Business Process Automation Malaysia, Fixed Price

Why this role exists

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

Most organisations that tried AI or automation have a pilot 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 organisations reported no measurable P&L return from generative AI

MIT Project NANDA, The GenAI Divide, 2025. In fairness: a non-peer-reviewed working paper whose headline has been contested - much of the 95% never ran a pilot at all. A signal, not proof. reporting

30%

of generative-AI projects forecast to be abandoned after proof of concept

Gartner, July 2024: poor data quality, weak risk controls, escalating cost, unclear value. press release

2-3

months to fill a senior engineering role, before the ramp-up even begins

2026 benchmarks: median 47-62 days for senior software roles, roughly 40% over 90 days. Ramp adds about another quarter. benchmark

10

working days before you hold a costed automation map and a go / no-go decision

VYROX Recon. Fixed fee, fixed scope, credited in full if you proceed.

The pattern is consistent: the failure is not the model, it is the approach. Software nobody sat beside the user to finish does not survive a real working week.

Definition

What a forward deployed engineer actually is

Plain English, and a definition you are welcome to quote.

Forward deployed engineer (FDE): A production software engineer who works inside the client's operation rather than at the vendor's office: sitting beside the person doing the job, then designing, building and shipping real software against what they observed, and remaining accountable for whether it is still in use a month later. The role originated at Palantir, where these engineers were called Deltas.

Origin

Invented because handover kept failing

Palantir created the role because its software was too entangled with each customer's reality to install and walk away from. Internally they were Deltas, and for years Palantir employed more of them than product engineers. Every serious AI company has since copied it.

VYROX has worked this way since 2015. Our founder's title on this site has read Forward Deployed Engineer for years; we simply never had a page explaining it.

What we are

Embedded. On your floor, in your systems, watching the actual job.
Accountable for production. Success is staff using it next month unprompted.
Fixed scope and price. The quotation is the invoice.
Full-stack and pragmatic. AI models, integrations, scripts, hardware, or just a better form.
Temporary by design. Making ourselves unnecessary by day 90.

What we are not

Not a consultancy. No engagement here ends in a strategy document and a handshake.
Not a body shop. Not a warm seat rented 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. Work written for you is assigned at handover; our existing modules come under a perpetual royalty-free licence. Nothing we leave can be switched off.
Not a redundancy programme. You name protected roles on day one; we design around them.

Method

How a deployment actually runs

Five stages, same order, every time. The first two exist so we never build the wrong thing, and so you get a real exit point before the expensive part.

A VYROX engineer sitting beside a client's admin staff at her own desk, timing how a batch of paper invoices is actually keyed into the system — Days one to three. We time the job as it is actually done, not as the SOP describes it.

One approval, two versions of the truth

What the SOP says

Request→ Manager approves→ System updated→ Done

What the ride-along finds

Request by email→ Re-typed into a spreadsheet→ Asked in a WhatsApp group→ Chased twice→ Manager approves→ Re-typed into the system→ Re-typed into accounts→ Filed by hand→ Done

Five of those nine steps are invisible from a meeting room, and they are where the recoverable hours are. You cannot automate a process you have only been told about.

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 shadowing the official system, the WhatsApp group where approvals really happen, the field re-typed into four places.

That gap holds the recoverable hours, and it is invisible from a meeting room. It is why questionnaire-driven audits keep automating a process that does not exist.

Nothing is built until the map is signed. You see every workflow, the hours it consumes, what it costs, and our honest verdict: automate now, later, or never.

How long it takes

How long does an automation deployment take?
Ninety days, and you can stop at day ten

The honest schedule, including the point where you can walk away holding something useful.

1

Day 1-3

Ride-along

We sit with finance, admin and operations and watch the work happen. Every handoff, spreadsheet and re-typed field is recorded and timed.

You getObserved process inventory

2

Day 4-10

Map & cost it

Every repeatable workflow timed, costed and scored on volume, error rate and difficulty, then ranked by return. Your go / no-go point.

You getAutomation map · ROI model · ranked backlog

3

Day 11-30

First workflow live

The highest-value process goes into real production use, on real data with real staff. Acceptance criteria were agreed in writing first.

You getOne process, measurably faster, in production

4

Day 31-70

Widen & integrate

Remaining priority workflows built and wired into what you already run - accounting, ERP, access control, e-invoicing - so data stops being re-keyed.

You getThe backlog cleared · systems talking to each other

5

Day 71-90

Handover

Runbooks, architecture notes, monitoring, source and credentials. Your staff trained until they can run and change it 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.

