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Forward Deployed Engineering

We don't advise you
to automate.
We come in and do it.

Forward deployed engineers embed inside your operation, watch the real work, and automate everything that can honestly be automated - for a fixed price over a fixed period. You keep the code, the documentation and the savings.

  • Fixed price, agreed before we start
  • First workflow live in ~30 days
  • Runs on your servers, your data stays put
  • No headcount, no EPF, no ramp-up
Book a 10-day Recon → Run the cost comparison
Ts. Dr. Leong Yee Rock, founder of VYROX AI and lead forward deployed engineer
Led by Ts. Dr. Leong Yee Rock
Founder, VYROX AI · Forward Deployed Engineer

Illustrative deployment shape, drawn from typical engagement patterns. Your numbers are established and signed off during Recon before anything is built.

Why this role exists

Software rarely fails at the demo. It fails at the last mile.

Nearly every organisation that has tried to add AI or automation has a pilot somewhere that impressed everyone and then quietly died. The technology usually worked. What was missing was somebody whose job was to finish it inside the business.

95%
of enterprise generative-AI pilots produced no measurable P&L impact
MIT Project NANDA, The GenAI Divide: State of AI in Business, 2025 - 52 executive interviews, 153 leaders surveyed, 300 public deployments. reporting
≥50%
of generative-AI projects abandoned after proof of concept
Gartner, which had forecast 30% and later observed at least half, citing poor data quality, weak risk controls, escalating cost and unclear business value. press release
60-90
days a senior engineering role typically stays open before anyone starts
2026 hiring benchmarks for senior and staff software roles. Ramp to full productivity adds roughly another quarter on top.
10
working days before you hold a costed automation map and a go / no-go decision
VYROX Recon. Fixed fee, fixed scope, credited against a Deploy 90 engagement if you proceed.

The pattern behind those first two numbers is consistent: the failure is not in the model, it is in the approach. Software that nobody sat beside the user to finish does not survive contact with a real working week.

Definition

What a forward deployed engineer actually is

A production software engineer who works inside your operation instead of at the vendor's office. They sit next to the person doing the job, then design, build and ship real software against what they saw - and stay accountable for whether it is still being used a month later.

Origin

Invented because handover kept failing

Palantir created the role because its software was too entangled with each customer's reality to simply be installed and left. Internally these engineers were called Deltas, and for years the company employed more of them than conventional product engineers. Every serious AI company since - including the frontier labs - has copied the model, because it is the only reliable way an ambitious system ever reaches daily use.

VYROX has worked this way since 2015, long before the job title arrived in Southeast Asia. Our founder's title on this website has read Forward Deployed Engineer for years; we simply never had a page explaining it.

The distinction that matters

Advice ends in a document. Engineering ends in production.

A management consultant hands you a recommendation and a slide deck. A system integrator hands you a licence and a login. A staffing agency hands you a person and an invoice every month regardless of outcome.

A forward deployed engineer hands you a workflow that used to take four hours and now takes six minutes, plus the source code, the runbook and the person on your team who knows how to change it. Nothing in our final report is allowed to be a claim that is not already live in your business.

What we are
  • Embedded. On your floor, in your systems, in your WhatsApp group, watching the actual job.
  • Accountable for production. Success means staff use it next month without being told to.
  • Fixed-scope and fixed-price. The number on the quotation is the number on the invoice.
  • Full-stack and pragmatic. Whatever the job needs: AI models, integrations, scripts, hardware, a better form.
  • Temporary by design. We are trying to make ourselves unnecessary by day 90.
What we are not
  • Not a consultancy. There is no engagement here that ends with a strategy document and a handshake.
  • Not a body shop. You are not renting a warm seat by the month with no defined outcome.
  • Not a SaaS subscription. Nothing we build stops working when you stop paying us.
  • Not a lock-in. Source code, credentials and documentation are yours at handover, unconditionally.
  • Not a redundancy programme. You name the protected roles on day one and we design around them.
Method

How a deployment actually runs

Five stages, in the same order, every time. The first two exist to make sure we never build the wrong thing, and to give you a real exit point before the expensive part starts.

