AI Strategy & Digital Transformation
Set an AI charter around real commercial priorities. Leave with a board-ready roadmap, owners, and a sequence your team can act on.
Learn moreAI business consulting in Singapore
Turn Singapore's Smart Nation advantage into your competitive edge.
Your competitors are already using AI to shrink costs and uncover new revenue streams. Lorong AI gives leaders a clear AI strategy, measurable implementation plan, and governance their teams can trust.
Built in Singapore for organisations across Southeast Asia.
AI decisions with a business case.
Strategy, delivery, governance.
200+AI projects deployed
98%Client retention
6ASEAN markets reached
Trusted by ambitious organisations
From SME digitalisation grants to enterprise-wide AI roll-outs.
NORTHSTAR LOGISTICS
MERIDIAN BANK
HARBOUR HEALTH
CIVIC LINK
LANTERN RETAIL
What we do
End-to-end AI capabilities, strategy through ethical scaling.
Lorong AI does not sell disconnected tools. We set direction, put working systems into use, and measure the operating result.
Data Analytics for Growth
Bring scattered operational data into decisions that managers can use. We find the signals behind margin, demand, and customer behaviour.
Learn moreMachine Learning Implementation
Move a valuable use case beyond the pilot. Our data and ML specialists build, test, deploy, and monitor models with your team.
Learn moreAI Ethics & Governance
Make accountability part of delivery. Our framework supports PDPA-aware controls, human review, model records, and practical risk decisions.
Learn moreCustomer Analytics & Personalisation
Understand intent without losing customer trust. Build useful segments and timely experiences around consented, well-governed data.
Learn moreIndustry solutions
Sector-specialist AI that speaks your business language.
Good AI work starts with the workflow. We know where value and risk sit in Singapore's most active sectors.
Logistics & Supply Chain
Reduce failed deliveries, forecast demand, and give planners a clearer view of exceptions.
34%
fewer failed deliveries in a client pilot
See logistics solutions
Healthcare & MedTech
Improve scheduling and patient access while keeping sensitive information under clear control.
28%
fewer appointment no-shows
See healthcare solutions
Financial Services & InsurTech
Give risk teams explainable scoring, stronger monitoring, and governance that stands up to review.
12 weeks
to deploy compliant fraud scoring
See finance solutions
Retail & Consumer Tech
Read demand and customer intent more accurately, then turn those findings into better decisions.
18 months
from pilot to enterprise deployment
See customer solutions
A useful first step
How AI-ready is your organisation?
Five plain questions reveal where to focus first: data maturity, leadership alignment, use-case clarity, infrastructure, and governance.
Start with the gap. Then make a practical plan.
Client outcomes
Real outcomes crafted for real businesses in Singapore.
The work is measured in operating results, adoption, and decisions that hold up after launch.
Logistics
Fewer delivery failures
34%
Route and exception data gave an established logistics firm earlier signals and fewer repeat failures.
"The team helped our planners trust the numbers and act earlier."
Read full storyHealthcare
More patients reached on time
28%
A healthcare chain used appointment patterns to reduce no-shows without adding work for clinic staff.
"The recommendation was simple enough for every clinic to use."
Read full storyFinTech
Fraud scoring in 12 weeks
12 weeks
A growing finance team deployed a compliant scoring model with clear review points and explainable outputs.
"Governance was built into the delivery plan from the first workshop."
Read full storyHow we work
Our Think-Build-Scale framework.
Each stage has a decision, a working artefact, and a clear owner.
01
Think
Assess readiness and define an AI charter around the result your business needs next.
02
Build
Prototype with live data, test assumptions, and make ethics-by-design part of every iteration.
03
Scale
Productionise the solution, govern its use, and measure ROI with people who own the outcome.
The people behind the work
Built by practitioners, not just theorists.
Our Singapore team brings strategy, data science, delivery, and governance into the same room.
XP
Xuedun Pitriani
AI Strategy Principal
Leads AI charters and operating-model work for Singapore and ASEAN organisations.
15 years in transformationAC
Ankor Adriatico
Head of Data & ML
Turns messy operational data into models that teams can monitor and use.
12 years in applied MLJK
Jenalyn Kawa
Ethics & Governance Lead
Helps leaders set defensible controls for privacy, accountability, and human review.
Former regulatory adviserClient perspective
Words we work hard to earn.
Trust grows when recommendations survive contact with daily operations.
“
We moved from an interesting pilot to a roadmap our board could approve. The first use case had an owner, a measure, and a sensible risk boundary.
Ragulan CohOperations Director, regional logistics group
“
Why did we choose Lorong AI? Because they asked about our clinic workflow before proposing a model. The result fitted the people who had to use it.
Joean DhakaChief Operating Officer, healthcare network
“
Our risk team could challenge the scoring logic and still keep delivery moving. That balance mattered.
Ely MurugaProduct Lead, Singapore FinTech
“
The readiness work showed us which data issue to fix first. We stopped debating AI in the abstract.
Clarie DockongDigital Lead, consumer business
“
Our teams now share the same language for value, model risk, and adoption. That has changed the pace of decisions.
Kimkiat OgataTechnology Director, ASEAN enterprise
“
Lorong AI stayed close to the commercial question. The technical work was rigorous because the purpose was clear.
Crist NesperosManaging Director, growth-stage company
Practical answers
Questions smart leaders ask before an AI engagement.
Is my data enough?
Often, the first useful step is to assess what you already have. We map quality, access, ownership, and gaps before recommending a use case.
How long until we see ROI?
The timeframe depends on the workflow and data condition. We set an early measurable outcome, then plan the work needed for production.
Do you work with SME-sized budgets?
Yes. We start with a focused business question and a delivery shape that matches your resources. A clear boundary protects the budget.
How do you handle data privacy under PDPA?
Privacy and governance are reviewed during design, not added at the end. We document purpose, access, retention, human review, and accountability.
Can you co-develop with our in-house team?
Yes. Our specialists work alongside your product, technology, operations, and risk teams so knowledge stays inside the organisation.
Sector perspective
Before you invest, benchmark your sector.
Get the Southeast Asia AI Adoption Benchmark Report 2025. It covers readiness patterns, governance priorities, and practical signals for leaders planning their next step.
Useful context for your next leadership discussion.
Your next quarter starts here
Let's turn AI possibility into your next quarter's performance.
Bring one business question. We'll help you test its value, identify the constraints, and decide what deserves investment.
23 Olive Road, Singapore 298140 · [email protected]