Top 10 AI Tools Every Customer Service Professional in Malaysia Should Know in 2025
Last Updated: September 10th 2025

Too Long; Didn't Read:
Malaysia's 2025 CS playbook: leverage top AI tools (Convin, Zendesk, Freshdesk, Intercom, Salesforce, LivePerson, Ada, Trengo, Tidio, ChatGPT) to boost automation - backed by RM10 million NAIO and Budget 2025; 47% of Malaysians prefer AI interactions, WhatsApp-first integrations essential.
Malaysia's customer service scene in 2025 sits at a tipping point: national moves like the RM10 million National AI Office (NAIO) and Budget 2025 incentives are clearing barriers to adoption, while consumers and firms speed adoption - about 47% of Malaysians now prefer to interact with brands through AI - so contact centres that pair automation with smart human oversight will win.
Strategic investments from major players and new initiatives such as AI Malaysia (AIM) aim to connect pilots, skills and regulation, but coordination with NAIO matters to avoid fragmentation (see Budget 2025 for details).
For CS teams, practical tools - RAG-based helpers and ticket-triage workflows - can cut backlog and lift first-contact resolution; teams that reskill will be the winners, and short bootcamps like Nucamp's AI Essentials for Work registration teach workplace prompts, tooling and deployment fast.
Learn more in the Budget 2025 overview, Malaysia's AI landscape, and the AI Essentials course.
Bootcamp | Length | Cost (early/regular) | Register |
---|---|---|---|
AI Essentials for Work | 15 Weeks | $3,582 / $3,942 | AI Essentials for Work Registration | AI Essentials for Work Syllabus |
“Budget 2025 fosters a conducive environment for accelerating AI adoption. With the support of incentives and R&D initiatives, companies can enhance their competitive edge, scale operations, and drive Malaysia's digital transformation.” - Adrian Marcellus, MyDIGITAL Corporation
Table of Contents
- Methodology: How we picked these top 10 AI tools
- Convin AI - Real-time conversation intelligence for contact centres
- Zendesk - Robust omnichannel helpdesk with AI automation
- Freshdesk (Freshworks) - Affordable multichannel support for growing teams
- Intercom (Fin AI) - Conversational support with human-like generative AI
- Salesforce Service Cloud (Einstein AI) - Enterprise CRM-aligned service
- LivePerson - Scalable omnichannel conversational AI and messaging
- Ada - No-code chatbot builder for scalable multilingual self-service
- Trengo - Omnichannel inbox and Flowbots for social & WhatsApp support
- Tidio - Lightweight live chat and chatbots for SMEs and ecommerce
- ChatGPT (OpenAI) - General-purpose generative AI for agent assist
- Conclusion: Choosing the right AI tool and next steps for Malaysian CS teams
- Frequently Asked Questions
Check out next:
Learn how RAG helpers and ticket triage to speed resolutions can cut backlog and route issues to the right agent fast.
Methodology: How we picked these top 10 AI tools
(Up)Selection emphasised practical fit for Malaysian customer service teams: tools had to show local traction (proven use cases in banks, telcos and e‑commerce), strong omnichannel support (especially WhatsApp and website chat), straightforward integration with legacy CRMs, and sensible cost-to-impact for growing operations.
Priority criteria drew on Malaysian market signals - for example, Yellow.ai's Conversate research notes 68% of local deployments include WhatsApp and 56.6% of CX leaders expect fully autonomous service within 3–5 years - so channel coverage and future-proofing weighed heavily (Yellow.ai Conversate 2024 report on AI-first customer service trends in Malaysia).
Vendor credibility was assessed via public reviews, team size and integration capabilities (the typical approach used to rank chatbot vendors in regional listings), plus evidence of measurable outcomes from local case studies like AirAsia, Maybank and Pos Malaysia (Aimultiple chatbot roundup for Malaysia, SmartOSC overview of leading AI services in Malaysia).
The result: tools that balance multilingual, PDPA‑aware deployments, smooth human handoffs and analytics-driven ROI rose to the top - because in Malaysia, channel reach (WhatsApp first) often decides whether customers get fast answers or abandon the chat.