We start by watching, not by asking

Ask a department how a process works and you get the SOP. Sit beside them for three days and you get the truth: the spreadsheet that shadows the official system, the WhatsApp group where approvals really happen, the field that gets re-typed into four places, the report nobody has read since 2023.

That gap is where the recoverable hours live, and it is invisible from a meeting room. It is also why remote-only engagements and questionnaire-driven audits keep producing automation that solves a process which does not exist.

Nothing is built until the map is signed. You see every workflow we found, how many hours a year each one consumes, what it costs you, and our honest verdict on whether it can be automated now, later, or not at all.

How long it takes

Ninety days, and you can stop at day ten

The most common question is how long this takes. Here is the honest schedule, including the point at which you are allowed to walk away holding something useful.

1
Day 1-3

Ride-along

Our engineers sit with finance, admin and operations and watch the work happen. Every handoff, spreadsheet, re-typed field and chase-up message is recorded and timed.

You getObserved process inventory
2
Day 4-10

Map & cost it

Every repeatable workflow is timed, costed and scored on volume, error rate and automation difficulty, then ranked by return. This is where you decide go or no-go.

You getAutomation map · ROI model · ranked backlog
3
Day 11-30

First workflow live

The highest-value process is built and put into real production use, with real data and real staff. Acceptance criteria were agreed in writing before a line was written.

You getOne process, measurably faster, in production
4
Day 31-70

Widen & integrate

The remaining priority workflows are built and wired into the systems you already run - accounting, ERP, access control, e-invoicing, messaging - so data stops being re-keyed between them.

You getThe backlog cleared · systems talking to each other
5
Day 71-90

Handover

Runbooks, architecture notes, monitoring and alerting, source code and credentials. Your staff are trained until they can operate and modify the system without calling us.

You getOwnership · documentation · a team that can run it

Simple, single department

One process, one team, systems that already have an API. 3 to 5 weeks end to end.

Typical Deploy 90

Three to five workflows across two or three departments, integrated into existing systems. 90 days.

Multi-site or regulated

Several branches, an on-premise AI stack, audit and governance artefacts, formal UAT. 6 to 12 months.

What makes an engagement slower is almost never the engineering. It is waiting on access to a system, a vendor who will not open an API, data that has to be cleaned first, or an approver on leave. We tell you which of those apply during Recon, before you commit to the build.

Examples

What a deployment changes, in hours

Three representative engagement patterns from the sectors VYROX works in. The shapes are real; the figures are the kind of numbers a Recon audit produces, and yours are measured and signed off before any build begins.

Property & strata management

A 1,400-unit portfolio closes its month in a morning

Three admin staff spent the first five working days of every month on the billing run: generating invoices, cross-checking meter and rental adjustments, exporting to the accounting system, submitting e-invoices, then chasing arrears by hand across WhatsApp and email. Everything existed in two systems that did not speak to each other, so every figure was typed twice.

We connected the billing engine to the ledger and to LHDN MyInvois, moved arrears chasing onto a scheduled, templated sequence with a human approval gate, and gave the manager one screen showing what had gone out and what had not.

Live on day 34. Nobody lost a job; the same three people absorbed two additional buildings without new headcount.

Billing run, before
5 days
3 staff, every month
Billing run, after
6 hours
1 staff, review and approve
Hours returned
~1,200/yr
redirected to collections and residents
Live in
34 days
from first ride-along
Accounting & professional services

Supplier documents stop being typed by human beings

A mid-sized practice processed roughly 3,800 supplier invoices, receipts and bank statements a month for clients, at about eleven minutes of human handling each: open the PDF, read it, key the header and lines into the ledger, code it, file it, chase the missing ones. The work was accurate but it consumed the junior team entirely, and it was the reason the firm could not take on more clients.

