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  • Our approach to AI

How we use AI — and where we don’t

AI accelerates our work where it genuinely helps. Human expertise leads where it can’t be replaced. Here’s exactly how we draw that line.
Talk to us about your project

30–40%

Faster development

30+

Languages

98%

Compliance rate

100+

Programs delivered

Where AI accelerates our work

Four ways AI accelerates your training program

We use AI as a productivity tool inside our existing process — not as a replacement for it. Every AI output is reviewed by a senior instructional designer before it reaches your project.

30–40% faster

Content drafting and acceleration

AI generates first drafts of storyboards, assessment questions, and scenario outlines in days instead of weeks. Our instructional designers refine every output — so you get 30–40% faster development without sacrificing quality.
On Sanofi Pasteur’s global vaccine training, AI-assisted drafting cut storyboard development from 3 weeks to 8 days — while achieving 98% messaging compliance.

8

days to storyboard

vs. 3 weeks traditional

  • AI-assisted
  • Traditional

01

67% → 87%

Assessment analytics and optimization

AI identifies patterns human analysts would take hours to find — which questions are too easy, which topics have the highest failure rates, which learner segments underperform.
A national financial services firm used AI-powered assessment analytics to improve pass rates from 67% to 87% and cut regulatory update turnaround from 14 weeks to 6.

67%

87%

Pass rate improvement

AI-driven assessment optimization

  • Update turnaround
  • 14 weeks → 6 weeks

04

02

30+ languages

Translation and localization at scale

AI-powered translation produces working versions across 30+ languages that our human reviewers refine for cultural accuracy. What used to take months now takes weeks.
BSI’s EU Medical Device Regulation training reached professionals in 100+ countries — AI-assisted localization made global delivery feasible within the project timeline.

03

Personalized

Adaptive learning paths

AI analyzes learner performance and adjusts the content path — skipping mastered material, reinforcing weak areas, and recommending next steps. Personalization at scale, without building 50 versions of the same course.

“AI handles the repetitive work. Our team handles the important decisions.”

The line we draw — and why it matters for your project
AI vs. human expertise

AI accelerates. Humans decide.

Not everything benefits from AI. Here’s where the line falls — and why it matters for your project.

  • AI handles this

First-draft content

Storyboards, quiz banks, scenario outlines, job aids — drafted in hours, not weeks.

Translation at scale

30+ languages with human review for cultural and instructional accuracy.

Learner path personalization

Adaptive content sequencing based on real-time performance data.

Data pattern recognition

Assessment analytics, engagement gaps, content performance insights surfaced automatically.

VS

  • Humans own this

Needs analysis and strategy

Understanding a business problem, interviewing stakeholders, reading organizational politics, and defining what success looks like — these require human judgment. AI can summarize data. It can’t diagnose a performance gap.

Scenario design for behavior change

Designing a branching scenario that puts a compliance officer in a realistic ethical dilemma, calibrating difficulty, crafting consequences that teach without punishing — this requires empathy and design intuition AI doesn’t have.

Subject matter accuracy

AI generates plausible-sounding content, but it doesn’t know whether it’s accurate in your regulatory, clinical, or operational context. A pharmaceutical module with one factual error isn’t 95% correct — it’s dangerous. SME review is more critical when AI is involved, not less.

Stakeholder relationships

Reading the room, coaching through change, building trust. No algorithm replaces this.

Evaluating AI claims

How to tell real AI from marketing AI

Every vendor is claiming AI capabilities. Most fall into three categories. Knowing the difference saves budget and disappointment.

Genuine

AI as a feature

The vendor integrated AI into a specific function — auto-generating quiz questions, recommending courses. Genuine. Evaluate it like any feature: does it solve a real problem?

Suspicious

AI as a label

Existing functionality rebranded as “AI-powered.” Search becomes “AI recommendations.” Ask: what does the AI do that wasn’t possible before? Vague answers mean it’s marketing.

Avoid

AI as a roadmap item

Capabilities “coming soon.” Don’t buy based on a roadmap. Evaluate what exists today, and treat future features as a bonus — not a reason to sign.

“

Our position on AI in training

AI runs through every phase of our 360 Framework — from stakeholder interview synthesis in Discover, to multilingual content drafting in Develop, to learner behavior analytics in Optimize. The senior team owns every decision. AI handles the repetitive work that used to slow projects down.

The result: faster timelines, lower per-module costs, and training quality that’s validated by the same human expertise that built 100+ programs across 10+ industries. We wrote the deep dive on this topic — including where to invest now and where to wait.

Want to know how AI fits your training initiative?

We’ll give you an honest assessment of where AI helps your project and where it doesn’t — before you spend a dollar.
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