A VYROX engineer training two client staff members at a laptop with a printed runbook open on the table during handover — Stage five is the one most vendors skip. The runbook goes in your drawer, not ours.

What slows an engagement is almost never the engineering. It is system access, a vendor who will not open an API, data that needs cleaning, or an approver on leave. We flag which apply during Recon, before you commit.

Examples

What a deployment changes, in hours

Three worked models from the sectors we operate in. We do not publish client names or figures, so rather than dress these as audited results: this is the arithmetic when it works. Want the audited version? We arrange a reference call at shortlist stage.

A desktop scanner feeding paper invoices beside a monitor showing an automated document workflow with steps ticked in green, while a finance manager signs off the one item that needs a human decision — What disappears is the handling. The judgement stays with your people.

Property & strata management

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

Three admin staff lost the first five working days of every month to the billing run: invoices, adjustments, ledger export, e-invoice submission, then chasing arrears by hand across two systems that did not talk, so every figure was typed twice.

We connected the billing engine to the ledger and LHDN MyInvois, put arrears chasing on a scheduled sequence with a human approval gate, and gave the manager one screen.

Worked model, live day 34. Nobody lost a job; the same three people absorbed two more 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

Roughly 3,800 supplier documents a month at about eleven minutes each: open, read, key into the ledger, code, file, chase the missing. Accurate, but it consumed the junior team and capped how many clients the firm could take.

A private on-premise model now extracts and codes each one, flags what it is unsure about, and posts the rest for review. It runs on the firm's own hardware - a licensing condition, not a preference.

Worked model, live day 52. An accountant still 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, hunted the current price list, checked stock elsewhere, waited on margin approval, then built a quote in a spreadsheet. Two days average - and by the sales team's own estimate, one enquiry in six went cold first.

Enquiries now land in one queue. A model extracts the line items, matches live pricing and stock, auto-clears anything inside the standard margin band, and escalates only exceptions.

Worked model, live day 71 across two branches. The bottleneck moved to commercial judgement, 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 does an in-house automation engineer really cost in Malaysia?

Salary is rarely more than two-thirds of the true number, and you pay it for twelve months whether or not there is twelve months of work. Move the sliders. Every assumption is shown.

Year one, all inIn-houseVYROX FDE

Gross salary9.5 months paid, after the vacancy-RM 0

Contractual bonusone month, pro-rated-RM 0

EPF, employer share12% above RM 5,000 wage, 13% at or below-RM 0

SOCSO + EIS, employer shareboth capped at a RM 6,000 wage-RM 0

HRD Corp levy1%, compulsory at 10+ Malaysian employees-RM 0

Recruitment fee15% of annual salary-RM 0

Workstation, GPU, tools and licencesan engineer needs real hardware-RM 0

Training and upskillingthe field moves quarterly-RM 0

Recon audit, 10 working daysbefore anything is builtn/a-

Recon credited against the deploymentnot paid twicen/a-

Deployment feeonly the months you needn/a-

Year-one cash cost--

Productive engineering deliveredafter vacancy and ramp--

Cost per productive engineering month--

Waiting before any work starts--

You keep RM 164,702 in year one

The in-house route costs 2.7 times more cash over the same twelve months, because you pay for a full year to get the three months of engineering you said you need.

In-house, year one VYROX FDE, same window

Every assumption, stated plainly

Statutory rates. EPF employer share 13% at or below RM 5,000 monthly wage, 12% above, no ceiling. SOCSO about 1.75% and EIS 0.2%, both capped at a RM 6,000 wage. HRD Corp levy 1%, compulsory at 10+ Malaysian employees. Together roughly 13-16% on top of salary.

The rest. Bonus one month, pro-rated. Recruitment 15% of annual salary, the low end for specialist roles. Equipment RM 12,000 and training RM 6,000 a year. Salary is charged only for the months the seat is filled, so the vacancy is never counted twice.

Left out of the in-house column, because including it would be arguing unfairly: management time, office space, medical and insurance, leave cover, and the process staying manual while the role is vacant. A specialist mis-hire is published at 30-200% of first-year earnings. None of it is above.

Our column is RM 32,000 per pod-month, three-month minimum, plus a RM 12,000 Recon credited in full. Employee productive months are twelve less the vacancy less half the ramp; ours are all productive, because Recon is the ramp and you paid for it separately.

A planning model, not a quotation, and not tax advice.

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 shrink the work that justifies their department, their headcount, and eventually their own seat.

