LearnSOP → Competency
PRAXIS
Transforms clinical policies and standard operating procedures into structured competency maps that downstream agents can build against.
Mentored by AI. Measured in Wisdom.
The Wisdom of Expert Nurses,
Captured. Scaled. Deployed.
AIWIZN is an AI-driven nursing education and competency mastery platform that augments traditional onboarding with immersive, scenario-driven learning — targeting clinical errors, turnover, and time-to-competency across a nurse's entire career lifecycle.
“I have worked in the demo and am blown away. It is WAAAY beyond anything that I have seen.”Melissa Godwin Overton, RN, BSN · CEO/Founder, MedicalTraining.me
≈ $60K
Cost each first-year RN turnover avoids (NSI 2026)
6–12 mo
Time to independent competency, traditional path (Benner; AACN nurse residency)
$917B
Projected U.S. healthcare workforce shortage cost by 2030 (Mercer / NCSBN / HRSA)
Most single-session onboarding is lost within months — the failure mode AIWIZN is built to fix. (Forgetting-curve literature; Schmidt & Bjork, 1992.)
Sources — NSI Vizient 2026 National Health Care Retention & RN Staffing Report (2025 data, first-year RN turnover ≈ $60,090); Benner (1984) From Novice to Expert; AACN Nurse Residency Program; Mercer US Healthcare Labor Market Report, NCSBN National Nursing Workforce Survey, HRSA projections (2030 figure).
The Problem
Healthcare's most expensive unsolved problem.
First-year RN turnover exceeds 30% nationally (NSI Vizient 2026) — yet most hospitals still rely on slide decks, shadowing, and annual compliance modules for the highest-risk onboarding period. The nursing workforce crisis is not a supply problem.
It is a retention and competency development problem — and no platform has meaningfully addressed it with the rigor the profession demands.
≈ 9.6%
National RN vacancy rate (NSI Vizient 2026)
≈ $60K
Replacement cost per first-year RN turnover (NSI 2026 — ≈ $60,090)
> 30%
First-year RN turnover, national average (NSI 2026)
1:1
Best-practice preceptor ratio — ratios often exceed it on understaffed units
Source — NSI Vizient 2026 National Health Care Retention & RN Staffing Report (2025 data; first-year RN turnover > 30%; per-turnover cost ≈ $60,090). Overall RN turnover ≈ 17%; first-year is the load-bearing figure for onboarding ROI.
Endorsements
What clinicians say after their first scenario.
Unfiltered first impressions from physicians, radiologists, and nurses who've seen AIWIZN in action.
“I have worked in the demo and am blown away. It is WAAAY beyond anything that I have seen.”
“It doesn’t allow me to point and click to just get through it. I had to stop and think. Having a ton of experience in the field didn’t let me blow through it either; it took real critical-thinking skill to determine the most correct answer, just like the NCLEX exam. And it let me learn the rationale while I was wrong, in the moment, instead of trying to reconstruct my choices at the end of the session. From an educator and leadership standpoint, it’s a no-brainer: it saves preceptor and student time in orientation, and it lets us drill down to true competency needs, novice to expert, to reduce errors as a new employee onboards.”
CEO/Founder, MedicalTraining.me / The Overton Experience
Certified John Maxwell Speaker, Trainer and Coach
“AIWIZN is an outstanding product that spans across student nurse learners, nursing educators, nursing preceptors, and nursing leadership.”
“It incorporates clinical judgement with each step of the scenario and provides immediate rationales and feedback based on the decisions made in real time. The ability for a student nurse, or seasoned nurse for that matter, to apply critical thinking skills within a safe AI platform, affords non-judgemental pedagogical learning and promotes confidence within the participant. I entered into the demo blindly and was very impressed with how the process worked. Receiving a wisdom index score at the end allows the learner to focus on specific areas of scope of practice and prioritization. I am excited to see what this product will further contribute to the nursing profession!”
“The information was very well explained — a ton of great education for anyone not familiar with these emergencies. It helped me think through prioritization and critical moves.”
“This is impressive; it needs serious judgement skills!”
“Wow! This is exactly what AI needs to do!”
