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Business AI solutions in Singapore

Turn operational data into decisions that move.

Manual work is taking time away from growth. Tan & Co. builds practical AI for Singapore SMEs and mid-market teams, with clearer forecasting, faster workflows, and measurable control over daily operations.

Schedule your AI strategy consultation Explore our services
PDPA-conscious delivery with local support from Onraet Road.
Built for Singapore teamsData nodes connect people, processes, and decisions across one working view.
12+Industries served
35%Average efficiency gain
98%On-time deployment
Trusted in practice

Trusted by teams across Southeast Asia

Operations leaders bring us problems with a clear cost: late routes, missed stock signals, slow reviews, and scattered data.

Evidence first. Always.

Logistics networks
F&B operators
Healthcare groups
Professional services
IMDA AI VerifyParticipation and responsible AI checks
PDPA-aware deliveryAccess controls, retention, and data review
AWS Partner NetworkCloud architecture for growing teams

"Tan & Co. transformed our contract review. We cut turnaround from two weeks to three days."

Legal Director, SG Law Corp.
What we build

Core AI services with a clear business case

Start with one costly bottleneck. We map the process, test the data, and show the result before a wider rollout.

Process automation

Invoices, approvals, handoffs, and recurring admin work move through one dependable workflow.

See process automation

Data analytics and insights

Bring operational data together, spot anomalies early, and give managers a dashboard they can act on.

See data analytics

Predictive modelling

Forecast demand, identify churn risk, and plan capacity with models grounded in your own records.

See predictive modelling

Decision support

Compare scenarios, recommend the next best action, and make constraints visible before you commit resources.

See decision support
Sector experience

AI shaped around how your industry works

The right model depends on the decisions your team makes every day. Choose a sector to see a focused starting point.

Professional services

Reduce review time and find key obligations across client documents.

Logistics

Cut fuel costs with route planning that responds to live constraints.

Retail and F&B

Predict demand and reduce stockouts across locations.

Healthcare

Improve patient flow while keeping staff decisions visible.

Real estate

Prioritise leads, maintenance, and occupancy signals.

HR and recruitment

Shorten screening cycles with consistent candidate workflows.

E-commerce and fintech

Score risk and improve customer decisions with better signals.

Manufacturing and construction

Monitor assets, materials, and delivery milestones in one view.
A practical starting point

Is your business AI-ready?

Answer seven short questions about your processes, data, and team. You will see the next sensible step, even if the answer is to fix the basics first.

How often does your team repeat the same data entry?

Measurable outcomes

Real results for Singapore companies

Every engagement starts with a baseline. These examples show the type of result a focused AI project can produce.

22%

Lower fuel costs

Dynamic route optimisation helped a logistics operator respond to traffic, vehicle capacity, and delivery windows.

View logistics solution
30%

Fewer stockouts

Demand forecasting gave an F&B chain a better view of store-level patterns and replenishment timing.

View F&B solution
60%

Faster contract review

Document analysis helped a legal team find clauses and exceptions without replacing professional judgement.

View services solution
40%

Better patient flow

Scheduling intelligence reduced avoidable waiting and gave a healthcare team clearer capacity signals.

View healthcare solution
How we work

A four-step implementation framework

Good AI work is measured in the workflow, not in a demonstration. Each stage has a clear handover and a business measure.

01

Discover

Audit the process, data sources, constraints, and opportunity cost.

02

Design

Set the architecture, success measure, and proof-of-concept scope.

03

Deploy

Connect the tools, train users, and manage the change with your team.

04

Optimise

Monitor performance, review drift, and improve the model as work changes.

Local expertise

Singapore-based AI experts you can trust

Our team joins the business conversation early. That keeps the technical choice tied to the result your people need.

Singapore-based AI architect reviewing a model dashboard in a bright office

Meijin Perral

Lead AI Architect

Fifteen years of enterprise machine learning delivery across ASEAN, with a focus on systems people can operate.

Data scientist examining supply chain charts beside a window in Singapore

Edho Selvarajan

Senior Data Scientist

Builds forecasting and anomaly models for supply chain, retail, and operational planning teams.

Business transformation lead speaking with a client team around a meeting table

Kandasamy Monawar

Business Transformation Lead

Helps SME leaders turn a useful prototype into a working habit with clear ownership and training.

Client perspective

What clients say after implementation

Specific improvements matter more than polished promises. Here is what leaders noticed in their teams.

"We stopped planning routes from yesterday's assumptions. The operations desk now sees a practical option before the first vehicle leaves."

Meijin P.Operations Director, regional logistics group

Why did we choose Tan & Co.? Because they asked about our approval rules before proposing a model. The rollout fit the way our stores actually work, and our planners could explain every recommendation to the team.

Takahisa TrillianezCommercial Lead, Singapore F&B operator

"The reporting view replaced hours of spreadsheet checks. We can see exceptions early and spend the meeting deciding what to do."

Kf E.Technology Lead, healthcare services group
Clear answers

Frequently asked AI questions

Good decisions need practical detail. Here are the questions Singapore business teams ask first.

How long does an AI project take?

A focused project usually takes four to twelve weeks. The timing depends on data access, system integration, review requirements, and how many teams need to use the result.

Do we need an in-house data team?

No. We can work with your existing technology and operations staff, document the decisions we make, and help you build the internal skills needed for ongoing ownership.

How is our business data protected?

We review access, retention, residency, encryption, and vendor responsibilities during discovery. Implementations can run in your cloud environment or on premises when the data requires it.

What does an AI project cost?

Cost depends on the workflow, data condition, integrations, and support period. A consultation gives you a written scope and a realistic estimate before work begins.

Can AI help a smaller business?

Yes, when the process is specific and the measure is clear. Common starting points include invoice handling, demand planning, customer triage, scheduling, and document review.

Practical insight

Insights for your AI planning

Use these starting points to spot a good first project and avoid expensive assumptions.

AI for SMEs: where to start

Find the process with enough volume, clean enough data, and a result your team can measure within one quarter.

Read the guide

Avoid common automation pitfalls

Learn why unclear ownership, weak exception handling, and rushed integration can undo a promising pilot.

Read the guide

PDPA and practical AI governance

Set sensible access, review, and retention rules before a model touches sensitive business information.

Read the guide
Start a conversation

Ready to improve one important workflow?

Tell us what is slowing your team down. We will bring the right technical and business questions to the first discussion.

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