The structural problem

This is not about character

This is not sabotage. Good people follow the incentives in front of them, and inside a company those point one way: the first 80% of an automation makes you valuable, the last 20% makes you optional.

So the last 20% quietly does not happen. A manual step survives in the middle because it "still needs judgement". Documentation stays thin enough that one person remains essential. The roadmap always has one more phase.

Mercer's Global Talent Trends 2026: 40% of workers fear AI will make their job obsolete, up from 28% in 2024. That is the environment an internal hire automates 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 overrun costs us. No seat here is threatened by automation, and our next engagement depends entirely on this one visibly working.

So we do the awkward last 20%, write the documentation that makes us replaceable, and hand over credentials we could have kept. Not virtues - just what the contract rewards.

The honest caveat: that same logic makes us wrong for you if you need someone permanently on site year-round. Then hire. We will say so 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 will not take an engagement framed that way. You name the protected roles before day one. What disappears is the re-typing, chasing and reconciling - the part nobody defends in an exit interview. The same headcount takes on more buildings, clients or orders.

This is a delivery requirement, not a courtesy. Automation people resent does not survive the first month after handover, and their cooperation during the ride-along is what makes the map accurate.

Side by side

Hiring an FDE against deploying ours

The dimensions that matter when this reaches the board. The in-house column is stated the way an honest HR director would put it.

Dimension	Hiring in-house	VYROX Forward Deployed
Time to first output	Two to three months to fill, then a further quarter to learn your business.	Starts within about two weeks. First workflow live around day 30.
Cost structure	Twelve months of salary plus 13-16% statutory on-cost, bonus, recruitment fee, equipment 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, equipment or bench time.
Skill coverage	One person, one skill set. Nobody is strong at AI, integration, data, security and change management at once.	A pod. AI engineering, integration, security review and delivery lead are different people who have done it before.
Incentive to finish	Automating their own organisation, in a market where 40% of workers fear AI making their role obsolete.	Paid to finish and leave. Every extra week is our loss.
Outcome risk	Entirely yours. If the hire underdelivers you still paid the year, and start the search again.	Ours. Acceptance criteria in writing before the build, fee staged 20/30/30/20 against milestones you sign off, cancellation right at day 30.
If it breaks after go-live	Your problem - and the same person's, if they are still employed.	90-day warranty: defects fixed free, next-business-day response, three-day fix on anything blocking a month-end.
Retention risk	The most poached role in the market. A resignation at month nine restarts everything.	Not your exposure. Pod continuity is our obligation.
Ownership of the work	Yours.	Also yours. Work written for you assigned outright; our modules under a perpetual royalty-free licence. Nothing stops if you stop paying.
When it is the wrong choice	Right when you need someone permanently on site, owning a live system year-round.	Wrong for that. We are built for bounded transformation, 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 rarely why a board signs. These are the six changes clients describe six months on, in the order they mention them.

01

Capacity without headcount

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

02

Errors fall to near zero on the automated path

Transcription mistakes and duplicated postings are human failure modes. Remove the typing and you remove the error class, plus the rework and credit notes.

03

Cycle time collapses

Quotes, invoices and approvals go out in hours, not days. Faster quotations win work that slow ones lose.

04

The month-end stops being an event

Closing and billing become scheduled jobs that alert only when something is wrong. Finance gets the first week of the month back.

05

Decisions run on current numbers

The dashboard reflects this morning, not last month's reconciled spreadsheet. Arguments shift from what the number is to what to do about it.

06

The knowledge stays with you

Runbooks, architecture notes, trained staff. Most automation decays within a year because nobody documented it. Here that is a contractual deliverable.

Where the returned hours go

A fair CFO question: recovered hours are not cash unless something is done with them. They land in one of three places, and we ask you to pick before we start, because it changes what we prioritise.

Absorbed growth. More volume on the same team, so the next hire is deferred. Easiest to bank.
Reallocated work. Staff move from processing to what needs a person: collections, clients, quality, follow-up.
Reduced overtime. Peak-period casual and overtime spend falls, straight off the payroll line.

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

Operations staff reviewing a dashboard of automated jobs completing on schedule, each row ticked green — After handover, the work that used to fill a week runs on a schedule and raises an alert only when something needs a person.

The first working week of the month

Before

MON
billingTUE
billingWED
billingTHU
checkingFRI
chasing

After

MON
autoTUE
reviewWED
freeTHU
freeFRI
free

needs a person runs on a schedule returned to the team

The run still happens; it just stops needing three people and a week. Tuesday is a review, not a rebuild, and the alert only fires when something genuinely needs judgement.