“Amazing — I loved this simulation. This is how I would love to learn!”
The Solution
A virtuous learning flywheel — four stages.
Every design decision is evidence-anchored. Each stage feeds the next and the next refines the first.
- Stage 01 · Learn
SOP → Scenario.
Clinical policies transformed into rich, animated scenario introductions. No slide decks. Narrative-first, evidence-grounded.
SOP → Scenario
- Stage 02 · Practice
Simulate & Fail Safely.
Dynamic patient state machine. Goldilocks difficulty calibration. Fail-forward mechanics — the patient deteriorates on wrong choices. Rescue required.
Simulate & Fail Safely
- Stage 03 · Assess
Stealth Intelligence.
No explicit testing. Competency inferred invisibly from every simulation action via Bayesian knowledge networks — a leading approach in psychometric science (Shute & Ventura 2013, Stealth Assessment).
Stealth Intelligence
- Stage 04 · Relearn
Reinforce & Advance.
Instant formative feedback. Spaced repetition scheduling. Expert nurse performance back-harvested to seed better scenarios. The system gets smarter with every nurse it trains.
Reinforce & Advance
The Platform
Ten specialized agents. One coherent learning system.
Each agent owns a distinct stage of the competency lifecycle — policy authoring, narrative generation, simulation, stealth assessment, formative coaching, and lifecycle orchestration.
LearnStoryboard Generation
NARRATIVE
Generates rich, evidence-grounded scenario introductions — narrative-first, not a slide deck.
LearnProcedural Animation
VISIO
Renders animated clinical procedures and patient states so learners see — not just read — the situation they are walking into.
PracticeClinical Simulation
SIMULUS
Dynamic patient state machine. Goldilocks difficulty calibration. Fail-forward mechanics — the patient deteriorates on wrong choices and rescue is required.
PracticeAdaptive Difficulty
GOLDILOCKS
Tunes scenario complexity to the learner's current proficiency band — not too easy, not impossibly hard.
AssessStealth Assessment
COGNITA
No explicit testing. Competency is inferred invisibly from every simulation action via Bayesian knowledge networks — the gold standard in psychometric science.
AssessPsychometric Profile
PERSONA
Synthesises a Benner-stage proficiency profile after each session — Novice, Advanced Beginner, Competent, Proficient, Expert.
AssessAnalytics Dashboard
LUMINA
Real-time competency analytics for unit leaders, educators, and chief nursing officers.
RelearnFormative Feedback
RESONANCE
Instant, evidence-anchored coaching that targets the specific gaps detected in the previous scene.
RelearnLifecycle Orchestrator
CONTINUUM
Spaces, sequences, and back-harvests expert performance to seed better scenarios — the system gets smarter with every nurse it trains.
Research Foundation · 21 Years
Twenty-one years of immersive simulation work — now turned on nursing.
ATEN Inc., est. 2005.
AIWIZN evolves from ATEN Inc.'s 21-year portfolio of adaptive, scenario-driven training systems — grounded in evidence-anchored pedagogy and serious-game best practices. ATEN's portfolio spans immersive training for financial-services, life-sciences, and industrial enterprises; AIWIZN extends that lineage to nursing.
Clinical · NBME semifinalist (2015)
Bedside clinical scenarios
Aviation · Adaptive
Cockpit decision training
Industry · Immersive
Pharma manufacturing VR
Education · Adaptive
Role-play decision scenarios
Recognition
Recognized by the institutions that set the bar.
- 2017Named in industry market forecastsSerious Game market forecasts (2017–2023)
Named in syndicated market-research coverage of the serious-game category. Publisher reference held in the AIWIZN data room.
- 2015Centennial Competition · Semi-FinalistNational Board of Medical Examiners (NBME)
Selected from a global field for clinical-assessment innovation.
- 2012Excellence in Innovation AwardJP Morgan Chase
Recognized for excellence in enterprise innovation across a JP Morgan Chase technology programme.
- 2011Next Generation Learning Challenge · FinalistBill & Melinda Gates Foundation
Awarded for adaptive, data-driven learning methodology.
- 2010Digital Media & Learning Competition · FinalistMacArthur Foundation
Recognised for evidence-anchored learning design.
