We help enterprises build the next generation of agentic business
Most enterprises do not have an AI tooling problem. They have an operating model problem: work is not decomposed into units that can be delegated, authority is undefined, and nobody can say whether an agent did the job. We fix the model first, then build what it requires — and we have been doing this long enough to know which parts usually fail.
Singapore
34 Floor, 77 Robinson Road, Singapore 068896
Global, not regional
One market and one business line sit in Hong Kong. The group is the whole picture.
Human Machine Capital
People and agents as one class of operating asset. Internally: Pure Lam.
50+ mega projects
Large-scale programmes delivered across Asia, with clients in over 190 countries and territories.
From learning management to human machine capital
We started in enterprise learning management because that is where the discipline was hardest to fake. Learning either changes behaviour or it does not, and you cannot hide a bad curriculum behind a good platform.
That discipline is exactly what enterprise AI needs. The same questions apply: is the model of the business correct, is the decision right, is the outcome measurable, and does it hold up when someone senior asks why? Twenty-five years of arguing with executives about learning outcomes made us unusually sceptical of AI claims, and unusually good at separating the ones that survive contact with production from the ones that do not.
Today the group runs three connected businesses. Two enterprise platforms — one where agents are built and governed, one where people at their desks actually get work done with agents — form the technical carrier. Six consulting practices carry responsibility for the parts that are genuinely hard, led by Agentic Business Strategy. Next-generation learning builds capability in the three carriers an agentic business runs on: employees, external partners and digital employees. wizBank, with 10 million learners behind it, remains the system of record for organisations that need one.
All three share a premise: Pure Lam — human and machine capital as one operating asset. Your people and your agents both need explicit authority, governed knowledge, measured performance and evidence of what they did. Treating them as one asset is unusual in this market, and it is the reason our learning business and our AI business sit inside the same firm.
What we believe
- Operating model before technology. Delegation without a written mandate is a liability with API access.
- Shared semantics first. The model of the business is the asset. The platform underneath is replaceable.
- Behaviour over activity. A programme that changes nothing on Monday was a waste of budget.
- Governance is design. Controls built after launch are why programmes get switched off.
- Build to transfer. Our success is your capability, not your dependency on us.
What we do not do
We do not run AI programmes as open-ended R&D, we do not resell seats without implementation, and we do not take on engagements where we cannot name the metric that would prove it worked. If your objective is a demo rather than an operating change, we will say so early — that conversation is cheaper than a stalled programme.
How we got here
Enterprise learning systems built before generative AI existed. The LMS discipline — records, evidence, completion that means something — predates the current hype cycle by more than a decade.
Institutional investment from Morningside, on the view that enterprise capability and enterprise technology belong to the same company.
A second round from a family office and private equity, funding the agentic business and learning platform build-out across Asia.
Consultants and technical staff across Asia — enough to run parallel workstreams in multiple markets, and to staff a 24-month programme properly.
Large-scale programmes delivered, most recently including a global beverage group's agentic operations build, starting with agentic operations rather than a platform purchase.
One proposition: help enterprises build the next generation of agentic business. Two businesses. One learning system underneath.
Three businesses, one argument
Each of these stands on its own commercially. They are in the same group because an agentic business that fails at any one of the three does not work at all.
Two enterprise platforms
We are an authorised enterprise delivery partner for two agent platforms, and we name neither. One is the agent runtime where builders take agents from prototype to production and keep them governed. The other is the work platform where each employee has AI that actually completes tasks — research, drafting, spreadsheets, presentations, and operating legacy systems. The platform is the vehicle. It is not the strategy.
Six consulting practices
Agentic Business Strategy is the flagship — it decides what may be delegated and at what authority. Around it sit enterprise ontology, agent infrastructure and context engineering, agentic skills and training, AI governance and compliance, and layered AI, data and context training for your technical and business teams.
Next-generation learning
The object of enterprise learning is no longer a course completion rate. It is capability in three carriers: employees learning to work alongside digital employees, external partners operating inside your standards, and digital employees themselves being trained — given knowledge, skills, evaluation, permissions and compliance evidence. This is the foundation of an agentic business, not a service attached to one.
How the group is organised
The firm today
300+ consultants and technical staff
Business architects, AI strategists, ontology architects, learning and simulation designers, platform and integration engineers, and delivery directors — operating as one bench across the region rather than separate partner firms.
Hubs across Asia
Client-facing teams in Singapore, Kuala Lumpur, Jakarta, Hong Kong SAR, Tokyo, Seoul and Sydney, with shared engineering and content production capacity behind them.
