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From AI tools to an AI workforce

Embed agentic AI into workflows, governance, and decision-making to build an elastic organization that scales intelligence on demand.

Nine domain tracks · Developed with Xroads Catalyst · GxP-ready by design

The SmartLab Deep Academy environment showing learning modules, sandbox and orchestration tools

SmartLab is an award winning solution used by Fortune 500 companies

Fosway 9-Grid 2025 — Strategic Leader for Learning Systems Learning and Performance Institute — Top 15 Learning Technologies Learning Technologies Award Employee Engagement Awards

Developed in partnership with Xroads Catalyst

Xroads Catalyst has developed an ecosystem of agentic AI capabilities for pharma and life sciences, focused on amplifying human ability and productivity through human-AI collaboration. Xroads is asset-based consulting, bringing reusable frameworks, patterns, and accelerators for safely deploying agents in complex, regulated environments.

“Somewhere along the way, work stopped being about thinking and started being about surviving the tools we built to help us think. That’s backwards. That’s broken. That’s what I want to fix. Technology should serve humanity, not the other way around.”
Hicham NaimXroads Catalyst
Portrait of Hicham Naim

Hicham Naim

Co-Founder & CEO, VITAL

Former Global Head of Digital & AI at Takeda. Author of Crossroads. Co-founder, Health Tech Without Borders. A clinical pharmacist turned Big Four strategist turned AI leader, Hicham builds companies around one belief: intelligence should compound, not reset.

Portrait of Blaise Jacholkowski

Blaise Jacholkowski

Co-Founder & COO, VITAL

Biomedical engineer, EPFL. Former medtech CEO, Korn Ferry executive, and startup mentor. Twenty years building health and digital ventures that survive regulators, investors, and the market—not just the pitch deck.

The program

What is SmartLab Deep Academy?

The SmartLab Deep Academy environment showing modules, agent patterns and progress

When AI adoption lacks structure, teams experiment and individuals see isolated productivity gains—but real transformation never happens. SmartLab Deep Academy closes that gap by turning scattered AI use into scalable, organization-wide impact.

A structured, agentic AI adoption journey

SmartLab Deep Academy helps organizations move from individual productivity gains to enterprise-wide impact. Combining Xroads Catalyst’s domain-specific frameworks with SmartLab’s scalable digital delivery platform, Deep Academy embeds agents into workflows, roles, and governance—transforming AI from isolated tools at the edges into a governed digital workforce integrated into how the organization runs.

Bridging the gap between AI training and agentic deployment

Most organizations invest in AI training that stops at tools and prompts—never reaching the domain-specific orchestration that creates Deep Workers and makes agentic AI work. This is the gap.

2%

of intelligence initiatives deliver transformative value. Most stall at pilot stage, never reaching organizational impact.

Gartner, 2025

87%

of organizations expect significant skill gaps. The gap isn’t in intelligence literacy—it’s in domain-specific intelligence orchestration.

Deloitte, 2025

70%

can’t find domain + intelligence talent. Because this talent doesn’t exist yet. It must be built.

BCG, 2025

SmartLab Deep Academy is the bridge from AI tools to an AI workforce.

What Deep Academy builds to close it

  • Analyze workflows and orchestration gaps
  • Automate domain-specific processes
  • Scale intelligence across the enterprise
  • Create role-based agents
  • Govern agent deployment by design

Deep Worker (n.)

A professional who combines deep domain expertise with AI orchestration fluency—building and governing intelligent workflows that multiply output without sacrificing quality or compliance.

Fit

Who is SmartLab Deep Academy for?

Deep Academy is designed for knowledge work in complex, regulated environments—from individual contributors to executive leaders.

Ideal participants

Leaders and sponsors

CDO/CIO, COO, Heads of Transformation, Heads of Data/AI, Functional VPs.

Operators of regulated work

Medical, Regulatory, Market Access, Clinical, Quality, Commercial.

Builders and enablers

AI CoE, Digital/Product teams, L&D, Compliance and Risk.

Best-fit organizations

Beyond pilots

You’ve moved past AI awareness and experimentation, but impact is still stuck at the edges.