We deployed a private, on-premise document model that extracts and codes each document, flags anything it is unsure about, and posts the rest into the ledger for review. The model runs on the firm's own hardware, so client financial records never leave the office - which was a licensing condition, not a preference.

Live on day 52. A qualified accountant still reviews and signs off every posting; the typing is what disappeared.

Per document, before
11 min
read, key, code, file
Per document, after
~40 sec
review and approve
Capacity unlocked
2.6×
documents per reviewer
Data leaving site
None
on-premise model, air-gapped option
Manufacturing & distribution

Quotations that took two days go out the same afternoon

Enquiries arrived by email, WhatsApp and phone. Someone rekeyed each one, hunted for the right price list version, checked stock in a separate system, waited for a margin approval, and produced a quotation in a spreadsheet. Turnaround averaged two working days, and the sales team's own estimate was that roughly one enquiry in six went cold before the quotation arrived.

We consolidated incoming enquiries into one queue, had a model extract the line items and match them to the current price list and live stock, auto-approved anything inside the standard margin band, and escalated only the exceptions to a manager.

Live on day 71 across two branches. The bottleneck moved from admin capacity to genuine commercial judgement, which is where it belongs.

Quote turnaround, before
2 days
rekey, price, check, approve
Quote turnaround, after
4 hours
exceptions only reach a human
Manual approvals
-78%
standard margin band auto-cleared
Live in
71 days
two branches
The cost math

What an in-house forward deployed engineer really costs

The salary is the part everyone budgets for. It is rarely more than two-thirds of the true number, and it is paid for twelve months whether or not there is twelve months of engineering to do. Move the sliders to your own situation - every assumption is shown and every figure is recalculated live in your browser.

RM 18,000

Senior AI and automation engineers in Kuala Lumpur sit around RM 22,000 to RM 32,000 a month in 2026 salary guides; a strong generalist automation engineer starts nearer RM 12,000 to RM 18,000.

3 months

This is the variable that decides everything. An employee is paid for twelve months regardless. A deployment is paid for the months it runs.

75 days

Senior engineering roles commonly stay open 60 to 90 days from posting to start date. Nothing is delivered during this period.

3 months

Counted at half productivity, which is generous. A new hire also has to learn your business before they can automate it.

Year one, all inIn-houseVYROX FDE
Gross salary12 months, paid regardless of workload-RM 0
Contractual bonusone month, market standard-RM 0
EPF, employer share12% above RM 5,000 monthly wage, 13% at or below-RM 0
SOCSO + EIS, employer share1.75% and 0.2%, both capped at a RM 6,000 wage-RM 0
HRD Corp levy1% of wages for registered employers-RM 0
Recruitment fee15% of annual salary, agency placement-RM 0
Workstation, GPU, tools and licencesan FDE needs real hardware-RM 0
Training and upskillingthe field moves every quarter-RM 0
Recon audit, 10 working daysfixed fee, credited in full when you proceedn/a-
Deployment feefixed price for the months you actually needn/a-
Year-one cash cost--
Productive engineering deliveredafter the vacancy and the ramp--
Cost per productive engineering month--
Waiting before any work starts--
You keep RM 220,044 in year one

That is 3.3× less cash for the same engineering window, delivered by a team instead of one person, starting within a fortnight instead of a quarter.

In-house, year one VYROX FDE, same window
Every assumption in this calculator, stated plainly

Statutory rates. EPF employer share is 13% of wages at or below RM 5,000 a month and 12% above it, with no wage ceiling. SOCSO employer share is about 1.75% and EIS 0.2%, both applied only up to a RM 6,000 monthly wage. The HRD Corp levy is 1% of wages and is compulsory for employers with ten or more Malaysian employees. Together these add roughly 13 to 16 percent on top of salary.

Bonus is modelled as one month, which is a common contractual minimum rather than a generous assumption. Recruitment is modelled at 15% of annual salary, the low end of typical agency placement fees for specialist engineering roles. Equipment is RM 12,000 and training RM 6,000 a year, both conservative for someone expected to run AI workloads.

