— Our Engagements

Three engagements, each scoped to where your team actually is

Start with a Review that reads your current workflows. Move to a supervised Pilot when the brief makes the case. Sustain with ongoing Stewardship once your team is running independently.

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— Methodology

How we approach AI integration for analytics teams

Every Kilauan engagement begins with reading — not presenting. Before we recommend anything, we look at a sample of what your analysts actually produce: ad-hoc SQL queries, dashboard outputs, and the stakeholder briefs that sit downstream of those dashboards.

From that reading, we identify where AI drafting support fits — and equally, where it does not. Not every workflow benefits from AI assistance. Some query patterns are too context-dependent; some briefs require domain knowledge that only your analysts carry. We write about those distinctions plainly.

Where we do recommend AI assistance, we design the integration around three principles: the analyst reviews everything before it leaves their desk, the data connection is read-only, and the engagement produces documentation your governance team can inspect.

Read before recommending

We review actual workflow samples before writing any recommendation.

Scope tightly

SQL drafting, dashboard summarisation, brief-drafting. Contained, specific use cases.

Deploy carefully

Read-only access, contained environments, IT-approved integration.

Document and sustain

Monthly sampling and audit briefs keep governance current as your team's use evolves.

First engagement

Analytics Workflow Review

A short engagement where we sit with your head of data, one senior analyst, and a stakeholder representative. We read a sample of dashboards, ad-hoc queries, and stakeholder briefs, then write a brief on where AI drafting could carefully ease handling — typically SQL drafting support, interpretation summarisation, and stakeholder-brief drafting. The work respects existing data governance.

Reading session with head of data and senior analyst

Anonymised review of dashboard samples, queries, and briefs

Written brief with specific observations and recommendations

Suitable for CDO or governance committee use

No obligation to proceed to Pilot

RM 1,200 Enquire About This

What the brief covers

SQL drafting patterns — where query complexity or volume makes a drafting assist worth considering

Dashboard interpretation — which dashboards generate high volumes of ad-hoc explanation requests

Brief-drafting bottlenecks — where analyst time is consumed by first-draft writing rather than analytical thinking

Technical setup

Warehouse access: Read-only credentials, scoped with your IT team

Environment: Contained, no data persisted between sessions

Supported platforms: BigQuery, Snowflake, Power BI, Looker

Deployment engagement

Drafting & Reading Pilot

A measured deployment of an AI drafting assist for SQL drafts, dashboard interpretations, and stakeholder briefs. The system drafts; analysts always edit before sharing. Integration with your warehouse is read-only and via a contained environment. Includes a four-week supervised period, training for two analysts, and a usage policy aligned with PDPA and your data classification.

Contained AI drafting environment setup

Read-only warehouse integration (scoped with your IT team)

Four weeks of supervised deployment

Training for two analysts included

PDPA-aligned usage policy document

RM 1,290 Enquire About This

Ongoing engagement

Quarterly Stewardship

A monthly advisory engagement for analytics leaders whose teams already use AI drafting. Each month we sample outputs, audit data handling, and write a brief for your chief data officer. Includes alignment with PDPA, BNM-RMiT where relevant, and your data classification policy, plus a yearly written summary for your data governance committee.

Monthly output sampling and data handling audit

Written brief for your CDO each month

PDPA and data classification policy alignment

BNM-RMiT consideration for financial services clients

Annual governance committee summary included

RM 4,710 /month Enquire About This

What the monthly brief covers

Output quality sampling — a read of AI-assisted analyst outputs from the previous month

Data handling audit — review of access logs and usage against your data classification policy

Regulatory alignment notes — PDPA and BNM-RMiT flags where relevant

— Engagement Comparison

Which engagement suits your situation

Feature	Workflow Review RM 1,200	Drafting Pilot RM 1,290	Stewardship RM 4,710/mo
Written advisory brief	✓	✓	✓ monthly
Workflow reading session	✓	—	—
AI drafting environment setup	—	✓	Assumes existing
Analyst training (2 seats)	—	✓	—
Supervised deployment period	—	4 weeks	Ongoing
Monthly output sampling & audit	—	—	✓
CDO brief each month	—	—	✓
Annual governance committee summary	—	—	✓
PDPA alignment documented	✓	✓	✓
BNM-RMiT consideration (FS clients)	—	—	✓

Best for

Workflow Review

Teams exploring the idea of AI drafting. A complete standalone engagement that builds the internal case without committing to deployment.

Best for

Drafting Pilot

Teams with internal sign-off to trial AI drafting. The Pilot provides a structured, governed four-week test with training and documentation.

Best for

Stewardship

Teams already using AI drafting who need ongoing governance oversight, CDO reporting, and regulatory alignment maintained month to month.

— Across All Engagements

Standards that apply to every piece of work we do

PDPA Compliance

All data handling follows Malaysia's PDPA 2010 requirements

No Data Retention

Client data is not stored between sessions or engagements

Written Output

Every engagement closes with a written brief, not a presentation

Analyst Review

AI drafts are reviewed and edited by analysts before use

— Start Here

Not sure which engagement fits? The Workflow Review is always the right place to start.

It gives you a written brief, a clear picture of where AI drafting fits your team, and the basis to make an informed decision about next steps.

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