Governed deployment

You need repeatable, compliant patterns for deploying agents safely into real workflows.

Context-specific capability

You want role-based capability built around your teams, markets, products, and constraints.

The Deep Academy Learning Model

Inside the Deep Academy method

Deep Academy takes you from foundational skills to orchestration mastery through real work — not simulated exercises.

1

Learn

Foundation building through curated content. Each module combines video instruction, real pharma case studies, and essential readings. Self-paced with weekly checkpoints.

  • Understand intelligent capabilities and limitations
  • Learn pharma-specific use cases
  • Build mental models for orchestration
2

Apply

Hands-on practice in the VITAL sandbox environment. Work with actual datasets and tools under mentor guidance. This is a safe space to experiment and learn from mistakes.

  • Build first working intelligent workflow
  • Practice with domain-specific tools
  • Receive real-time mentor feedback
3

Build

Apply everything to a real challenge. Design, build, and deploy an intelligent workflow that delivers measurable business value. Present to leadership for certification.

  • Deliver measurable business impact
  • Create reusable organizational asset
  • Earn Deep Worker certification

Tracks

Domain-specific tracks

Nine tracks. One goal: measurable output in your domain.

DomainWhat the track buildsTarget outcome
MedicalSynthesize 500+ papers monthly, accelerate KOL engagement10x faster literature synthesis, 5x more KOL touchpoints
MarketeerLaunch omnichannel campaigns in days, not weeks80% reduction in content creation time, 3x campaign velocity
Market AccessAutomate HTA submissions and pricing models60% faster dossier preparation, real-time pricing optimization
RegulatoryAccelerate CTD preparation and agency responses50% faster submission prep, 90% reduction in cross-reference errors
R&DAugment literature review and protocol design70% faster lit reviews, data-driven protocol optimization
StrategyAccelerate competitive intelligence and due diligenceContinuous competitive intel, 80% faster due diligence
AnalystAutomate RWE analysis and insight generationSelf-service analytics, 10x faster insight delivery
HRScale scientific recruiting and onboarding50% faster time-to-hire, personalized onboarding at scale
FinanceReal-time revenue modeling and variance analysis5x faster close process, continuous forecasting capability

Formats

Delivery method

Intensive Cohort

Duration
6 weeks
Cohort
15–25 per track

Rapid capability building.

Extended Program

Duration
12 weeks
Cohort
20–30 per track

Deeper integration with work.

Executive Track

Duration
3 days
Cohort
10–15 leaders

Full-Stack Leader preparation.

Train-the-Trainer

Duration
4 weeks
Cohort
5–10 internal champions

Building internal capability.

Difference

What makes SmartLab Deep Academy different?

A practical, human-centered approach to transformation, delivered at scale.

  • Domain-specific

    Built for regulated work.

  • Deep Workers

    Orchestrators, not just users.

  • Real work

    Actual projects, reusable IP.

  • Governed

    FDA and EMA ready by design.

  • Elastic

    Scale without scaling headcount.

  • Proven

    Xroads expertise, SmartLab platform.

What makes SmartLab Deep Academy different, shown across the platform

Together

How SmartLab Deep Academy stands apart

Powered by SmartLab. Designed with Xroads Catalyst. Built for intelligent workforce transformation.

A SmartLab discovery lab environment with agenda, resources and collaboration apps

SmartLab features

  • Dynamic timelines → systemic orchestration
  • Immersive environments
  • Integrated video conferencing
  • Adaptive journeys
  • Personalised dashboards
  • Decision-making & collaboration apps
  • Resource libraries
  • SmartLab AI for decisions, data, learning, and production
Scientists working in a regulated laboratory environment

Xroads Catalyst expertise

  • Pharma and life sciences domain expertise
  • Agentic AI frameworks for regulated environments
  • Reusable accelerators and deployment patterns
  • Human-AI collaboration methodology
  • Asset-based consulting with proven implementation playbooks
  • GxP-ready governance by design
  • Trusted by global organizations

The intelligence window is closing

By 2028, the capability gap between organizations with Deep Workers and those without will determine the next generation of leading organizations.