Kilau Neural — ML solutions overview

Three engagements.
Each with a clear purpose.

Our practice is built around three distinct engagement types. Each addresses a specific category of AI problem. Each has a defined scope, a stated price, and documented deliverables.

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How we approach every engagement

All three of our engagement types follow the same underlying discipline: define the problem in writing, agree on what success looks like before any work begins, build evaluation infrastructure before building models, and close with structured knowledge transfer to your team.

The specific deliverables, timeline, and cost differ across engagement types, but the methodology does not. We do not apply different quality standards depending on the size of an engagement. A Senior Briefing receives the same level of preparation and post-session documentation as a multi-month Capability Build.

We work in English throughout. Written deliverables are in English. For clients with Malay-language preferences in internal communications, we can discuss arrangements at scoping.

01

Written problem statement

Agreed and signed before any work begins

02

Success criteria definition

Measurable outcomes agreed upfront

03

Evaluation before building

Test infrastructure precedes model work

04

Structured knowledge transfer

Documentation reviewed with your team at close

End-to-End Capability Build

A substantive engagement, typically three to four months, in which we work alongside an operating Malaysian business to design, build, deploy, and document a complete machine learning capability addressing one specific business question.

The capability includes the model itself, the data pipeline that feeds it, the monitoring and evaluation infrastructure that surrounds it, and the documentation required for the firm's internal team to maintain it. We are deliberate about scope: we deliver one capability done well rather than several done loosely.

Model design and training against your production data
Data pipeline construction and documentation
Evaluation infrastructure: test sets, protocols, deployment integration
Monitoring setup for production drift detection
Internal documentation written for your team's maintenance needs
Structured handover session with your technical team at close
End-to-End Capability Build
01

Problem definition and scoping

Written problem statement; data audit; feasibility assessment

02

Evaluation infrastructure build

Test set construction; evaluation protocol definition; tooling setup

03

Pipeline and model development

Data pipeline build; model training and iteration; review with your team

04

Deployment and handover

Production deployment; monitoring setup; documentation review; handover session

3–4 months
Evaluation Framework Engagement
01

Evaluation audit

Review current deployment process; identify evaluation gaps; document findings

02

Test set construction

Sample from production data; label representative examples; document methodology

03

Framework documentation

Written evaluation protocol; metric definitions; acceptable threshold guidance

04

Deployment integration

Integration with your CI/CD or deployment process; team walkthrough

6–8 weeks

Evaluation Framework Engagement

A focused engagement for firms whose existing AI work suffers from inadequate evaluation — that is, the team is shipping changes without a reliable way to know whether things have improved.

We work with the team to construct a written evaluation framework, build a representative test set drawn from real production data, and integrate the evaluation into the team's deployment process. The output is a measurable shift in how the team understands the quality of its own work.

Audit of current evaluation practice and gaps
Representative test set built from production data
Written evaluation framework with metric definitions
Integration with your team's deployment workflow
Team walkthrough and documentation review

Senior Briefing on AI Choices

A two-hour structured briefing for senior leadership on the practical choices a firm faces when introducing AI systems into its operations — build versus buy, internal versus external hosting, data residency, governance and disclosure obligations under Malaysian and ASEAN regulatory frameworks.

The session is conducted in person at the client's premises, with a written follow-up note delivered the following day. Useful for boards and executive teams about to commission their first substantive AI initiative.

Two-hour structured session at your premises
Build vs buy, hosting, and data residency considerations
PDPA and ASEAN AI governance obligations covered
Written follow-up note delivered the next working day
Suitable for boards, C-suite, and senior leadership teams
Book a Briefing MYR 530
Senior Briefing on AI Choices
01

Pre-session questionnaire

We collect context on your current AI considerations and team composition

02

Two-hour in-person session

Structured presentation; open Q&A; practical decision framework

03

Written follow-up note

Delivered the following working day; suitable for board distribution

1 day (session + note)

Which engagement fits your situation?

Use this table to orient your thinking. If you are unsure, the Senior Briefing is often the right starting point.

Your situation Capability Build Eval Framework Senior Briefing
You have no existing ML capability and want to build one
You have ML systems that ship changes without good evaluation
Your board needs to understand AI options before commissioning work
You need to understand regulatory obligations before building
You want your team to maintain the system after we leave
You need a quick, focussed output within a few days

Protocols shared across our practice

Data security and PDPA compliance

Data processing agreements are signed before any client data is accessed. All processing occurs in agreed, documented environments. We do not transfer client data outside agreed jurisdictions.

Written scope and amendment process

Every engagement begins with a signed scope document. Changes follow a written amendment process that documents implications before additional work is authorised.

Maintainability over sophistication

We select tools and architectures based on what your team can maintain and extend. Architectural decisions are documented with their rationale for future reference.

Direct practitioner communication

Clients communicate directly with the practitioners building their capability — not through account management intermediaries. One working day response standard on all client communications.

Success criteria defined upfront

We define and agree measurable success criteria before any work begins. Engagement close is evaluated against these criteria, not against our internal assessment of quality.

Structured knowledge transfer

Every Capability Build and Evaluation Framework engagement includes a structured handover session. Documentation is reviewed with your team before the engagement formally closes.

Stated prices. No retainers. No surprises.

Each engagement has a single published price covering the scope described. Amendments to scope are handled by written agreement with explicit cost and timeline implications.

Senior Briefing

MYR 530 / engagement
  • 2-hour in-person session at your premises
  • Pre-session questionnaire
  • Written follow-up note (next working day)
  • Suitable for board or C-suite
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Capability Build

MYR 2,380 / engagement
  • Model, pipeline, and evaluation infrastructure
  • Production monitoring setup
  • Internal documentation for your team
  • Structured handover session
  • 3–4 month engagement
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Not sure which engagement fits?

Describe your situation in a brief message. We will recommend which engagement type is most appropriate, or explain why none of them are — if that is the honest answer.

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