ENTERPRISE AI SERVICES
Enterprise AI development and delivery
We build, integrate and run enterprise AI that helps your teams use trusted knowledge, automate work and make better decisions.
A working prototype is only the start.
Useful AI needs trusted data, access to your business systems and clear ownership of what happens next.
Our enterprise AI services bring those foundations together. We define the use case, build and test the solution, then put monitoring and human oversight in place so your team can depend on it.
Enterprise AI services, from strategy to daily operations.
AI strategy and consulting
Choose the right use cases and build a roadmap your leadership can fund.
EXPLORE02Scaled GenAI and AI platforms
Shared data, model and deployment foundations for AI across your business.
EXPLORE03Applied AI solutions
Turn enterprise knowledge and documents into useful answers and drafts, with checks built in.
EXPLORE04AI managed services
Keep live AI reliable with monitoring, support and cost control.
EXPLORE05AI upskilling and training
Help your people apply AI confidently through practical, hands-on learning.
EXPLORE06Agentic AI
Coordinate multi-step work across your systems, with human approval and a traceable record.
EXPLOREContract intelligence, working in production.
KaizenIQ took contract intelligence from a stalled concept to a governed production platform: a retrieval-grounded contract chatbot and AI drafting inside one role-based procurement workspace, with a person approving every consequential output.
Bring AI into your business. Keep people in control.
Greenlight Intelligent Enterprise brings governed AI into the systems and workflows your teams already use.
We connect enterprise knowledge and applications, check AI outputs, and put human approval around consequential actions.
Where is your business with AI today?
Recognise your starting point and see the next practical step.
Testing ideas
Your team is exploring AI through early pilots.
YOUR NEXT STEPChoose one useful problem and an owner.
Going live
Your first AI solutions are in daily use.
YOUR NEXT STEPStandardise testing and ongoing support.
Scaling across teams
Several teams share an AI platform.
YOUR NEXT STEPExpand adoption with cost and risk controls.
Connecting workflows
AI supports everyday business processes.
YOUR NEXT STEPConnect tasks with clear approval points.
Improving continuously
Teams reuse and improve proven AI solutions.
YOUR NEXT STEPMeasure results and prioritise what comes next.
A team, not a transaction.
Our ML engineers, data engineers and delivery leads work alongside your team, carrying context from the first use case into live operations.
For ongoing delivery, our Global Capability Centre model gives you a dedicated engineering team. We build and run the capability. You keep the roadmap, priorities and IP.
AI shaped around your industry.
Regulation, data sensitivity, and legacy estates shape every build.
Know how your AI performs. Control what it can do.
Test quality before launch and after changes.
Track performance, unexpected behaviour and running costs.
Keep a traceable history of outputs, actions and approvals.
Require human approval where the consequences warrant it.
We build these controls into delivery. Explore our approach to Responsible AI and Governance.
Two more ways in.
Practical thinking for your next AI decision.
The thinking behind the work, written by the engineers who do it.
Why Enterprise AI Initiatives Stall After Pilots
Enterprise AI initiatives stall after pilots when workflow, ownership, controls and operations remain outside the experiment. Build the exit first.
READARTICLEAgentic AI Cost Architecture
See how data, orchestration, governance and integration choices shape agentic AI cost in production.
READARTICLE7 signs your enterprise architecture is blocking AI adoption
The constraints that stop AI reaching production are usually architectural, and visible long before the pilot.
READThe five we answer most.
With a short, honest assessment of why. We look at the use case, the data, and the missing production infrastructure, then either re-engineer the strongest pilot toward production or redirect the effort. Our AI Readiness Assessment does this in two weeks.
Not for everything. Many high-value use cases can launch on a scoped, fit-for-purpose data foundation while a broader platform matures in parallel. We assess readiness first rather than gating all AI behind a multi-year data program.
Governance is engineered in: evaluation, monitoring, audit trails, and human oversight aligned to your regulatory context: NIST AI RMF, Australia's AI Ethics Principles, ISO/IEC 42001, and data laws such as the Privacy Act 1988 and India's DPDP Act.
Yes. Our dedicated-team and staff-augmentation models embed with your engineers and complement your existing cloud and partner ecosystem.
Through platform reuse, model right-sizing and routing, caching, and active AI FinOps, so cost tracks value in cost-per-task terms, not a runaway monthly GPU bill.
Name the workflow that costs you most. We'll show you the shortest credible path.
Time, risk, or money. Tell us where it hurts, and we will map it to AI in production from where you actually are today.