Selection criterion | Why it mattered / source |
---|---|
Omnichannel (WhatsApp, web, telephony) | High local adoption rates; WhatsApp is critical for reach (Yellow.ai) |
Local case studies & PDPA compliance | Shows real ROI and data-residency awareness (SmartOSC / Ensun) |
Vendor credibility (reviews, scale) | Comparison metrics used in vendor rankings (Aimultiple) |
Integration & legacy support | Biggest adoption hurdle in Malaysia - must connect to CRMs and APIs (Yellow.ai / SmartOSC) |
Measurable outcomes & analytics | Preference for platforms that show deflection, FCR uplift or conversion case studies (Aimultiple / SmartOSC) |
Convin AI - Real-time conversation intelligence for contact centres
(Up)Convin AI - thought of here as the real‑time conversation‑intelligence layer Malaysian contact centres should benchmark against market leaders - bundles the capabilities that drive fast, measurable wins: low‑latency, diarized and PII‑redacted transcription, GenAI‑powered summaries and multi‑LLM enrichment, plus patented auto‑QA and automated coaching that can evaluate 100% of interactions rather than a random sample.
Platforms like Observe.AI conversation intelligence platform and CallMiner conversation intelligence solution show how those features turn conversations into action - surfacing compliance risks, routing tickets automatically, and feeding CRM-ready summaries so agents spend less time on notes and more on complex cases; that practical shift is exactly what helps teams cut backlog and lift first‑contact resolution.
For Malaysian CS leaders, the payoff is concrete: fewer blind spots, faster coaching loops, and sharper insight into what customers really want.
Metric | Example value (source) |
---|---|
Interactions processed annually | 3B+ (Observe.AI) |
Transcription accuracy | 95% (Observe.AI) |
AI enrichments added annually | 30B+ (Observe.AI) |
“From a Contact Center perspective, surveys are just the tip of the iceberg. We're exploring AI summarization, leveraging Speech and Text Analytics, and actively listening to calls to uncover key friction points. Combined with survey data, these insights help us piece together the full consumer journey and tell a more complete story.” - Timothy Frazee, Executive Director of Consumer Experience, AdventHealth
Zendesk - Robust omnichannel helpdesk with AI automation
(Up)Zendesk is a strong option for Malaysian CS teams that need a single, resilient platform to unify voice, chat, email and social channels while adding AI-driven automation - its AI Agents and Copilot promise big efficiency gains (Zendesk says AI agents can automate 80%+ of interactions and copilot can boost agent productivity by ~20%) and the product roadmap emphasises faster, generative search and no-code automations that turn Help Center articles into Quick Replies to deflect tickets quickly; in practice, many teams start small (AI Agent Essentials often yields ~10–20% automation from knowledge bases) and scale to Advanced hybrid flows that push automation higher as APIs and integrations are added.
For Malaysian operations this matters because the platform's AWS-backed telephony, built-in QA and workforce management give enterprises predictable uptime, while the per-agent add-ons and tiered pricing mean smaller teams should plan pilots and cost-control from day one.
Explore Zendesk's contact‑center capabilities and AI overview to map features to local channel needs before committing.
Metric / capability | Value / note |
---|---|
Vendor claim: automated interactions | Automate +80% of interactions (Zendesk AI) |
Typical early automation from Help Center | ~10–20% with AI Agent Essentials (generative replies) |
Agent productivity uplift | ~20% with Copilot / agent assist |
“Zendesk AI has changed the way we speak to our customers, because now we can actually match their tone in conversation, whether they like to have fun using emojis or prefer the conversation to be more formal.” - Stacey Zavattiero, Customer Experience Manager
Freshdesk (Freshworks) - Affordable multichannel support for growing teams
(Up)Freshdesk Omni (Freshworks) is a strong, budget‑friendly choice for Malaysian teams that need true omnichannel support without stitching together multiple tools: it merges ticketing and real‑time messaging so agents see web chat, WhatsApp, LINE, Instagram and email in a single workspace, and Freddy AI supplies both customer‑facing AI agents and an agent Copilot for live summaries, translations and reply suggestions to cut AHT and lift FCR. That matters in Malaysia where multilingual threads and WhatsApp conversations are routine - agents keep context, convert chats into tickets with one click, and use automation rules and SLA alerts to avoid missed cases.
