1. Executive Summary — Elai Case Study Landscape
10
identifiable current public case-study entries reviewed
9
named organizations + 1 intentionally anonymous platform
5+
core domains: L&D, education, marketing, sales, compliance/financial training
80%+
largest explicitly reported training-video cost reduction: LKQ Europe
Core pattern: the strongest evidence clusters around learning/training video production, multilingual localization, rapid updates, and reducing dependence on studios, actors, voiceover talent and external editors. SendPulse, LKQ Europe and the anonymous Global Investment Platform have the clearest quantified before/after production economics.
Important attribution rule: several Elai pages display headline figures such as “90% savings” or “35% engagement” in language referring to “companies similar to” a customer. Those figures are not treated as that customer's own result unless the page explicitly attributes them to the customer.
5. Detailed Case Studies
Case 1 · Verified Customer Case / Customer-Reported via Elai; customer identity intentionally undisclosed
Global Investment Platform (anonymous)
Financial services / digital assets Instructional Design Current case on Elai site; identity not publicly disclosed
Impact
96
/100
1. Customer & project
Country: United Kingdom / Sub-Saharan Africa / Southeast Asia
Project: Instructional Design / Financial services / digital assets
Evidence: B / detailed first-party case with quantitative before/after metrics; anonymous customer Primary case-study source
2. Business problem
Training videos took weeks; external voiceover, editors and studio resources slowed frequent updates and localization.
3. Why traditional workflow was limiting
Traditional filming plus external voiceover/editing/studio resources; 1–2 weeks for a video.
4. Elai solution
Elai AI avatars and voiceovers for compliance, onboarding and product walkthroughs; multilingual localization and in-house creation.
5. Human + AI workflow
Human: Instructional designers created, updated and localized content and retained control of training workflows.
AI: Avatar presentation, voiceover, translation/localization and video rendering.
6. Scale & localization
Scale: 600+ employees; 100+ videos; three named delivery languages
Languages: English, Bahasa Malay, Bahasa Indonesian
7. Business impact interpretation
Very strong before/after evidence and clear enterprise L&D use. Customer identity is intentionally anonymous, so independent validation is constrained.
8. Before → After
BEFORETraditional filming plus external voiceover/editing/studio resources; 1–2 weeks for a video.
AFTERElai AI avatars and voiceovers for compliance, onboarding and product walkthroughs; multilingual localization and in-house creation. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Employees | 600+ | Customer profile on Elai |
| Learners trained | 600+ employees | Customer case reported by Elai |
| Training videos | 100+ | Customer case reported by Elai |
| Production-time reduction | 50%+ | Customer case reported by Elai |
| Before production time | 1–2 weeks | Customer-reported baseline |
| After production time | A few hours | Customer-reported |
| Cost reduction | Up to 65% per video | Customer case reported by Elai |
| Languages | English, Bahasa Malay, Bahasa Indonesian | Customer case reported by Elai |
10. Customer quote
““What used to take days, we can now produce in hours, with consistent quality and zero hassle.””
— Senior Instructional Designer, Senior Instructional Designer, anonymous global investment platform. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/corporate-case-study-global-investment-platform/
Case 2 · Verified Customer Case / Customer-Reported via Elai
LKQ Europe
Automotive distribution LKQ Academy Current case on Elai site; post-acquisition presentation identifies Elai as Panopto's AI video creation studio
Impact
95
/100
1. Customer & project
Country: Europe
Project: LKQ Academy / Automotive distribution
Evidence: A-/B: current detailed case with direct customer quotations; independent third-party verification not found Primary case-study source
2. Business problem
26,000+ employees across multiple countries created scale, outsourcing and multilingual-production bottlenecks.
3. Why traditional workflow was limiting
High production spend, limited internal resources, outsourcing and slow multilingual production/updates.
4. Elai solution
Elai for training and marketing videos, PowerPoint-to-video, SCORM delivery through LKQ Academy, auto-translation and multilingual production.
5. Human + AI workflow
Human: LKQ Academy team owns finished materials, creates content and manages learning delivery.
AI: AI video generation, PowerPoint conversion, translation/localization.
