What you get when you work with an advisory practice, not a vendor
We have no software to sell and no platform to push. What we bring is time, careful reading, and written output your data governance team can actually use.
← Back to HomeSix things that distinguish our approach
Advisory independence
No referral agreements with AI platforms, no preferred vendor relationships. Our recommendations are based on what we read in your work — nothing else.
- No software commissions
- Findings-based recommendations
- Written briefs, not sales decks
Governance built in from day one
PDPA compliance, data classification alignment, and read-only warehouse access are included in every engagement — not offered as add-ons.
- PDPA-compliant handling
- Data classification respect
- BNM-RMiT awareness for FS clients
Analyst judgement preserved
AI drafts starting points. Analysts edit, verify, and sign off before anything leaves their desk. The workflow keeps your team accountable and accurate.
- Human review at every step
- No automated publishing
- Accountability stays with your team
Existing stack compatibility
We work within BigQuery, Snowflake, Power BI, and Looker environments. Your team does not need to migrate, retrain, or rebuild to work with us.
- No new platform to learn
- Warehouse-agnostic approach
- Integration scoped with your IT team
Readable, shareable output
Every engagement closes with a written brief — not a slide deck — that your CDO, governance committee, or compliance team can read, annotate, and act on.
- Plain-language findings
- Cites specific observations
- Committee-ready format
Narrow, well-defined scope
We don't try to transform your entire data operation. We focus on SQL drafting support, dashboard summarisation, and stakeholder brief-drafting — three use cases with clear value and manageable risk.
- Scoped and contained
- No scope creep by design
- Clear deliverables per engagement
Practitioners who have been inside analytics teams
Our advisors have held roles in data engineering, analytics leadership, and data governance within Malaysian enterprises. We have seen how ad-hoc query backlogs grow, how stakeholder briefs get delayed, and how new tools get adopted cautiously — or dropped quickly because the governance case wasn't made.
That background shapes how we read your workflows. We don't bring a framework from the outside and apply it generically. We read what your team actually produces, and write a brief that reflects your specific situation.
"An advisory team that has managed SQL query queues understands why a drafting assist is more useful at the start of the query than at the end."
Technology approach
BigQuery & Snowflake: Read-only SQL context passed to drafting assist. No data stored between sessions.
Power BI & Looker: Dashboard context exported to a contained environment. AI produces a draft summary; analyst reviews.
Stakeholder briefs: Dashboard context plus analyst notes passed as structured input. Output is a draft brief in your house style.
We work with the tools your team already uses
The AI drafting layer sits beside your existing analytics stack — it does not replace it. We design the integration around your actual warehouse and visualisation tools, using read-only connections in contained environments your IT team can inspect and approve.
Your data infrastructure team is involved in the setup of every Pilot deployment. We don't bypass IT; we work through them, because that's the only integration your governance committee can stand behind.
Small team, direct contact, responsive communication
We are a small advisory practice. When you contact us, you reach the practitioners who will run your engagement — not a sales team passing you through to delivery. Engagements are managed directly, with named advisors and direct lines of communication.
During the Pilot's supervised period, you have a named contact for questions about the drafting environment, analyst training, and anything that comes up during the four weeks. After each Stewardship brief is delivered, we hold a short review session to walk through findings.
Named advisor for every engagement
You know who to call and who is writing your brief.
Walkthrough after brief delivery
We don't email a document and disappear. We walk through findings.
Supervised period support
Four-week Pilot includes named support contact for questions.
RM
1,200
Review from
RM
1,290
Pilot from
RM
4,710
Stewardship /mo
Transparent, fixed-scope pricing with no hidden onboarding fees.
Transparent pricing with clear scope
Each engagement has a published price and a defined scope. The Workflow Review is RM 1,200 and produces a written brief. The Pilot is RM 1,290 and covers a four-week supervised deployment plus analyst training. Stewardship is RM 4,710 per month for ongoing advisory.
There are no onboarding fees, no per-seat licensing, and no charges for the walkthrough sessions that accompany each brief delivery. The price you see covers the work.
What you get from an advisory practice vs a typical AI vendor
| What matters to analytics teams | Kilauan | Typical AI Platform Vendor |
|---|---|---|
| PDPA-compliant data handling, documented | Varies by vendor | |
| Read-only warehouse access with IT approval | Often requires write access | |
| Advisory independence — no platform to sell | ||
| Written brief suitable for governance committee | ||
| Works within your existing BI stack | Often requires platform migration | |
| BNM-RMiT awareness for financial services | Rarely | |
| Fixed-scope pricing, no per-seat fees |
What you won't find elsewhere
The brief your governance committee can read
We write in plain language, cite specific observations, and clearly separate what we observed from what we recommend. Your CDO or data governance committee can use the document directly — it is not a vendor brochure.
No-retention data handling as standard
Client data reviewed during a Workflow Review is anonymised before handling and is not stored on our systems. In Pilot deployments, the contained environment does not persist data between analyst sessions. This is not optional — it is how every engagement works.
Start small with no pressure to expand
The Workflow Review is a complete, standalone engagement. Many clients use it to build an internal case before committing to a Pilot. We do not follow up with upsell calls or require commitment to future engagements.
Malaysia-specific regulatory awareness
We understand the PDPA 2010 landscape and, for financial services clients, the BNM-RMiT framework. Our briefs are written with these constraints in mind from the first paragraph — not flagged as caveats at the end.
A few markers worth noting
40+
Analytics teams reviewed
100%
PDPA-compliant engagements
6
Industries served in Malaysia
4
Warehouse platforms integrated
PDPA Compliance Framework
Internal governance framework reviewed by external counsel, April 2025
Data Governance Advisory Member
Contributing member, Malaysia Data Governance Forum, 2024–present
AI Responsible Use Practice
Signed and adopted Responsible AI Use Pledge, March 2025
See what a Workflow Review would look like for your team
We read a sample of your existing work and write you a brief. That's the Review. No obligation to proceed further.
Arrange a Review Session