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Discovery Workshop

Map Your AI Opportunity in 1-2 Days

A structured workshop to identify high-value [AI use cases](/glossary/ai-use-case), assess readiness, and create a prioritized roadmap. Perfect for organizations exploring [AI adoption](/glossary/ai-adoption). Outputs recommended path: Build Capability (Path A), Custom Solutions (Path B), or Funding First (Path C).

Duration

1-2 days

Investment

Starting at $8,000

Path

entry

For Corporate Learning

Corporate Learning organizations face mounting pressure to deliver personalized, scalable training while reducing costs per learner and demonstrating measurable business impact. With hybrid workforces, skills gaps widening at unprecedented rates, and learners expecting Netflix-like experiences, traditional LMS platforms and one-size-fits-all curricula no longer suffice. The Discovery Workshop helps L&D leaders systematically identify where AI can transform content creation, learner engagement, skills assessment, and compliance tracking—while addressing legitimate concerns about content accuracy, data privacy under GDPR/CCPA, and integration with existing tech stacks like Workday, Cornerstone, or Degreed. Our workshop methodology evaluates your current learning ecosystem across five dimensions: content development workflows, learner engagement patterns, assessment effectiveness, administrative burden, and learning analytics maturity. Through facilitated sessions with your instructional designers, L&D operations teams, and business stakeholders, we map high-impact AI opportunities against your strategic priorities—whether that's reducing time-to-competency for sales teams, scaling compliance training globally, or building adaptive learning paths. You receive a prioritized 18-month roadmap with ROI projections, vendor recommendations, and implementation sequencing that accounts for your existing infrastructure, budget cycles, and organizational change capacity.

How This Works for Corporate Learning

1

AI-powered content generation reducing course development time by 60-70% by automatically converting subject matter expert interviews, existing documentation, and video transcripts into interactive microlearning modules with built-in knowledge checks and SCORM packaging.

2

Intelligent learner assistants providing 24/7 support across time zones, answering 80-85% of common questions about course navigation, certification requirements, and learning path recommendations, reducing help desk tickets and improving completion rates by 35%.

3

Adaptive assessment engines that personalize question difficulty based on demonstrated competency, reducing assessment time by 40% while improving prediction accuracy of on-the-job performance by 28% compared to traditional testing methods.

4

Automated skills gap analysis using AI to parse job descriptions, performance reviews, and learning records to identify organizational skill deficiencies and recommend targeted learning interventions, cutting workforce planning cycles from quarterly to real-time.

Common Questions from Corporate Learning

How do you ensure AI-generated learning content meets our instructional design standards and regulatory compliance requirements?

The Discovery Workshop maps your existing quality assurance workflows, compliance frameworks (21 CFR Part 11, SOX, industry certifications), and instructional design principles (ADDIE, SAM, Bloom's Taxonomy) into AI implementation guardrails. We identify where human-in-the-loop review is non-negotiable versus where AI can accelerate with acceptable risk, and design approval workflows that maintain compliance while achieving efficiency gains. You'll leave with content governance protocols specifically designed for AI-assisted development.

What happens to learner data privacy when implementing AI solutions, especially with global employees under different regulations?

We conduct a thorough data mapping exercise during the workshop to understand what learner data you collect, where it's stored, and which regulations apply (GDPR, CCPA, PIPEDA, etc.). Our AI opportunity assessment explicitly flags privacy implications for each use case and recommends solutions with appropriate data residency, anonymization capabilities, and consent management. We help you build privacy-by-design principles into your AI roadmap from day one, not as an afterthought.

How do you measure ROI for AI investments in learning when business impact can be difficult to quantify?

The Discovery Workshop establishes baseline metrics across efficiency (content development hours, administrative time), effectiveness (completion rates, assessment scores, time-to-competency), and business outcomes (performance metrics, retention, promotion rates). We work with your analytics team to identify leading and lagging indicators already tracked in your LMS, HRIS, and business systems, then model expected improvements from AI interventions. You receive a measurement framework with specific KPIs, data sources, and recommended reporting cadences for each AI initiative.

Our L&D team is already stretched thin. How do we implement AI solutions without overwhelming our instructional designers and administrators?

This concern drives our implementation sequencing methodology. During the workshop, we assess your team's capacity, technical skills, and change readiness, then prioritize AI opportunities that reduce workload before adding new capabilities. We typically recommend starting with AI tools that eliminate repetitive tasks (content updates, reporting, learner support) to free capacity, then progressively introduce capabilities requiring new skills. The roadmap includes realistic timelines, required training, and potential partnerships with managed service providers where appropriate.

How do you ensure recommended AI solutions integrate with our existing learning technology stack rather than creating more silos?

Technical architecture assessment is a core Discovery Workshop component. We inventory your current platforms (LMS, LXP, content authoring tools, video platforms, HRIS integrations), document existing APIs and data flows, and evaluate integration capabilities of potential AI solutions. Our recommendations explicitly address integration requirements, API availability, SSO compatibility, and data synchronization approaches. You'll receive an integration map showing how AI tools connect to your ecosystem and what technical prerequisites must be addressed before implementation.