Plans scale from a free two‑agent start to paid tiers (Pro/Enterprise include 500 Freddy AI Agent sessions to trial automated resolutions), and integrations with CRMs, telephony and analytics make it practical to pilot fast and expand safely.
Explore Freshdesk Omni's feature set and local pricing options to map a rollout that begins with a few agents and grows without painful migrations.
Plan (via Exabytes Malaysia) | Price (RM / agent / month) |
---|---|
Growth | RM 69.00 |
Pro | RM 229.00 |
Enterprise | RM 375.00 |
“With Freshworks, our AI agents can address inquiries round the clock. It's a powerful feature to improve the customer experience while freeing our [team] to focus on immediate traveler needs.” - Krishnamoorthy Venkatakrishnan, Manager, Customer Experience
Intercom (Fin AI) - Conversational support with human-like generative AI
(Up)Intercom's Fin AI Agent is a strong fit for Malaysian teams that need a high‑quality, omnichannel assistant able to handle multilingual, WhatsApp‑heavy flows: Fin claims rapid set‑up (“set up in under an hour”), configurable tone in 45+ languages, real‑time translation, and the ability to serve chats, email, phone, SMS and WhatsApp while following existing ticket rules - so it can deflect routine work and let agents focus on complex cases that still need human judgement.
For teams with an Intercom investment, Fin's per‑resolution model (typically $0.99 per resolved conversation, with Intercom seat add‑ons) makes costs predictable but watch for volume spikes during peak seasons; independent reviews note excellent automation quality but warn that complexity and price mean Fin often suits mature support stacks.
Learn more on the Fin AI Agent site and see a third‑party Intercom Fin AI review to compare tradeoffs before piloting.
Capability / metric | Value / note |
---|---|
Typical resolution uplift | Fin resolves up to ~65% end‑to‑end in case studies |
Pricing | $0.99 per resolved conversation; Intercom add‑on + $29/seat/mo |
Channels | Live chat, email, phone, SMS, WhatsApp, social, Slack |
Setup time | Set up in under an hour; integrates with existing helpdesks |
“Fin is in a completely different league. It's now involved in 99% of conversations and successfully resolves up to 65% end-to-end - even the more complex ones.” - Angelo Livanos, Senior Director of Global Support at Lightspeed
Salesforce Service Cloud (Einstein AI) - Enterprise CRM-aligned service
(Up)For Malaysian enterprises weighing enterprise-grade AI, Salesforce Service Cloud with Einstein stitches generative and predictive AI directly into the CRM so customer history, case triage and automation live in one pane of glass - think GPT-powered reply drafts, call and work summaries, automated case classification and routing, and recommendations that surface the “next best action” without forcing agents to switch tools.
Einstein GPT and Copilot can turn Knowledge articles into personalised service replies and cut wrap‑up time, while the Einstein Trust Layer helps keep sensitive customer data off external LLMs - a practical fit for Malaysian teams focused on PDPA-aware deployments and complex legacy CRM integrations.
Startups and telcos can pilot case‑routing and article recommendations; larger banks and insurers will value the low‑code Copilot Studio and Model Builder for BYOM workflows.
Learn how Einstein GPT ties CRM data to private and public models in the definitive guide to Einstein GPT, read the platform's predictive AI basics, and review a concise product guide to what Einstein offers for service teams.
Feature | What it does / note (source) |
---|---|
Einstein Bots | Automates routine inquiries across channels; multilingual support (Atrium) |
Einstein Case Classification & Routing | Auto-populates fields and routes cases to the right agent (CloudConsultings / Atrium) |
Einstein GPT for Service | Generates replies, call summaries and knowledge drafts from CRM data (SalesforceBen / Atrium) |
Einstein Trust Layer | Prevents LLMs from retaining sensitive customer data for better compliance (SalesforceBen) |
Pricing | Included in higher editions or available as an add-on (approx. $50/user/month for core Einstein features per sources) |
“If I had to guess, I'd say that the man who famously said, ‘Never memorize something that you can look up,' would probably be pretty blown away by what is possible today with artificial intelligence.” - Nicole Klemp, Atrium
LivePerson - Scalable omnichannel conversational AI and messaging
(Up)LivePerson's Conversational Cloud is built for the messaging‑first customers Malaysian teams are racing to serve: it centralises WhatsApp, Apple Messages for Business, LINE, WeChat, SMS and web/app messaging so agents and bots can pick up the same thread across channels, and it packs rich media, proactive outreach and in‑chat payments to keep commerce and care in one place; LivePerson's product page explains how omnichannel routing and Conversation Shifting let brands
press 1 to start messaging
and cut costly call volume - LivePerson even cites that 8 out of 10 people prefer messaging to phone calls and that messaging can halve call load in ~100 days.
