operational efficiency.

He now applies the same approach to legal, field-services, and growth-stage operations teams ready to move past pilots. The firm's stance is simple. Every engagement targets one metric. The work is done by the person who signs the proposal.

  • HIMSS Innovation · 1st
  • TDWI Best Practices
  • HBS · Leadership
  • Six Sigma Green Belt
  • Maven · AI Strategy
  • MLOps · Generative AI
  • RAG Pipelines
  • Healthcare Analytics
  • Predictive Modelling
A note from the founder

An honest note about a young firm.

Hernandez Venture Group is a new consultancy. The people who run it are not. The healthcare deployments referenced on this page were shipped over eight years of operating work. The awards above (first-place HIMSS, TDWI Best Practices) are real and verifiable.

We pick clients carefully. Two or three engagements at a time, scoped honestly, with a paper trail of working demos before any commitment to rollout. If our healthcare track record applies to your problem, we'll say so. If it doesn't, we'll point you to someone better suited.

What you should expect from this firm: short proposals, honest numbers, and a principal who owns the outcome.

Glenn HernandezFounder · Hernandez Venture Group

Section  §  07

Engagement.

Tell us about your operational bottleneck. We'll reply within one business day with a fit assessment, a scoping call, or a referral to someone better positioned.