Aten methodology
Show. Make-them-do. Track. Feedback. Adaptive intelligence.
AIWIZN's flywheel is the clinical implementation of ATEN's evidence-anchored adaptive learning loop — the same simulation methodology that powered enterprise training programs for Fortune 500 clients, including a program that earned its client team the 2012 JPMorgan Chase Excellence in Innovation Award. Built on serious-game best practices; finalist / semi-finalist in NBME (2015 Centennial), MacArthur (2010 DML), and Gates (2011 NGLC) programs.
Leadership & Advisors
Building the future of workforce intelligence.
Credentialed expertise across clinical, academic, and financial domains.
Founder & CEO · AIWIZN / Aten Inc.
Thomas K Vaidhyan
Architect of the AIWIZN multi-agentic learning platform and founder of Aten Inc. Serial ed-tech entrepreneur across immersive learning, serious games, and AI-driven training simulations, with research partnerships at NC State, Virginia Tech, and Duke. Founding board member of BEST NC and Research Triangle High School. Leads platform strategy, product vision, and investor relations across the 14-month build roadmap.
LinkedIn
Advisory Board · Emergency Medicine & Clinical Simulation — Board-certified emergency physician; advises on scenario clinical fidelity and simulation design.
Dr. Graham Snyder· MD, FACEP
Board-certified emergency physician (FACEP). Engineer-turned-emergency-physician with a long record of clinical champion work on simulation-based training. Advises AIWIZN on SIMULUS physiological fidelity and COGNITA clinical validity.
LinkedIn
Surgeon · Division Chief, Minimally Invasive Gynecologic Surgery · Co-Executive Director, FastTraCS·University of North Carolina
Dr. Erin T. Carey· MD, MSCR
UNC surgeon-innovator leading the Division of Minimally Invasive Gynecologic Surgery and co-leading FastTraCS, UNC's clinical-innovation accelerator. Pairs procedural rigor with translational research and device design — informing AIWIZN's PRAXIS and NARRATIVE work on procedural fidelity, clinical-judgment formation, and innovation pathways from bedside insight to validated practice.
LinkedIn
Clinical Advisor · Critical Care & Perioperative Nurse·Duke University Health
Lynn Kenyon· BSN, RN
A Duke nurse with clinical range spanning the Cardiothoracic (CT) ICU, CT Operating Room, Hyperbaric Medicine, and Student Health as an Immunization & Allergy Nurse — from high-acuity critical care to preventive health. That breadth is exactly the real-world variation AIWIZN's scenarios are built to reflect. BSN, University of North Carolina Wilmington (UNCW).
Clinical Advisor · Nursing Education & Simulation
Kelley Toler· RN, MSN-Ed
Registered nurse with more than 25 years of clinical and academic experience across the ICU and Emergency Department. Eight years as nursing faculty, the last four as a Nursing Program Simulation Coordinator, preparing future nurses through hands-on, simulation-based education. Advises AIWIZN on simulation pedagogy and nursing-education fidelity.
Managing Director · Head of Digital Health·EisnerAmper LLC
Arvind Kumar
Healthcare-technology strategist with 25+ years across executive and advisory roles — former CIO at Cincinnati Children's, SVP at Xerox Healthcare, and digital-risk leadership at a Big 4 firm. Adjunct faculty at Harvard School of Public Health, Northeastern, and Suffolk. Advises AIWIZN on responsible AI deployment, clinical validation, and healthcare-technology risk.
LinkedIn
Deputy Executive Director, Tennessee Population Health Consortium·University of Tennessee School of Health Sciences — School of Medicine
Annie Baby· MA, MBA, MSN, FNP-BC
Valid active RN and Advanced Nurse Practitioner licensure. Experienced clinical, operational, and business leader across health-system organizations. Pairs frontline nursing practice with health-economics, analytics, and value-based-care strategy — informing how AIWIZN translates nursing-education frameworks into scalable clinical learning architectures.
LinkedInAdvisor affiliations shown for identification only.
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Hospitals piloting onboarding redesign, schools modernising NCLEX preparation, and patient-aligned investors are invited to request the full data room.