Where it runs

Your building. Your hardware.
Your data never leaves.

Most automation vendors route your invoices, contracts, payroll or patient records through somebody else's cloud, usually in another country. For a law firm, clinic, accounting practice or agency that is frequently not permitted at all.

Private on-premise and air-gapped AI is VYROX's main engineering line, so this is the default here, not a premium option. The model runs in your own server room. No per-token bill, no third-party processor to disclose, no cross-border transfer to justify under PDPA.

On-premise or fully air-gapped
PDPA-aligned by architecture, not by promise
No per-seat or per-token metering
Runs offline, at your network speed

How our private local AI works →

An on-premise AI inference server in a client's own server room, green status lights showing across the GPU node and network switch — A private inference server commissioned on site. Nothing on this rack phones home.

Fixed price, fixed period

What does business process automation cost? Four ways to engage us

Indicative fees, published so you can budget before you call. Fixed in writing after Recon, and it does not move unless you ask for new scope in writing.

Recon

10 working days

RM 12,000

Start here. You end up with a costed automation map and a defensible decision, whoever you build with.

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.

Named workflows live in production, not demos
Written acceptance criteria agreed before any build
Integration into your existing systems
Runbooks, monitoring, alerting, staff training
Paid 20/30/30/20 against milestones you sign off
Cancel at day 30 if the first workflow is not live
90-day post-handover warranty on what we built
Source and credentials assigned, modules licensed perpetually

Start a Deploy 90 →

Embedded Quarter

Rolling, 3-month minimum

RM 32,000 per pod-month

For a backlog spanning departments, rather than one bounded project.

A pod-month buys: one embedded engineer on site full time, architecture oversight from Ts. Dr. Leong Yee Rock, and specialist input - integration, security, data - as each workflow needs it. Not an unlimited team, and we would rather write that down than let you assume it.

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 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. Workflows named individually with written acceptance criteria. New scope is a written variation with its own price, never a surprise invoice.

Fixed price. If the build runs long, that is our cost. We priced it; we own the estimate.

Fixed period. An end date in the contract and a handover pack due on it. Billing does not quietly continue past usefulness.

Fixed does not mean paid up front. Staged across four milestones, three signed off by you before invoicing, cancellable at day thirty, with a 90-day warranty after handover. How that works.

Fees exclude hardware, third-party licences and connectivity, which you buy in your own name so you own them. Indicative until confirmed in writing after Recon. SST where applicable.

How we carry the risk

Fixed price is only half of it.
Here is the other half.

A fixed price still leaves you exposed if the vendor takes the money and under-delivers. So the money is staged against things you sign off, you can walk at day thirty, and we stay on the hook for ninety days after. Contract terms, not sentiments.

You pay as it lands, not up front

Four milestones, three released only after your manager signs off that it works in production. We fund delivery ahead of the cash. If we stall, our invoicing stalls with it.

20 / 30 / 30 / 20

A day-30 kill switch

If the first workflow is not live and in use by your staff on day thirty, cancel. You pay only what was invoiced and keep everything built. We already promise day-30 live; this makes it enforceable rather than something you have to trust.

Cancel, keep the work

90 days of warranty after we go

Defects in what we built fixed free for ninety days: next-business-day response, three-business-day fix on anything blocking a billing run or month-end close. Documentation is not support, and we do not pretend otherwise.

Next business day

Deploy 90 payment schedule · RM 96,000 fixed

20%

RM 19,200

On signing

Scope, acceptance criteria and the automation map are already agreed from Recon before this is invoiced.

30%

RM 28,800

Day 30 · first workflow live

Released when the first process is running in production on real data. This is also your cancellation gate.

30%

RM 28,800

Remaining workflows pass UAT

Tested against the acceptance criteria you wrote, in your words, before we built anything.

20%

RM 19,200

On handover

After a 14-day parallel run against your old process, signed off by your own manager. Not by us.

What we need from you. A named process owner with authority to change how the job is done, system access, and decisions inside a week. Automation dies where the mandate is ambiguous - better said here than discovered in month two.

A company director reviewing a written proposal across a meeting table with a VYROX engineer — Every term on this page is written into the contract before you sign, not discovered afterwards.

Before you sign, talk to someone who already did

At shortlist stage we put you on a call with clients in your sector, under NDA, and we are not on it. Ask whatever you want: did it ship, does it still run, do staff use it, did the invoice match the quote.