What we deliberately left out of the in-house column, because it would be arguing unfairly: management time spent supervising, office space and utilities, medical and insurance benefits, leave and public holiday coverage, the cost of the process staying manual while the role sits vacant, and the risk that the hire does not work out. Published estimates put the cost of a mis-hire for a specialist engineering role at between 30% and 200% of first-year earnings. None of that is in the numbers above.

The VYROX column uses our published rate of RM 32,000 per pod-month with a three-month minimum, plus a fixed RM 12,000 Recon which is credited in full against the deployment when you proceed. A pod is a team, not a person. Statutory contributions, recruitment, equipment, training, leave and attrition are all our cost, not yours.

Productive months for the in-house column are twelve, less the vacancy period, less half of the ramp-up period. That treats a ramping engineer as half productive, which is charitable. The VYROX column counts only the months you said you need, all of them productive, starting within about two weeks of signature.

This is a planning model, not a quotation. Nothing here is tax, accounting or legal advice, and your actual statutory position should be confirmed with your payroll adviser. Our own price is fixed in writing after Recon.

The part nobody says out loud

Money is not the strongest argument against hiring in-house.
Incentives are.

Ask an employee to automate the work of the organisation that employs them, and you have asked them to do something no rational person does enthusiastically: reduce the amount of work that justifies their department, their headcount and eventually their own seat.

The structural problem

This is not about character

Nobody is accusing anyone of sabotage. Good people respond rationally to the incentives in front of them, and the incentives inside a company point one way: the first eighty percent of an automation makes you look valuable, and the last twenty percent makes you look optional.

So the last twenty percent tends not to get done. The workflow ends up ninety percent automated with a manual step preserved in the middle that "still needs judgement". The documentation stays thin enough that only one person can maintain it. The roadmap always has one more phase.

Mercer's Global Talent Trends 2026 found 40% of workers now fear AI will make their job obsolete, up from 28% in 2024. That is the environment you are asking an internal hire to automate in.

Why an outside team finishes

Our incentive is the opposite of theirs

We are paid a fixed sum to finish and leave. Every week we do not finish costs us, not you. There is no version of this engagement where dragging it out makes us better off, and no seat here that automation could threaten - our next engagement depends entirely on the last one having visibly worked.

So we automate the awkward last twenty percent, we write the documentation that makes us replaceable, and we hand over credentials we could have kept. Those are not virtues. They are what our contract rewards.

The honest caveat: the same logic means we are the wrong choice if you need someone permanently on site owning a live system year-round. Then you should hire. We will tell you that during Recon rather than sell you a deployment you do not need.

And to be clear about your staff

We do not arrive to make people redundant, and we will not take an engagement framed that way. Before day one you tell us which roles are protected, and we design around them. In practice what disappears is the re-typing, the chasing, the reconciling and the copy-pasting - the part of the job nobody defends in an exit interview. The same headcount takes on more volume, more clients or more buildings.

This is also a delivery requirement, not a courtesy. Automation that the people using it quietly resent does not survive the first month after handover. Their cooperation during the ride-along is what makes the map accurate in the first place, so we earn it deliberately.

Side by side

Hiring an FDE against deploying ours

Twelve dimensions that matter when the decision reaches the board. We have tried to state the in-house column the way an honest HR director would, not the way a vendor would like it stated.

