A structured, role-based programme that builds AI capability across your entire organisation.
Most organisations don't lack AI interest — they lack a structured way to build it. So it stays interest — never capability.
Every participant assessed and placed at the right level. Every journey tailored to role and business context.
Complete operational visibility across the entire programme — every learning path, cohort and participant, in one place.










“One of the key strengths of Greater Insights is their flexibility and execution capability. From niche technology requirements to large-scale virtual programmes, the team demonstrated strong ownership and delivery quality throughout the engagement.”
“Their understanding of enterprise learning expectations and focus on practical application added significant value. Well-structured, hands-on programmes that addressed our capability development objectives precisely.”
“Highly practical programmes aligned with business expectations. Strong industry experience from their trainers, and learner feedback across batches was consistently positive.”
Yes — that's the point of the framework. A marketer learning to use AI safely and an engineer building production models are on completely different tracks, and each track tunes further per business unit so people learn only what their role actually needs.
Every participant is assessed before and after, so you get a capability-uplift score, not a completion tick. The capstone ties it to a real AI use case from your business — leaders see working output, not a certificate.
Orbit is the platform we run the programme on — paths, cohorts, assessments and progress in one place. It runs alongside what you already use, giving your L&D and leadership their own live view. Direct LMS/HRIS integration is on the roadmap.
Yes. Sessions are virtual, hybrid or in person, and cohorts schedule across cities and time zones. Teams in different regions see one connected programme, with progress tracked centrally.
Yes. Alongside our practitioner faculty, your own AI leads and subject-matter experts can be onboarded to run sessions — so your internal context, tooling and models are part of the learning.
Leaders get a live view of progress, completion and capability uplift by path, cohort and business unit through Orbit — so you can see where the organisation is AI-ready and where it isn't, without chasing spreadsheets.
It's a structured way to build AI skills across a whole organisation — not a one-off course. Every role, from business users to engineers to leaders, follows a defined path from AI awareness through to building and governing AI in production. The point is capability you can measure, not a certificate you can frame.
Start by mapping what each role actually needs — a marketer and an ML engineer don't need the same thing. Then run live, hands-on training against real work, assess before and after, and tie it to a project people ship. Watching videos builds awareness; doing the work builds capability.
It depends where you start and how many roles you're moving — but readiness comes from a sequenced path, not a single week. We assess and place each person at the right level, so no one sits through basics they already have or gets thrown in too deep.
More than you'd expect. Business teams need to use AI safely, analysts and engineers need to build with it, and leaders need to govern it and read the numbers. The gap usually isn't the engineers — it's everyone around them. A real framework spans C-suite to code.