Practice with Virtual Humans: How AI Simulations Supercharge Employee Performance

Summary:
At the CLO Exchange: Healthcare & Life Sciences, Convai’s founder & CEO Purnendu Mukherjee unveiled how agentic, human-like AI trainers can deliver one-to-one tutoring at enterprise scale—via secure chat assistants, lifelike video-style trainers, and pixel-streamed 3D simulations that run in the browser on any device (no local GPU required). 

Why this matters for Healthcare & Life Sciences

Healthcare L&D faces a perfect storm: regulatory complexity, rapid innovation, and constant upskilling. The strongest learning gains in education often come from one-to-one tutoring; agentic AI finally makes that model practical for work—anytime and on any device. Convai’s approach delivers:

• Personalized learning tuned to role, goals, and context
  
  
• Always-on practice before high-stakes conversations or procedures
  
  
• Real-time guidance grounded in your knowledge sources and policies
  
  

Purnendu emphasized that what wasn’t feasible a few years ago—human-like, personalized AI coaching at scale—is now achievable and enterprise-ready.

Presented at the CLO Exchange: Healthcare & Life Sciences—an invite-only gathering for senior L&D leaders focused on healthcare and life sciences strategy. (corporatelearningnetwork.com)

The Convai Learning Stack (3 modes, one platform)

Convai unifies three complementary experiences under a single, secure, agentic brain—powered by your content and tools.

1) Centralized Learning Assistant (chat + research)

A secure, internal assistant specialized for L&D workflows. It performs agentic research, retrieves answers from your systems, and recommends content or practice paths—hosted on cloud, or on-prem.

Best for: policy lookups, SOP guidance, just-in-time learning.

2) Avatar-Based Live Trainer (human-like “video call”)

Spin up a face-to-face session with a lifelike trainer that sees you (vision optional), speaks naturally, and role-plays scenarios with instant coaching and rubric-based feedback.

Best for: difficult conversations, leadership behaviors, patient-experience role-plays.

3) Immersive 3D Simulations (digital twins)

Drop the same character into interactive, pixel-streamed environments—retail floors, labs, ICUs, manufacturing lines, even lunar habitats. The AI moves, points, demonstrates, and verifies trainee actions step by step.

No IT lift: High-fidelity experiences run in the browser via pixel streaming—so learners use phones, tablets, laptops, or XR headsets with no downloads and no local GPU. (Ideal for distributed healthcare teams and BYOD.)

What this looks like in practice

• NVIDIA showcase: A Ramen shop-floor AI with a crafted backstory converses naturally using multimodal perception—demonstrating human-level presence for the user.
  

• Customer-service escalation training: Learners practice de-escalation with a challenging “customer,” receive targeted feedback, and leaders review roll-up analytics.

• NASA XR training (with partner Buendia): A lunar simulation where the AI supervises hard-skills tasks—guiding steps (“position the drill… unscrew the bolt”), verifying actions, and explaining observations in real time.

Build the mind. Then embody it anywhere.

Convai separates character mind from avatar body, so the same intelligence works across chat, live training, and 3D worlds.

Craft the mind

• Backstory, speaking style, persona
  
  
• Connect your knowledge (clinical SOPs, device manuals, policy docs)
  
  
• Narrative flows, triggers, dynamic context for branching scenarios
  
  
• Language/voice settings; plug in your preferred LLMs and tools
  

Choose the body

• Pick from high-fidelity avatars or bring your own
  
  
• Run as a live trainer (browser-based) or embed into interactive 3D
  
  
• Add new actions/animations with a simple capture workflow using Convai’s XR animation capture app (e.g., demonstrate a procedure once; the AI performs it later)
  

Read Also: Create Virtual AI Characters with Custom LLMs

Healthcare-specific learning paths

• Clinician & staff communication: performance feedback, conflict resolution, patient-empathy practice
  
  
• Patient-facing scenarios: difficult conversations, service recovery, de-escalation
  
  
• Operations & safety: infection-control SOPs, med-device procedures, site walk-throughs
  
  
• Onboarding & reskilling: role-specific knowledge, systems orientation, micro-practice before go-lives

Fun Fact!: Convai is trusted by leading fortune 500 companies such as Nvidia, Chick-Fil-A, Nasa, Lockheed Martin, SLB, Accenture, KPMG and more!

What L&D teams gain

• Two-sided feedback: detailed learner reports + high-level dashboards for supervisors
  
  
• Agentic autonomy: the trainer plans, researches, and recommends next steps from your data
  
  
• Vision-enabled checks (optional): “What am I holding? Is this correct?”
  
  
• Security & control: run on cloud, or on-prem—with your governance
  
  
• Zero-install access: browser-based, pixel-streamed experiences—no endpoint GPU requirements
  
  
• Future-proof: works with best-in-class proprietary or open-source models

Ready to pilot agentic AI training for your clinicians and staff—without hardware hurdles? Request a demo call and see how Convai’s chat assistant, live trainer, and browser-based 3D simulations can accelerate your L&D roadmap.\

FAQ

Is this practical for a distributed clinical workforce?
Yes. All three modes run in the browser, and 3D simulations are pixel-streamed—learners can use phones, tablets, laptops, or XR headsets with no local GPU or install.

How do we measure progress?
Learners receive session-level feedback; managers get dashboards with skills rubrics, trends, and scenario outcomes.

Can we use our own LLMs and data controls?
Yes—bring your models and content. Deploy on Convai, your VPC, or on-prem for maximum control.

Where was this presented?
At the CLO Exchange: Healthcare & Life Sciences, Sept 10–12, 2025, hosted at Merck’s Greater Philadelphia campus—an invite-only event for senior L&D leaders. (corporatelearningnetwork.com)

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