DimensionHiring in-houseVYROX Forward Deployed
Time to first output60 to 90 days to fill the role, then a further quarter to learn your business before real output begins.Recon starts within about two weeks of signature. First workflow live in production around day 30.
Cost structureTwelve months of salary plus 13 to 16 percent statutory on-cost, bonus, recruitment fee, equipment, training and leave - whether or not there is twelve months of work.A fixed fee for a fixed period. No EPF, SOCSO, EIS, HRD levy, recruitment fee, equipment budget or bench time.
Cost certaintyOpen-ended. The salary continues after the useful project work is finished.The number on the quotation is the number on the invoice. Overrun is our cost.
Skill coverageOne person, one skill set. Nobody is simultaneously strong at AI, integration, data, security, hardware and change management.A pod. The AI engineering, the integration work, the security review and the delivery lead are different people who have done this before.
Incentive to finishAutomating the organisation's work from inside it, in a market where 40 percent of workers fear AI making their role obsolete.Paid to finish and leave. Every extra week is our loss. The handover pack is the deliverable.
Outcome riskCarried entirely by you. If the hire underdelivers, you still paid the year, and you begin the search again.Carried by us. Acceptance criteria are agreed in writing before the build starts.
Bus factorOne person holds the context. When they resign, most of it leaves with them.Documented as a contractual deliverable, because we are leaving on purpose.
Ramp-upLearning your industry, your systems and your politics on your payroll.Ten years of Southeast Asian property, accounting, clubs, manufacturing and public-sector deployments arrive on day one.
Retention riskSpecialist AI engineers are the most poached role in the market. A resignation at month nine restarts everything.Not your exposure. Continuity of the pod is our contractual obligation.
Scaling up or downHiring rounds and, if the work dries up, a redundancy conversation.Extend by the month, or stop at the agreed end date with everything already handed over.
Ownership of the workYours.Also yours. Source, credentials, documentation and runbooks transfer at handover, unconditionally.
When it is the wrong choiceRight when you need someone on site permanently, owning a live system year-round, embedded in daily operational decisions.Wrong for that. We are built for bounded transformation, not permanent operations - and we will say so.

Scroll the table sideways on a narrow screen.

Impact

What actually changes in the business

Hours are the headline, but they are rarely the reason a board signs. These are the six changes clients describe six months after a deployment, in the order they usually mention them.

01

Capacity without headcount

The same team absorbs more buildings, more clients, more orders. Growth stops being a hiring problem, which is the single most expensive constraint most SMEs have.

02

Errors fall to near zero on the automated path

Transcription mistakes, missed submissions and duplicated postings are human failure modes. Removing the typing removes the class of error, and with it the rework and the credit notes.

03

Cycle time collapses

Quotes, invoices, approvals and reports go out in hours instead of days. That is not just efficiency - faster quotations win work that slow quotations lose.

04

The month-end stops being an event

Closing, billing and reporting become scheduled jobs that run themselves and raise an alert only when something is genuinely wrong. Finance gets its first week of the month back.

05

Decisions run on current numbers

Once systems are connected, the dashboard reflects this morning rather than last month's reconciled spreadsheet. Management arguments shift from what the number is to what to do about it.

06

The knowledge stays with you

Runbooks, architecture notes and trained staff. The reason most automation quietly decays after twelve months is that nobody documented it. That is a contractual deliverable here, not an afterthought.

Where the returned hours go

The question a good CFO asks next is fair: recovered hours are not cash unless something is done with them. In practice they land in one of three places, and we ask you to choose which before we start, because it changes what we prioritise.

  • Absorbed growth. The same team handles more volume, so the next hire is deferred. This is the most common and the easiest to bank.
  • Reallocated work. Staff move from processing to the work that actually needs a person: collections, client relationships, quality, sales follow-up.
  • Reduced overtime and contractors. Peak-period casual and overtime spend falls, which shows up directly in the payroll line.

We will not put a saving in your ROI model that has no named destination. A number nobody can collect is not a saving, it is a slide.

Fixed price, fixed period

Four ways to engage us

Indicative fees, published so you can budget before you call. The exact figure is fixed in writing after Recon, when we both know precisely what is being built - and it does not move afterwards unless you ask for new scope in writing.