Example from Corporate Learning

A global pharmaceutical company with 12,000 employees struggled to maintain compliance training across 40 countries while reducing their $8M annual L&D budget. Through our Discovery Workshop, we identified opportunities in automated content localization, AI-driven compliance tracking, and adaptive learning paths. The resulting roadmap prioritized an AI content generation tool that reduced course update cycles from 6 weeks to 5 days, and an intelligent assessment platform that decreased mandatory training time by 35% while improving knowledge retention scores by 23%. Within 12 months of implementing the first two roadmap phases, they achieved $2.1M in cost savings and improved global compliance audit scores from 87% to 98%.

What's Included

Deliverables

AI Opportunity Map (prioritized use cases)

Readiness Assessment Report

Recommended Engagement Path

90-Day Action Plan

Executive Summary Deck

What You'll Need to Provide

  • Access to key stakeholders (2-3 hour workshop)
  • Overview of current systems and data landscape
  • Business priorities and pain points

Team Involvement

  • Executive sponsor (CEO/COO/CTO)
  • Department heads from priority areas
  • IT/Data lead

Expected Outcomes

Clear understanding of where AI can add value

Prioritized roadmap aligned with business goals

Confidence to make informed next steps

Team alignment on AI strategy

Recommended engagement path

Our Commitment to You

If the workshop doesn't surface at least 3 high-value opportunities with clear ROI potential, we'll refund 50% of the engagement fee.

Ready to Get Started with Discovery Workshop?

Let's discuss how this engagement can accelerate your AI transformation in Corporate Learning.

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THE LANDSCAPE

AI in Corporate Learning

Corporate learning departments design and deliver training programs, leadership development, and skills certification for employees. AI personalizes learning paths, recommends content based on roles, automates training administration, and measures knowledge retention. Organizations using AI increase training completion rates by 40% and improve skill application by 50%.

The global corporate learning market exceeds $370 billion annually, driven by rapid skill obsolescence and remote workforce needs. Companies spend an average of $1,300 per employee on training, yet struggle with low engagement and poor knowledge transfer.

DEEP DIVE

Key technologies include learning management systems (LMS), learning experience platforms (LXP), microlearning apps, and virtual reality simulations. AI-powered tools analyze skill gaps, curate personalized content libraries, and predict learning effectiveness before rollout.

What's Included

Deliverables

  • AI Opportunity Map (prioritized use cases)
  • Readiness Assessment Report
  • Recommended Engagement Path
  • 90-Day Action Plan
  • Executive Summary Deck

Timeline Not Available

Timeline details will be provided for your specific engagement.

Engagement Requirements

We'll work with you to determine specific requirements for your engagement.

Custom Pricing

Every engagement is tailored to your specific needs and investment varies based on scope and complexity.

Get a Custom Quote

Key Decision Makers

  • Chief Learning Officer (CLO)
  • VP of Talent Development
  • Head of L&D
  • Chief Human Resources Officer (CHRO)
  • Director of Employee Experience

Common Concerns (And Our Response)

  • "How do we ensure AI-generated content aligns with our company culture?"

    We address this concern through proven implementation strategies.

  • "Will employees resist AI-powered training versus traditional instructor-led sessions?"

    We address this concern through proven implementation strategies.

  • "Can AI truly assess soft skills like leadership and communication?"

    We address this concern through proven implementation strategies.

  • "What happens to our existing LMS and content library investments?"

    We address this concern through proven implementation strategies.

No benchmark data available yet.

Our team has trained executives at globally-recognized brands

SAPUnileverHoneywellCenter for Creative LeadershipEY

YOUR PATH FORWARD

From Readiness to Results

Every AI transformation is different, but the journey follows a proven sequence. Start where you are. Scale when you're ready.

1

ASSESS · 2-3 days

AI Readiness Audit

Understand exactly where you stand and where the biggest opportunities are. We map your AI maturity across strategy, data, technology, and culture, then hand you a prioritized action plan.

Get your AI Maturity Scorecard

Choose your path

2A

TRAIN · 1 day minimum

Training Cohort

Upskill your leadership and teams so AI adoption sticks. Hands-on programs tailored to your industry, with measurable proficiency gains.

Explore training programs
2B

PROVE · 30 days

30-Day Pilot

Deploy a working AI solution on a real business problem and measure actual results. Low risk, high signal. The fastest way to build internal conviction.

Launch a pilot
or
3

SCALE · 1-6 months

Implementation Engagement

Roll out what works across the organization with governance, change management, and measurable ROI. We embed with your team so capability transfers, not just deliverables.

Design your rollout
4

ITERATE & ACCELERATE · Ongoing

Reassess & Redeploy

AI moves fast. Regular reassessment ensures you stay ahead, not behind. We help you iterate, optimize, and capture new opportunities as the technology landscape shifts.

Plan your next phase

Ready to transform your Corporate Learning organization?

Let's discuss how we can help you achieve your AI transformation goals.