The platform's Conversational Cloud also supports structured UI elements (List Pickers), audio/video attachments and Apple Pay flows to speed resolution and reduce friction for multilingual Malaysian customers, while proactive messaging and IVR deflection turn one‑time interactions into ongoing, high‑value conversations.
For teams planning a pilot, the LivePerson messaging overview and the
Moving from chat to messaging
implementation guide are practical starting points for channel mapping and automation design.
Capability | Why it matters for Malaysian CS teams |
---|---|
LivePerson omnichannel messaging channels (WhatsApp, Apple Messages, LINE, WeChat, SMS, web/app) | Keeps multilingual, WhatsApp‑first conversations in one workspace for consistent handoffs |
Proactive messaging & IVR deflection | Reduces call volume and enables timely care or payment reminders |
Rich structured content (List Pickers, forms, media) | Speeds task completion in chat and lowers handle time |
In‑chat payments & Apple Pay | Supports conversational commerce without forcing customers off the channel |
Ada - No-code chatbot builder for scalable multilingual self-service
(Up)Ada stands out as a pragmatic, no‑code option for Malaysian support teams that need fast, multilingual self‑service without a developer backlog: its drag‑and‑drop builder and Reasoning Engine™ combine NLP, multi‑LLM checks (OpenAI, Gemini and others) and integrations with CRMs like Zendesk and Salesforce so bots can both answer FAQs and trigger account actions; Ada even offers voice automation for call‑deflection.
Real deployments can move quickly - case studies note rollouts (e.g., Upwork) in under 30 days - so pilots can cut ticket volume while preserving smooth human handoffs.
Two practical catches for local buyers: Ada's pricing isn't published (sales quotes are customised) and public reviews are mixed, so plan a short pilot and measure deflection, CSAT and escalation rates before scaling.
For teams balancing WhatsApp‑first channels and Malaysia's multilingual threads, Ada's omnichannel and 50+ language support make it a tool worth testing (see Ada's product pages and independent overviews for feature and pricing details).
Feature | Note / source |
---|---|
No‑code, drag‑and‑drop builder | Droxy: Ada chatbot overview and features |
Reasoning Engine & multi‑LLM checks | Voiceflow 2025 Ada chatbot review and analysis |
Omnichannel + Voice automation | Ada CX official product page |
Multilingual support | 50+ languages; suitable for Malaysia's multilingual threads (sources above) |
Pricing | Custom quotes only - no public list price (voiceflow / droxy) |
Trengo - Omnichannel inbox and Flowbots for social & WhatsApp support
(Up)Trengo makes a strong case for Malaysian teams that must tame WhatsApp‑first, multilingual support by putting an omnichannel inbox, no‑code Flowbots and AI Journeys to work: Trengo's AI Journeys lets teams build multilingual, automated customer journeys in minutes (70+ languages) while Flowbots automate routine steps and collect info before a human ever joins, and AI Actions can call your APIs to check order status or update customer records in real time - so agents stop juggling tabs and start solving the thornier cases.
Practical features that matter locally include WhatsApp Official Partner support, automatic AI labeling and summaries to speed handoffs, and AI CSAT to translate feedback across languages; for a walkthrough of Flowbots see the Trengo Flowbot guide and for the product overview explore the Trengo AI Journeys product overview.
The vivid payoff: brands using these flows report dramatic capacity gains during peaks, keeping customers moving through the funnel with fast, personalised replies and fewer manual steps.
