Why Suria
What distinguishes a careful engagement from a rushed deployment
Finance teams in Malaysia face particular pressures when considering AI in their workflows — MFRS obligations, LHDN compliance, and auditors who ask direct questions. Our approach is built around those realities.
Core advantages
Six things that matter in our work
Independence from vendors
We are not affiliated with any accounting software platform. Our assessment of where AI can help is not influenced by commission or partnership agreements.
Audit-ready deliverables
Every brief, playbook, and memo is written with the expectation that an external auditor may read it. We note data lineage, approver chains, and regulatory implications throughout.
Narrow, scoped deployments
We do not recommend broad automation. We identify one or two specific tasks — such as GL code suggestion on incoming AP invoices — that are suitable for AI assistance, and we scope the engagement accordingly.
Process observation first
We walk through your last close with your controller before writing any recommendation. Our briefs reflect what actually happens in your workflow, not what a system diagram describes.
Malaysian regulatory knowledge
Our team works specifically within the MFRS and LHDN framework. We update our templates and guidance quarterly to reflect changes in Malaysian financial reporting and tax requirements.
Controller-level communication
We write for and speak with finance professionals directly. Our Quarterly Stewardship clients have access to a private question line for their controller throughout the engagement period.
Expertise that comes from the work
Professional Expertise
Our team has worked inside finance functions — preparing accounts, running close cycles, responding to audit queries — before advising on AI. We do not bring a technology consultancy perspective to a finance problem. We bring a finance perspective to a technology question.
This matters because the failure modes in accounting automation are not software failures. They are documentation failures, approver chain failures, and regulatory alignment failures. We know where to look for these because we have seen them in practice.
Technology used deliberately
Technology Approach
We use AI for a defined task: suggesting GL codes and flagging invoice anomalies in AP workflows. We train the model on your own posted entries — twelve months of data — so the suggestions reflect your chart of accounts and coding conventions, not generic mappings.
Every suggestion is reviewed by a human before any action is taken. We document the confidence thresholds, the exception-handling rules, and the scenarios in which the model is expected to return a low-confidence flag rather than a suggestion.
Direct engagement, without layers
Service Quality
Clients work directly with the partner or lead assigned at engagement start. We do not pass work to junior staff or offshore teams. Quarterly Stewardship clients have a private question line for their controller — not a ticketing system or shared inbox.
Our engagement letters specify who will do the work. If a team member changes, we inform the client and agree continuity arrangements before the change takes effect.
Fixed fees with defined scope
Pricing & Value
Every engagement is priced as a fixed fee for a defined scope. Close Process Review: RM 1,300. Invoice Triage Setup: RM 5,180. Quarterly Stewardship: RM 4,690 per quarter. There are no variable charges, no add-on consultancy days billed at hourly rates, and no software licence costs embedded in our fees.
If work falls outside scope, we tell you before starting it. We do not extend engagements without a new scope letter.
Outcomes measured against your close
Results & Outcomes
We do not measure success by the number of AI suggestions made. We measure it by the acceptance rate your team assigns during the supervised pilot, the time reduction in AP triage, and the absence of audit queries related to AI-assisted entries at year end.
For Invoice Triage deployments, we track suggestion acceptance and override rates week by week during the six-week pilot and include this data in the engagement close documentation.
How we compare
Typical AI advisory versus our approach
| What to look at | Typical Providers | Suria |
|---|---|---|
| Revenue model | Software licence or platform commission | Fixed-fee advisory only |
| Process observation | ||
| Human approver requirement enforced | ||
| Auditor-shareable documentation | ||
| MFRS and LHDN awareness | Inconsistent | |
| Data processing agreement provided | On request only | |
| No data retained post-engagement |
What sets us apart
Distinctive features of our practice
Exception-handling playbook included
Every Invoice Triage Setup includes a written playbook that describes what your AP team should do when the AI returns a low-confidence flag, a novel vendor, or an invoice that falls outside its training data. This is a document your team can use on any working day without calling us.
Trained on your own entries
The AI model used in Invoice Triage is trained on twelve months of your own posted journal entries — not generic industry mappings. This means suggestions reflect your actual chart of accounts and the coding judgments your team has made in practice.
Quarterly memo for the audit committee
Stewardship clients receive a written memo each quarter, prepared for audit committee distribution. No other provider in our market segment produces this document as a standard engagement deliverable. It covers acceptance rates, anomaly flags, and regulatory developments in a single brief read.
Annual board review at no additional cost
Quarterly Stewardship includes a closing annual review prepared for your board at the end of each year of engagement. This document consolidates the year's quarterly memos into a single narrative suitable for board minutes — at no additional fee beyond the quarterly rate.
Track record
Recognition and milestones
47
Finance teams advised since 2021
98%
Audit query rate: zero AI-related findings across engaged clients
4
Accounting platforms with verified read-only integration experience
3
Years maintaining MFRS and LHDN quarterly update cycle
MIA Associate Member
Malaysian Institute of Accountants associate engagement practice
PDPA Compliant Practice
All engagements operate under Malaysia's Personal Data Protection Act 2010
MDEC Digital Content Provider
Registered provider under Malaysia Digital Economy Corporation
See whether your process is a candidate for AI assistance
Our Close Process Review is the lowest-commitment way to find out. A two-week engagement, a written brief, RM 1,300. No obligation to proceed further.
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