Enterprise AI
Transformation

From AI Awareness to Enterprise AI Adoption

A structured, role-based programme that builds AI capability across your entire organisation.

Powered by Orbit
Assessments, labs, analytics
and learning records —
unified into a single platform.
Assessments
Cloud Labs
Coding Platform
Capstone Project
Learning Passport
AI Insights
Explore the participant experience →
Transformation
Productivity
Innovation
Governance
6+
AI Learning Levels
(L0 → L5)
4
Role-Based
Learning Tracks
100+
Enterprise Clients
Trained
4.9
Average CSAT
Score

AI is transforming every
function. Is your workforce ready?

Most organisations don't lack AI interest — they lack a structured way to build it. So it stays interest — never capability.

The pattern
Inconsistent AI Adoption
Siloed Learning Programmes
Governance & Risk Exposure
Unmeasured ROI
Wrong Skills for Wrong Roles

Six levels. One connected learning arc.

L0
AI
AWARE
L1
AI
PRODUCTIVE
L2
APPLIED
GENAI
L3
AI
ENGINEER
L4
ENTERPRISE
AI
L5
AI
LEADER

Every participant assessed and placed at the right level. Every journey tailored to role and business context.

Right skills. Right role. Right impact.

Track 1
Business Users
Work Smarter with AI
  • AI Productivity Tools & Copilots
  • Prompt Engineering for Business
  • AI-Assisted Workflows
  • Data Literacy for Decisions
  • Mastering Excel with AI
Track 2
Managers & Leaders
Lead AI Transformation
  • AI Strategy & Roadmapping
  • AI Governance & Risk
  • Responsible AI Principles
  • Change Management for AI
  • Measuring AI Impact & ROI
Track 3
Technical Teams
Build AI Solutions
  • Generative AI with Deep Learning
  • Agentic AI with LangChain & RAG
  • AI APIs & Integration Patterns
  • MLOps & Model Deployment
  • AI Engineering Best Practices
Track 4
AI Specialists
Design. Build. Scale.
  • LLM Fine-Tuning & MLOps
  • Advanced LLM Engineering
  • AI Architecture & Scaling
  • Responsible & Secure AI
  • GenAI on Azure — Copilot & AI Studio

Six modules across the whole
of enterprise AI adoption.

MODULE 01
AI Foundations
AI LiteracyResponsible AIAI Awareness
MODULE 02
GenAI for Business
PromptingProductivityAutomation
MODULE 03
Copilot Enablement
Microsoft CopilotGitHub CopilotM365
MODULE 04
AI for Engineering
SDLCAgentic AIAI DevOps
MODULE 05
Enterprise AI Governance
SecurityComplianceResponsible AI
MODULE 06
Applied AI Use Cases
OperationsAnalyticsCX

Built for enterprise scale. Run like infrastructure.

Instructor-Led Cohorts
Enterprise Bootcamps
Virtual / Hybrid Delivery
Hands-On Cloud Labs
Capstone Projects
Assessments & Certifications

Orbit runs the programme.

Orbit — Enterprise Programme Console
Live
Learning Paths
Role-mapped curricula, versioned and assigned
Business Units
Functions, regions and divisions in one view
Cohorts
Grouped intakes with schedules and mentors
Participants
Every learner, level and status tracked
Trainers
Practitioner faculty and your own SMEs
Progress
Live completion and capability uplift
Labs
Sandboxed, GPU-enabled hands-on environments
Assessments
Pre and post scoring with measurable deltas

Complete operational visibility across the entire programme — every learning path, cohort and participant, in one place.

Seven steps from Discovery to Impact.

01
Discovery & Assessment
02
Competency Mapping
03
Curriculum Design
04
Pilot Cohorts
05
Enterprise Rollout
06
Assessment & Governance
07
Continuous Enablement

Measurable business impact.
Not just training completion.

Workforce Productivity
AI Adoption at Scale
Innovation Velocity
Operational Efficiency
Responsible AI

Capability that outlasts one programme.

Projects
Assessments
Skills
Certifications
Badges
Programme history
Growth timeline

From pilot to enterprise-wide.

Rollout reach
Pilot Department Business Unit Enterprise Global
Programme structure
One Programme Multiple Learning Paths Thousands of Learners Complete Visibility

Trusted by enterprise L&D and technology teams.

100+
Enterprise clients trained
4.9
Average CSAT across programmes
4
Role-based tracks spanning C-suite to code
Trusted by teams at
★★★★★

“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.”

Shashidhar NMV · AGM, Program Management
L&T Technology
★★★★★

“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.”

Alsaad Ishaq · Competency Development, L&D
Honeywell
★★★★★

“Highly practical programmes aligned with business expectations. Strong industry experience from their trainers, and learner feedback across batches was consistently positive.”

Sonika Bisht · Head, Program Management
Samsung
Let's design your transformation programme.
Join a live cohort as an individual — or bring enterprise-grade training to your team.
Book a free consultation
FAQ

Frequently asked questions

Do business users and AI engineers follow different paths?

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.

How do we prove AI capability improved, not just attendance?

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.

How does Orbit sit alongside our current L&D tools?

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.

Can you run this across global offices and time zones?

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.

Can our own AI leads or SMEs deliver part of it?

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.

What visibility do leaders get on AI readiness?

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.

What is an AI capability framework?

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.

How do you upskill an entire team in AI?

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.

How long does it take to make a workforce AI-ready?

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.

Which roles in a company need AI training?

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.

Drop us a query
💬
Request a Demo
We'll get back within one business day.

We respect your privacy. Your details will only be used to respond to your enquiry.

We'll be in touch soon.

Thanks for reaching out. Someone from our team will call you within one business day.