Recon
10 working days
RM 12,000
Start here. You end up holding a costed automation map and a defensible go / no-go decision, whoever you eventually build with.
  • Three-day on-site ride-along
  • Every repeatable workflow mapped and timed
  • Costed ROI model with stated assumptions
  • Backlog ranked by return, with honest "do not automate" calls
  • Fee credited in full against Deploy 90
Book Recon →
Deploy 90
90 days, fixed
RM 96,000 fixed
The standard engagement. A pod embedded for a quarter, taking named workflows into production and handing them over documented.
  • Everything in Recon, credited
  • Named workflows live in production, not demos
  • Written acceptance criteria agreed before any build
  • Integration into your existing systems
  • Runbooks, monitoring, alerting, staff training
  • Source, credentials and documentation transferred
Start a Deploy 90 →
Embedded Quarter
Rolling, 3-month minimum
RM 32,000 / month
For organisations with a backlog that spans departments and a plan to keep working through it, rather than one bounded project.
  • Continuing pod, re-prioritised monthly with you
  • Same fixed monthly fee, no time-and-materials surprises
  • Stop at any month boundary after the minimum
  • Documentation kept current as we go
Discuss a quarter →
Enterprise
6 to 12 months
From RM 420,000
Multi-site, multi-department or regulated programmes where governance and audit artefacts matter as much as the software.
  • Named delivery lead and defined governance cadence
  • Private on-premise or air-gapped AI stack where required
  • Security review, audit logging, formal UAT
  • Phased milestones, each separately accepted
Talk to us →

What "fixed" means here, precisely

Fixed scope. The workflows in the contract are named individually, with written acceptance criteria. New scope is a new written variation with its own price, never a surprise on an invoice.

Fixed price. If the build takes us longer than we estimated, that is our cost. We priced it; we own the estimate.

Fixed period. There is an end date in the contract and a handover pack due on it. Billing does not quietly continue past the point of usefulness.

Fees exclude hardware, third-party licences and any cloud or connectivity charges, which you buy directly in your own name so you own them. Fees are indicative until confirmed in writing after Recon. SST is charged where applicable.

Ts. Dr. Leong Yee Rock, MBA - founder of VYROX AI and lead forward deployed engineer
Who leads the work

Ts. Dr. Leong Yee Rock

"Technology is for everyone, and it shouldn't be expensive."

Founder of VYROX AI and, on this website's team page for years before the job title became fashionable, its Forward Deployed Engineer. A professional technologist with a PhD from Universiti Malaya and an MBA, he has spent over a decade designing and commissioning AI and IoT systems across Southeast Asia - smart buildings, access control, property and strata platforms, e-invoicing, club and campus operations, and private on-premise AI.

He sets the architecture on every deployment personally, joins the ride-along himself on the first engagement with a new client, and is directly reachable for the duration of the contract. VYROX has delivered more than 200 projects since 2015 and maintains over 60 production AIoT modules and the xSERVA platform family, which is why a deployment starts with patterns that already work rather than a blank page.

2015
Building AI and IoT systems in Southeast Asia since
200+
Projects delivered across the region
60+
Production modules we can reuse instead of rebuilding
11
Industry platforms in the xSERVA family
Questions