6. Scale & localization
Scale: 26,000+ employees; Europe-wide; 10+ languages
Languages: 10+
7. Business impact interpretation
One of the strongest current enterprise cases for cost reduction + multilingual scale + LMS workflow. Independent audit of the 80% figure was not found.
8. Before → After
BEFOREHigh production spend, limited internal resources, outsourcing and slow multilingual production/updates.
AFTERElai for training and marketing videos, PowerPoint-to-video, SCORM delivery through LKQ Academy, auto-translation and multilingual production. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Employees | 26,000+ | Customer/company profile |
| Video-production cost reduction | 80%+ | Reported by LKQ team through Elai |
| Languages | 10+ | Customer case reported by Elai |
| Training bookings/completions | Customers actively booked and completed content | Qualitative; no count disclosed |
10. Customer quote
““The ability to create content directly from PowerPoint presentations is a big advantage.””
— LKQ team, LKQ Academy. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/case-study-lkq-europe
Case 3 · Verified Customer Case / Customer-Reported via Elai interview
SendPulse
Marketing automation / EdTech Learning & Development Historical case
Impact
94
/100
1. Customer & project
Country: Not publicly disclosed
Project: Learning & Development / Marketing automation / EdTech
Evidence: A-/B: detailed case with customer interview and multiple quantified before/after metrics; independent audit not found Primary case-study source
2. Business problem
A 35-lesson course took 2–3 months end-to-end; studios, voice actors and editing increased cost; updates and localization were difficult.
3. Why traditional workflow was limiting
35 lessons, 3–10 minutes each; studio rental, native-speaker voiceover and editing; 2–3 month production timeline.
4. Elai solution
AI avatars and voices, templates/brand kit, interactive quizzes/buttons/branching, 4K export, multilingual rendering and SCORM/LMS integration.
5. Human + AI workflow
Human: Course team supplied scripts/content, reviewed/managed localized content and integrated outputs into LMS.
AI: Avatar presentation, AI voiceover, translation/localization, video rendering and interactive elements.
6. Scale & localization
Scale: 3,500+ students; 6 courses; 150+ videos
Languages: French, Ukrainian, Spanish localized; Elai platform supports 75+ languages per case page
7. Business impact interpretation
Strongest documented unit-cost comparison in the reviewed Elai library. It is not a complete platform ROI because Elai subscription cost and all production inputs are not disclosed.
8. Before → After
BEFORE35 lessons, 3–10 minutes each; studio rental, native-speaker voiceover and editing; 2–3 month production timeline.
AFTERAI avatars and voices, templates/brand kit, interactive quizzes/buttons/branching, 4K export, multilingual rendering and SCORM/LMS integration. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Students trained | 3,500+ | Customer case reported by Elai |
| NPS | 7.2 | Customer case reported by Elai |
| Video-production time saved | 2 weeks | Customer case reported by Elai |
| Freelance native voiceover | $12.25/min | Customer-reported baseline |
| Elai voiceover | $1.58/min | Customer-reported |
| Unit voiceover cost reduction | ~87.1% | Calculated from customer-reported $12.25 vs $1.58 |
| Courses | 6 | Customer case reported by Elai |
| Videos | 150+ | Customer case reported by Elai |
| Localizations | French, Ukrainian, Spanish | Customer case reported by Elai |
10. Customer quote
“Direct quote text not reproduced here beyond the sourced cost comparison; source contains the customer interview.”
— Anastasia Naumenko, Marketing Strategist, SendPulse. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/corporate-case-study-sendpulse/
Case 4 · Verified Customer Case / Customer-Reported via Elai
Kazakh-British Technical University (KBTU)
Higher education Learning & Development / training-material creators Historical case; current institutional status not independently re-verified
Impact
92
/100
1. Customer & project
Country: Kazakhstan
Project: Learning & Development / training-material creators / Higher education
Evidence: B / detailed first-party case with customer/trainer/student quotes Primary case-study source
2. Business problem
Course production was slow; one course previously took more than two months.
3. Why traditional workflow was limiting
Lecture/course production with a reported >2-month timeline for one course.
4. Elai solution
Text-to-video from notes, scripts or presentations; AI avatars/voices, interactive quizzes/buttons/branching, AI media, brand templates and multilingual translation.
5. Human + AI workflow
Human: Educators/course creators supplied learning content and reviewed course material.
AI: Text-to-video, avatars, voices, translation and interactive elements.
6. Scale & localization
Scale: 18 courses; estimated 5,000 students
Languages: Kazakh, English, Russian; Ukrainian occasionally
7. Business impact interpretation
High-scale higher-education example with multiple outcome metrics, but metrics are reported through Elai and the page does not provide an independent measurement methodology.
8. Before → After
BEFORELecture/course production with a reported >2-month timeline for one course.
AFTERText-to-video from notes, scripts or presentations; AI avatars/voices, interactive quizzes/buttons/branching, AI media, brand templates and multilingual translation. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Courses | 18 | Customer case reported by Elai |
| Students reached | ~5,000 | Customer case reported by Elai |
| Production cost savings | ~20% | Elai-reported/estimated |
| Retention improvement | Up to 30% | Reported by university trainers in Elai case |
| Student engagement | 50% increase | Reported by university trainers in Elai case |
| Languages | Kazakh, English, Russian; Ukrainian occasionally | Customer case reported by Elai |
10. Customer quote
““I was pretty glad that my university, KBTU, is offering such courses for students.””
— KBTU student, Student, Kazakh-British Technical University. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/corporate-case-study-kazakh-british-technical-university/
Case 5 · Verified Customer Case / Customer-Reported via Elai
Sonovision
Engineering / technical content & training Learning & Development Historical case; current deployment status not publicly disclosed
Impact
91
/100
1. Customer & project
Country: France / 8-country deployment
Project: Learning & Development / Engineering / technical content & training
Evidence: B / detailed first-party case with named training executive Primary case-study source
2. Business problem
Training content in multiple languages was costly and slow to create; updates and SME voiceovers were resource-intensive.
3. Why traditional workflow was limiting
Traditional training-video creation and repeated SME voiceovers/localization.
4. Elai solution
Elai AI avatars, translation/voiceover, interactive quizzes and branching; scripts could be updated quickly.
5. Human + AI workflow
Human: Training Engineering team shaped learning content and used feedback/knowledge checks to adjust strategies.
AI: Avatar presentation, translation, voiceover and interactive elements.
6. Scale & localization
Scale: 1,300+ employees; 200 videos; 8 countries
Languages: Not customer-specific count; case cites 75+ platform languages and lists 8 deployment countries
7. Business impact interpretation
Strong globalization and content-volume evidence. Numeric time/cost improvements are not publicly disclosed.
8. Before → After
BEFORETraditional training-video creation and repeated SME voiceovers/localization.
AFTERElai AI avatars, translation/voiceover, interactive quizzes and branching; scripts could be updated quickly. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Employees | 1,300+ | Elai case-study profile |
| Countries | 8 | Customer case reported by Elai |
| Videos | 200 | Customer case reported by Elai |
| Employee feedback | Positive | Customer case reported by Elai |
| Production speed | Significant time saved | No numeric baseline disclosed |
10. Customer quote
““Very easy to use, the new option with quizzes saves us a lot of time.””
— David Gonsard, Head of Training Engineering, Sonovision. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/corporate-case-study-sonovision/
Case 6 · Verified Customer Case / Company-Reported
SmartExpert
Talent management / L&D technology Learning & Development Historical/current relationship not independently re-verified
Impact
86
/100
1. Customer & project
Country: Not publicly disclosed
Project: Learning & Development / Talent management / L&D technology
Evidence: B / detailed first-party case study; quantitative evidence is company-reported Primary case-study source
2. Business problem
Custom training-video production was time-consuming and expensive for SmartExpert's client work.
3. Why traditional workflow was limiting
Traditional/custom video production; details of studio, crew and exact baseline are not publicly disclosed.
4. Elai solution
Elai-generated learning videos with AI avatars; interactive quizzes/branching and AI Storyboard are listed as relevant capabilities.
5. Human + AI workflow
Human: SmartExpert created tailored training courses and worked with clients; subject-matter/course design remained human-led.
AI: Video generation, avatar presentation and the documented Elai creation workflow.
6. Scale & localization
Scale: 10,000+ minutes of training video
Languages: Not publicly disclosed
7. Business impact interpretation
Strong production-scale and time/cost evidence, but savings are reported by Elai and are client-level aggregate claims rather than an independently audited SmartExpert ROI.
8. Before → After
BEFORETraditional/custom video production; details of studio, crew and exact baseline are not publicly disclosed.
AFTERElai-generated learning videos with AI avatars; interactive quizzes/branching and AI Storyboard are listed as relevant capabilities. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Training video minutes generated | 10,000+ | Company-reported by Elai |
| Production time saved | 800+ hours | Company-reported by Elai |
| Video-production savings for clients | $70,000+ | Company-reported by Elai |
10. Customer quote
“Elai is 10/10 when it comes to avatar-based video content.”
— Vitaliy Demianets, CTO & Co-founder, SmartExpert. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/case-study-smartexpert/
Case 7 · Verified Customer Case / Customer-Reported via Elai
PetroShore Compliance
Compliance consulting & training Learning & Development Historical case
Impact
84
/100
1. Customer & project
Country: Spain / Angola
Project: Learning & Development / Compliance consulting & training
Evidence: B / detailed first-party case; independent evidence not found Primary case-study source
2. Business problem
Needed stronger engagement in corporate compliance-training courses and scalable learning-video production.
3. Why traditional workflow was limiting
Traditional/less engaging training content; exact production workflow and baseline engagement are not fully disclosed.
4. Elai solution
Digital avatars in e-learning/training videos, enabling higher-volume content production.
5. Human + AI workflow
Human: CEO/learning team designed and managed training content.
AI: Digital avatar presentation and AI-generated video production.
6. Scale & localization
Scale: 10,000+ views; 20+ employee company
Languages: Not publicly disclosed
7. Business impact interpretation
Clear engagement-oriented case, though the baseline definition for the 60% increase and independent validation are not disclosed.
8. Before → After
BEFORETraditional/less engaging training content; exact production workflow and baseline engagement are not fully disclosed.
AFTERDigital avatars in e-learning/training videos, enabling higher-volume content production. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Employees | 20+ | Elai case-study profile |
| Views | 10,000+ | Customer/company-reported in Elai case |
| Viewer engagement | 60% increase | Customer/company-reported in Elai case |
10. Customer quote
“Customer quote available in source; exact excerpt omitted to keep the report focused on evidence fields.”
— Andrea Moreno, CEO, PetroShore Compliance. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/case-study-petroshore/
Case 8 · Verified Customer Case / Company-Reported
MacPaw
Software Sales Historical case
Impact
82
/100
1. Customer & project
Country: Ukraine / global
Project: Sales / Software
Evidence: B / detailed first-party case study; quantitative savings claim is not customer-specific Primary case-study source
2. Business problem
High-volume sales outreach needed a more personalized approach without adding production burden.
3. Why traditional workflow was limiting
Conventional sales outreach; personalized video creation would require substantial manual production.
4. Elai solution
Elai API generated personalized video sales messages from a single script, addressing each client personally.
5. Human + AI workflow
Human: Sales team managed outreach strategy and personalization requirements.
AI: API-based personalized video generation and multilingual video capabilities.
6. Scale & localization
Scale: Personalized sales videos; API workflow
Languages: 75+ platform languages cited on page; customer-specific language mix not disclosed
7. Business impact interpretation
One of the clearest API/personalization cases. Public evidence does not provide a defensible customer-specific ROI calculation.
8. Before → After
BEFOREConventional sales outreach; personalized video creation would require substantial manual production.
AFTERElai API generated personalized video sales messages from a single script, addressing each client personally. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Employee base | 500+ | Elai case-study profile |
| Reach | Global prospects | Company-reported qualitative result |
| Email engagement | Significant increase | Company-reported qualitative result |
| 100% average savings claim | Not treated as MacPaw-specific | Elai page says companies like MacPaw save 100% on average; denominator is not defined |
10. Customer quote
“Customer quote text is not published in the current page extract.”
— MacPaw Head of Sales, Head of Sales, MacPaw. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/case-study-macpaw/
Case 9 · Verified Customer Case / Company-Reported
Springs
Software development Marketing Historical case
Impact
80
/100
1. Customer & project
Country: Not publicly disclosed
Project: Marketing / Software development
Evidence: B / detailed first-party case study Primary case-study source
2. Business problem
Wanted SEO optimization, more organic visibility/traffic, customer trust and audience engagement; conventional video production was resource-intensive.
3. Why traditional workflow was limiting
Studio rental, cameraman, professional equipment and substantial editing effort.
4. Elai solution
AI-generated marketing videos using talking avatars, easier editing, automated translation and custom avatar/voice capabilities.
5. Human + AI workflow
Human: Marketing team selected content and used Elai after consultation/demo.
AI: Avatar presentation, video generation, editing and automated translation.
6. Scale & localization
Scale: Marketing content; 1,000+ reported views
Languages: Not publicly disclosed
7. Business impact interpretation
Strong example of AI video in content marketing/SEO, but the SEO outcome is qualitative and causality is not independently established.
8. Before → After
BEFOREStudio rental, cameraman, professional equipment and substantial editing effort.
AFTERAI-generated marketing videos using talking avatars, easier editing, automated translation and custom avatar/voice capabilities. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Views | 1,000+ | Company-reported by Elai |
| External video-production savings | 70%+ | Company-reported by Elai |
| SEO ranking | Significant increase | Company-reported by Elai; no baseline/rank table disclosed |
10. Customer quote
“Direct quote not reproduced in the current case-study page extract.”
— Springs CEO, CEO, Springs. First-party Elai case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/case-study-springs/
Case 10 · Verified Customer Case / Company-Reported
Sigma Software Group
Software / IT services Learning & Development Historical case; current 2026 deployment status not publicly disclosed
Impact
78
/100
1. Customer & project
Country: Ukraine / global operations
Project: Learning & Development / Software / IT services
Evidence: B / detailed first-party case study; key headline metrics not customer-specific Primary case-study source
2. Business problem
Large volumes of internal information needed to become training video; third-party creators made production long and expensive.
3. Why traditional workflow was limiting
External video creators; actors and filming crew; slower editing/adaptation.
4. Elai solution
In-house Elai AI video creation for employee L&D, with custom avatars/voice cloning, AI Storyboard and interactive quizzes/branching listed on the case page.
5. Human + AI workflow
Human: L&D team controls creation, accuracy and adaptation of training content.
AI: AI-powered video creation, avatar/voice features and editing/adaptation.
6. Scale & localization
Scale: 2,000+ employees; internal L&D
Languages: Not publicly disclosed
7. Business impact interpretation
The customer implementation is clear, but the prominent 90%/35% figures are explicitly framed as results from similar companies, so they are not scored as Sigma-specific outcomes.
8. Before → After
BEFOREExternal video creators; actors and filming crew; slower editing/adaptation.
AFTERIn-house Elai AI video creation for employee L&D, with custom avatars/voice cloning, AI Storyboard and interactive quizzes/branching listed on the case page. The documented outputs/results are summarized in the metric table below.
9. Measurable metrics
| Metric | Value | Attribution / evidence |
|---|
| Employee base | 2,000+ | Customer/company profile on Elai case study |
| 90% cost savings | Not attributable to Sigma specifically | Elai page labels this as results from companies similar to Sigma |
| 35% engagement increase | Not attributable to Sigma specifically | Elai page labels this as average result from similar companies |
10. Customer quote
“Customer-specific direct quote not published in the current page extract.”
— Sigma Software Chief Learning Officer, Chief Learning Officer. First-party case study
11. Limitations / causality check
Public evidence does not establish an independently audited causal relationship for every result. Where Elai itself reports a metric, it is retained as a company/customer case-study claim rather than silently upgraded to independent verification.
Source: https://elai.io/case-study-sigma/