Multi-country programmes
Clients across more than 190 countries and territories, served through wizBank — with delivery capability for programmes that span jurisdictions, languages and regulators.
The group today
Singapore group · Hong Kong SAR learning
Asia Pacific, Europe, Middle East
Each with a named first workflow
Cyberwisdom Academy library
Patient capital for a long build
Morningside has invested more than US$20 million, and family office and private equity investors a further US$30 million in a Series B. That capital funds something with a long horizon: the semantic and context foundations that make agents reusable, the governance and evaluation tooling, and a large body of enterprise courseware.
Long-horizon capital changes how you build. We can invest in foundations — ontology work, context engineering, agent governance, simulation authoring, the learning library — that a business on annual budget cycles would never justify on its own.
What the capital funds
- Platform engineering — the two agent platforms we deploy for clients, plus the integration, evaluation and observability layers around them
- The semantic foundation — enterprise ontology and context engineering, so the tenth use case costs a fraction of the first
- The courseware library — sustained production of AI, data, governance and digital-employee training at scale
- The consulting bench — hiring and developing the strategists, architects and engineers who deliver
- Regional depth — delivery capability in the markets our clients actually operate in
Practitioners, not career consultants
Our leadership team has spent their careers inside enterprise operations, learning organisations and technology delivery. Most still carry client work.
R. Karunakaran
Group Chief Executive
Twenty years in enterprise learning technology and services delivery across Asia. Founded the consulting practice on the conviction that technology firms should be accountable for outcomes, not for delivery milestones.
S. Iyer
Chief Technology Officer
Architect of the agent runtime and the data and context layers beneath it. Leads the engineering bench across platform, integration, evaluation and applied AI.
M. Tan
Partner, Enterprise Learning
Leads learning strategy, compliance and CPD, and the simulation format. Specialist in regulated-sector capability assurance across the Hong Kong market and beyond.
L. Wong
Partner, Enterprise AI
Fifteen years delivering AI and operating model programmes in banking, telecoms and industrial groups across the region.
Six things we believe, and will hold you to
Not slogans. These are the positions that show up in how we scope, how we build and what we refuse.
The platforms matter, but the judgement matters more. We will regularly recommend a workflow you should not automate yet — and that is the most valuable thing we say in a first meeting.
Every workflow we put into production has a named human approver, a decision log, and a stated list of what the agent may not do. Without those three things, it is automation with better marketing.
Employees, external partners and digital employees all need to be taught, and in the case of agents, taught by agents. If the learning system is not part of the build, the operating model will not hold.
Twenty industries, and for each one we publish the point where agentic operation genuinely starts and where we are the wrong answer. Clients trust the work because of the boundaries, not despite them.
Supervision records, evaluation results and training completion go into the LMS as evidence from week one. Assembling an audit trail after the fact is a different, more expensive, less credible exercise.
We work across agent platforms and will say plainly which one fits which constraint. We do not resell somebody else's roadmap as our own differentiation.
Where we are
The group is headquartered in Singapore and operates globally. Our enterprise learning business has its own headquarters in Hong Kong, serving that market and the region's compliance training needs — one line of one group, not the whole company.
Singapore
34 Floor, 77 Robinson Road, Singapore 068896. Group operating centre, consulting leadership, platform engineering and the courseware production studio.
Hong Kong SAR
Headquarters of the enterprise learning business, covering Hong Kong enterprise learning and compliance training as part of the group.
Kuala Lumpur & Jakarta
Delivery and client consulting across Malaysia, Indonesia and the wider region.
Tokyo, Seoul & Sydney
Regional consulting, content localisation and enterprise programme delivery.
Two headquarters, one group
The enterprise learning business has its own centre of gravity in Hong Kong SAR, which is where the 25-year LMS heritage lives. The group function sits in Singapore.
- 34 Floor, 77 Robinson Road, Singapore 068896
- Group strategy, consulting and enterprise AI delivery
- Client relationship ownership for the region
- Coordination across the APAC delivery teams
- Hong Kong SAR
- LMS, TMS and custom courseware business
- Cyberwisdom Academy and the off-the-shelf catalogue
- Partner and workforce enablement programmes
Where our delivery is densest
Our two headquarters are Singapore (group) and Hong Kong SAR (enterprise learning). Delivery capacity extends across Asia Pacific.
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What this page answers
Every topic below is covered in the sections above, and each links to the page that goes deeper on it.
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