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A bright product strategy workspace overlooking Kuala Lumpur

AI consulting, integration, and app development

AI that doesactual work.

Consulting, integration, and apps built around the way your business already runs.

Practical, hands-on AI.

AI consulting
AI integration
App development

Most AI work stalls between the demo and production. We close that gap with the permissions, evaluation, interfaces, and operational discipline a real system needs.

Built around the work.

We find the valuable workflow, prove it against real data, then wire it into the systems your team already uses.

01

AI consulting

Work out where AI fits, and where it does not.

We start with your actual operations, not a model. You get a ranked list of workflows worth automating, the effort behind each one, and an honest account of what your data can and cannot support yet.

  • Workflow and opportunity mapping
  • Build, buy, or leave alone
  • Data readiness review
  • Running cost and risk modelling
02

AI integration

Wire models into the systems you already run.

The gap between a working demo and something your team trusts on a Monday morning is where most projects stall. We close it: retrieval over your own documents, agents that call your real APIs, and the evaluation harness that proves it behaves.

  • Retrieval over your documents
  • Agents wired to your internal APIs
  • Evaluation suites and guardrails
  • Tracing, logging, and cost controls
03

App development

Build the product around the model.

A model is not a product. We build the web apps, internal tools, and APIs that put it in front of the people who need it, then ship them on infrastructure you can afford to keep running.

  • Web apps on Next.js and React
  • Internal tools and admin surfaces
  • APIs, jobs, and data pipelines
  • Deployment, monitoring, and handover

How an engagement runs

From shortlist to something you operate.

Four phases. You can stop after any one of them and still own everything produced up to that point.

01

Diagnose

Two to three weeks inside your operation. We interview the people doing the work, read the systems, and come back with the shortlist of things worth building.

  • Stakeholder interviews
  • Systems and data audit
  • Ranked opportunity list

02

Prototype

One narrow slice, built for real against real data. If the accuracy is not there, you find out now rather than after the integration budget is spent.

  • Working slice, real data
  • Accuracy baseline
  • Go or no-go call

03

Integrate

The prototype becomes part of the stack. Authentication, permissions, audit trails, failure paths, and the evaluation suite that catches regressions before your customers do.

  • Production wiring
  • Permissions and audit
  • Regression evals

04

Operate

Someone has to watch the thing. We run it while your team learns it, then hand over the documentation, the dashboards, and the on-call knowledge.

  • Monitoring and cost review
  • Model and prompt updates
  • Team handover

Useful systems, in the open.

An analyst cross-referencing a contract with a digital source

Document intelligence

Retrieval and extraction across contracts, reports, and years of support history, with every answer citing the page it came from.

An operations engineer arranging an automated workflow

Agent workflows

Processes that read a queue, decide, call your APIs, and hand back to a person the moment confidence drops.

A customer using a mobile service application

Customer-facing apps

The portal, internal tool, or product surface that puts the system in front of the people who actually use it.

The stack we work in.

  • Anthropic
  • Next.js
  • React
  • TypeScript
  • Python
  • PostgreSQL
  • Supabase
  • Vercel
  • Docker

Working together

The questions we get asked first.

How does a first engagement usually start?

With a paid diagnostic, normally two to three weeks. You get the opportunity shortlist and the effort estimates whether or not you continue with us.

Do you work with our existing development team?

Often, yes. We pair with in-house engineers, leave the patterns behind in your repository, and step back once your team is running it.

Which models do you build on?

Whichever fits the task and the budget. We stay portable across providers and open-weight models, and we measure before switching.

What happens to our data?

It stays in your infrastructure wherever the workload allows. Where a third-party model is involved, we document exactly what leaves and under which retention terms.

Can you take a project the whole way?

Yes. Consulting, integration, and the application around it are the three things we do, and most clients use all three in sequence.

Where are you based?

BES Digital Sdn Bhd operates from Malaysia and works with clients remotely across the region.

Have a workflow?Let's make it work.

Tell us where the work slows down. We'll help you decide what is worth automating—and build it if the case is real.

Optional.

A few sentences is plenty. Volumes and systems involved help most.

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