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

Who leads the work

Who leads the deployment

Ts. Dr. Leong Yee Rock

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

Founder of VYROX AI, and its Forward Deployed Engineer on this site's team page long before the title became fashionable. A professional technologist, PhD from Universiti Malaya, MBA, with over a decade commissioning AI and IoT systems across Southeast Asia.

He sets the architecture on every deployment, joins the first ride-along himself, and is reachable for the duration of the contract. VYROX has delivered 200+ projects since 2015 and maintains 50+ production modules and the xSERVA platform family - which is why ninety days is enough.

PhD, Universiti Malaya
MBA
Ts. · Professional Technologist
ORCID 0000-0003-1710-129X
Google Scholar
GitHub

2015

Building AI and IoT systems in Southeast Asia since

200+

Projects delivered across the region

50+

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?

A production software engineer who works inside your operation, not at the vendor's office. They sit beside the person doing the job, then build and ship real software against what they saw. The role started at Palantir, where they were called Deltas.

How is this different from a consultant?

A consultant delivers a recommendation. We deliver running software. Nothing in our closing report is a claim that is not already live in your business.

How long until we see something working?

Ten working days to a costed automation map and a go / no-go decision. Around thirty days to the first workflow live in production. Ninety days for a full Deploy 90 including handover. Multi-site or regulated programmes run six to twelve months.

Why not just hire our own?

Sometimes you should, and we will say so. But for a bounded project: twelve months of salary plus 13-16% statutory on-cost, bonus, recruitment and equipment - to get maybe three months of engineering. Two to three months to hire, another quarter to ramp, one skill set, and the risk stays yours. Hire for permanent year-round ownership. Deploy us for a defined transformation.

Are you here to replace our staff?

No, and we decline engagements framed that way. You name the protected roles before day one. What disappears is re-typing, chasing and reconciling; headcount usually absorbs more volume instead. It is practical as much as ethical - automation people resent does not survive the first month after we leave.

What does "fixed price" actually commit you to?

Scope, acceptance criteria, price and end date in writing before work starts. New scope needs a written variation. If the build runs long, that is our cost. And there is a contractual end date with a handover pack due on it.

Do we have to pay it all up front?

No. Deploy 90 is invoiced 20/30/30/20: RM 19,200 on signing, RM 28,800 at first workflow live, RM 28,800 at acceptance testing, RM 19,200 on handover after a 14-day parallel run. Three of four tranches release only after you confirm the work is done.

What if it is not working by day 30?

You can cancel. If the first workflow is not live and in use on day thirty, you pay only what was invoiced and keep everything built - the map, the model, the code. We already promise day-30 live; this makes it enforceable.

What if something breaks after you leave?

Defects in what we built are fixed free for ninety days: next-business-day response, three-business-day fix on anything blocking a billing or month-end run. Nothing runs on our licence key or our cloud, so nobody can switch it off.

Who owns the code?

The data was always yours. On code, the honest split: work written for you is assigned outright at handover, with credentials and runbooks. The pre-existing modules we reuse come under a perpetual, irrevocable, royalty-free licence - they are already licensed to other clients and cannot be assigned twice. Same practical freedom: your servers, no per-seat licence, nothing stops if you stop paying us.

Can we speak to an existing client first?

Yes. At shortlist stage we arrange a call with clients in your sector, under NDA, and we are not on the call. We do not publish client names or their figures here because that information is theirs.

Our data cannot leave the building. Problem?

That is our normal case. Private on-premise and air-gapped AI is VYROX's main engineering line, so the model runs on hardware you own. Standard for clinics, law firms, accounting practices and government - and it removes the biggest PDPA exposure in most AI projects.

Should we buy off-the-shelf instead?

Sometimes, and we will say so during Recon - in which case RM 12,000 saved you RM 96,000. Packages handle standard needs. They do not handle the seams between systems you already own: the bank statement into the ledger, the payment matched to an invoice, the approval chased. That gap is specific to you, and it is where the hours go.

How do we know the savings are real?

Every workflow is timed before we touch it and again after go-live, the same way. The "before" figure is agreed with you in writing during Recon so nobody can move the goalposts. Where a workflow cannot be measured honestly, we say so.

Start with ten days

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

Ten working days, a fixed fee, and you end up holding a costed automation map and a real decision - whether or not you build it with us. 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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Tell us what you are trying to run. We will show you the modules that fit, and say plainly if something you need is not there yet.

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