Capability | Why it matters |
---|---|
Channels | WhatsApp (Official Partner), Live Chat, Email, Instagram - one inbox for consistent handoffs |
Languages | No‑code Journeys in 70+ languages for Malaysia's multilingual threads |
Customer outcomes | 5x faster response (Yobbers); 70% more leads (Bas World); 100% team efficiency gain (Surfawhile) |
“During high season, we saw a 700% increase in customer inquiries across five different communication channels and were able to handle these with ease because of Trengo.”
Tidio - Lightweight live chat and chatbots for SMEs and ecommerce
(Up)For Malaysian SMEs and ecommerce teams chasing fast wins, Tidio is a lightweight, low‑friction choice: the widget loads asynchronously so it won't slow checkout pages during peak traffic, and setup is genuinely quick - start for free and be chatting in minutes.
Its unified inbox brings web chat, WhatsApp, Instagram and Messenger into one view, while Lyro - Tidio's AI customer‑service agent - can automate roughly two‑thirds of routine requests to free human agents for tricky, revenue‑sensitive work; that means fewer abandoned carts and more time for personalised upsells, like using a real‑time cart preview to offer an instant discount.
Multilingual support and ready Flows let Malaysian teams map WhatsApp‑first journeys without a developer backlog, and the built‑in Shopify/WordPress integrations keep order lookups and refunds inside the chat so agents don't tab‑hop.
Read the Tidio Live Chat overview and explore Tidio Lyro AI features and automation to match pricing and automation to your pilot goals.
Capability | Value / note (source) |
---|---|
AI automation (Lyro) | Resolve ~67% of routine requests across chat, email & social (Tidio features and Lyro AI details) |
Free plan allowance | Free‑forever plan with a starter allotment (50 handled conversations) (Tidio Live Chat product page) |
Channels | Live chat, WhatsApp, Instagram, Messenger, email - one unified inbox (Tidio features and channel list) |
Typical setup time | Install and customise in minutes; WordPress/Shopify plugins available (Tidio Live Chat install and plugins) |
ChatGPT (OpenAI) - General-purpose generative AI for agent assist
(Up)ChatGPT (OpenAI) is a flexible, general‑purpose assistant that Malaysian customer‑service teams can use as a fast agent‑assist: it drafts and rewrites replies, summarises long chat or call transcripts, translates and adapts tone for multilingual threads, and can even analyse spreadsheets or uploaded documents to pull out the ticket‑triage fields agents need - all capabilities documented in OpenAI's ChatGPT overview.
For higher automation, ChatGPT Agents add action‑taking features (browsing, terminal/code execution, file creation and API connectors) so an agent can follow a goal - for example, resolve routine order‑status queries and escalate complex cases - a pattern that Codecademy highlights for customer support workflows and predictable volume savings (agents often handle 70–80% of routine enquiries in examples).
Practical caveats matter: agent mode typically requires paid tiers and connector permissions, and governance + active supervision are essential to avoid prompt‑injection or unintended actions, so Malaysian teams should pilot with scoped connectors, watch‑mode for sensitive tasks and clear audit rules before scaling.
Capability | What it means for Malaysian CS teams |
---|---|
Drafting, summarisation, translation | Faster replies, clearer notes, better handoffs across multilingual WhatsApp/web threads |
File uploads & data analysis | Summarise call logs or spreadsheets to speed ticket triage and reporting |
Agent mode (browsing, connectors) | Automate lookups and simple resolutions when safely connected to CRMs/APIs |
Governance & supervision | Pilot on paid plans with limited permissions and human oversight to reduce risk |
Conclusion: Choosing the right AI tool and next steps for Malaysian CS teams
(Up)Choosing the right AI tool for Malaysian customer service in 2025 boils down to three pragmatic priorities: match the vendor to your channels and volume (WhatsApp and multilingual support first), lock in governance and data‑local controls that align with the NAIO roadmap and the National AI Guidelines, and run short, measurable pilots that prove deflection and CSAT before scaling.
Start with a focused use case - an AI agent or Flowbot that handles order status or FAQs - and measure deflection, escalation rates and agent time saved (case examples show dramatic wins, including near‑full automation of routine WhatsApp queries).
Partnering with local specialists accelerates integration and PDPA‑aware deployments; see the practical playbook in the AI Agents Agency Malaysia guide and the Chambers practice guide on Malaysia's AI governance for what regulators are prioritising.