The questions we get asked before signing

What is a forward deployed engineer, in one sentence?
A production software engineer who works inside your operation rather than at the vendor's office - watching the real work, then building and shipping software against it, and remaining accountable for whether it is still in use a month later. The role was created at Palantir, where these engineers were called Deltas, and has since become the standard way serious AI deployments actually get finished.
How is this different from hiring a consultant?
A consultant delivers a recommendation. A forward deployed engineer delivers running software. Nothing in our closing report is allowed to be a claim that is not already live in your business, and the acceptance criteria for each workflow are agreed in writing before we build it.
How long until we see something working?
Ten working days to a costed automation map and a genuine go / no-go decision. Around thirty days to the first workflow running in production with real data and real staff. Ninety days for a full Deploy 90 including handover. Multi-site or regulated programmes run six to twelve months, and we will say so up front rather than discovering it in month four.
Why not just hire our own FDE?
Sometimes you should, and we will tell you when. But for a bounded transformation the arithmetic rarely favours it. You pay twelve months of salary plus 13 to 16 percent in EPF, SOCSO, EIS and the HRD levy, plus bonus, recruitment fee, equipment and training, for a role that typically takes 60 to 90 days to fill and another quarter to ramp. You get one person's skill set rather than a pod. You carry the outcome risk yourself. And you are asking someone inside the organisation to automate the organisation, in a market where 40 percent of workers fear AI making their job obsolete. Hire when you need permanent, year-round ownership of a live system. Deploy us when you need a defined transformation finished.
Are you here to replace our staff?
No, and we will decline an engagement framed that way. You name the protected roles before day one and we design around them. What disappears is re-typing, chasing, reconciling and copy-pasting; what usually happens to headcount is that the same team absorbs more volume. This is practical as much as ethical - automation that the people using it resent does not survive the first month after we leave.
What exactly does "fixed price, fixed period" commit you to?
Scope, acceptance criteria, price and end date are all in writing before work starts. New scope requires a written variation with its own price. If the build takes us longer than we estimated, that is our cost, not a supplementary invoice. And there is a contractual end date with a handover pack due on it, so billing cannot quietly continue past the point of usefulness.
Who owns the code and the data?
You do, unconditionally. Source code, configuration, credentials, documentation and runbooks transfer at handover. Everything runs on your servers or in your own cloud accounts. There is no per-seat licence on the automation we write for you, and nothing we built stops working if you never speak to us again.
Our data cannot leave the building. Is that a problem?
It is our normal case. Private, on-premise and air-gapped AI is VYROX's main line of engineering, so the model runs on hardware you own and your documents never reach a third-party cloud. That is the standard configuration for clinics, law firms, accounting practices and government agencies, and it removes the largest PDPA exposure in most AI projects - sending personal data to an overseas vendor.
What happens when the 90 days end?
Your team runs it. That is what the handover stage exists for, and why documentation is a contractual deliverable rather than a nice-to-have. If you want the next tranche of workflows there is a rolling Embedded Quarter, and separately a support and monitoring arrangement, but neither is required for what we already delivered to keep working.
How do we know the savings are real and not vendor arithmetic?
Every workflow is timed before we touch it during the ride-along, and timed again after go-live using the same measurement. The "before" figure is agreed with you in writing during Recon, specifically so that nobody can move the goalposts afterwards. Where a workflow cannot be measured honestly, we say so instead of inventing a number, and we will not put a saving in your model that has no named destination - a saving nobody can collect is a slide, not a result.
What size of organisation is this worth doing for?
The test is repeatable volume, not company size. Broadly: several staff each spending most of a working day on repetitive administrative processing, or a process that runs hundreds of times a month. Below that threshold a Recon is still worth ten days, but the honest recommendation may be to buy existing software rather than commission engineering - and we would rather tell you that for RM 12,000 than sell you a deployment for RM 96,000.
Which industries have you actually done this in?
Property and strata management, facilities and building operations, accounting and professional practices, clubs and sports venues, education and campus operations, manufacturing and distribution, retail and food service, and public-sector agencies. VYROX has delivered over 200 projects across Southeast Asia since 2015 and runs eleven industry platforms in the xSERVA family, so most engagements start from patterns that already work in production somewhere.
Can you work alongside our existing IT team or vendor?
Yes, and it usually goes better when we do. Your IT team knows where the bodies are buried and is the natural owner after handover, so we bring them into the ride-along and the architecture decisions from the start rather than presenting them with a finished system to inherit. Where an incumbent vendor controls a system we need to integrate with, we will tell you during Recon whether their cooperation is a dependency and what happens if it is not forthcoming.
Start with ten days

Find out what your operation is actually spending on manual work.

Book a Recon. Ten working days, a fixed fee, and at the end of it you hold a costed automation map and a real decision - whether or not you build it with us. The fee is credited in full if you proceed.

  • Fixed fee, agreed before we start
  • Credited against Deploy 90
  • You keep the map either way
  • We will tell you if the answer is "do not automate this"
Book a Recon → WhatsApp us
VYROX AI Sdn Bhd · Kuala Lumpur, Malaysia +60 19-688 3338 ai@vyrox.com Serving MY · SG · TH · ID · PH · VN · BN

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