Finally, invest in people: a 15‑week upskilling sprint such as Nucamp's AI Essentials for Work fast‑tracks prompts, tooling and safe deployment so teams move from experiments to reliable service outcomes.
Treat tools as instruments - not magic - pilot small, govern hard, and scale what's proven; the result is a faster, more resilient support operation that keeps human judgement where it matters most.
Next step | Why it matters | Source |
---|---|---|
Pilot a single channel (WhatsApp/web) | Proves deflection & routing before wide rollout | AI Agents Agency Malaysia guide |
Embed governance & PDPA checks | Ensures compliance while using AI at scale | Chambers: Malaysia AI governance |
Upskill staff with short bootcamps | Faster, safer adoption and better agent‑AI collaboration | Nucamp AI Essentials for Work |
Frequently Asked Questions
(Up)Why is AI adoption accelerating for Malaysian customer service teams in 2025?
AI adoption in Malaysia is accelerating due to national initiatives (eg. the RM10 million National AI Office), Budget 2025 incentives that lower barriers to R&D and deployment, and rising customer preference for AI channels (about 47% of Malaysians now prefer interacting with brands through AI). Coordination via programmes like AI Malaysia (AIM) plus stronger vendor offerings have made omnichannel, WhatsApp-first, PDPA-aware deployments practical for contact centres.
What selection criteria should Malaysian CS teams use when evaluating AI tools?
Prioritise (1) omnichannel support with WhatsApp and web chat first, (2) proven local case studies and PDPA/data‑residency controls, (3) vendor credibility (reviews, scale, integration footprint), (4) straightforward integration with legacy CRMs and telephony, and (5) measurable outcomes (ticket deflection, first contact resolution, agent productivity). These criteria reflect Malaysian market signals (eg. Yellow.ai research showing heavy WhatsApp use) and reduce risk of costly rework or fragmentation.
Which types of AI tools deliver the fastest ROI for contact centres, and what real-world metrics can teams expect?
Fast wins come from a mix of: (a) real‑time conversation intelligence (transcription, diarization, auto‑QA and automated coaching) that uncovers compliance risks and speeds coaching (Observe.AI examples: 3B+ interactions processed annually, ~95% transcription accuracy); (b) RAG‑based helpers and ticket triage that cut backlog; (c) no‑code chatbots and Flowbots for WhatsApp-first deflection (many vendors report initial deflection of ~10–20% from KBs and case studies of higher automation); and (d) agent copilots that boost productivity (~20% uplift from tools like Zendesk Copilot). Individual vendor examples: Zendesk claims the potential to automate 80%+ of interactions (typical early automation ~10–20%), Intercom Fin case studies show up to ~65% end‑to‑end resolution, and Tidio/Lyro examples report ~67% routine request resolution. Results vary by use case - measure deflection, escalation, FCR and CSAT.
How should Malaysian teams pilot AI and measure success before scaling?
Run focused, short pilots: pick a single channel (WhatsApp or web) and one clear use case (order status or FAQs). Define KPIs up front - ticket deflection percentage, escalation rate, first‑contact resolution, average handle time, CSAT and agent hours saved - and run the pilot long enough to collect representative peak and off‑peak data. Keep governance and PDPA checks in place (scoped connectors, audit logs, watch‑mode) and partner with local integrators to speed compliant CRM and telephony integration. Upskill staff with short bootcamps (eg. 15‑week 'AI Essentials for Work' style sprint) to embed safe prompt and tooling practices.
What are key cost and governance considerations when choosing tools?
Compare pricing models (per‑agent seats, per‑resolution fees, custom enterprise quotes) and plan pilots to control spend: examples from the market include Freshdesk plans via local partners (Growth RM69/agent/month, Pro RM229, Enterprise RM375), Intercom Fin typically charged ~US$0.99 per resolved conversation plus Intercom seat fees (~US$29/seat/mo), and some tools (Ada) use custom quotes. Factor in add‑ons for telephony, QA and advanced AI features. For governance, align with the National AI Guidelines and NAIO roadmap, use vendor features like Salesforce's Einstein Trust Layer to limit LLM retention of sensitive data, restrict connector permissions, maintain audit trails, and require human oversight for sensitive workflows to remain PDPA‑compliant.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible