How much does an automation project cost in the Philippines?

This question comes up in almost every first call, and it deserves a direct answer rather than a vague "it depends." It does depend, genuinely, but on specific things that are worth naming so you can evaluate any quote - mine or anyone else's - on the right basis.

What actually drives the price

Not the tool, not the number of steps on a diagram. The real cost driver is how many systems have to talk to each other cleanly, and how messy each one's data is.

Factor	Why it moves the price
Number of systems connected	Each integration is a separate thing that can break and needs its own error handling
Data cleanliness	A CRM full of duplicate or malformed contacts needs cleanup before automation can trust it
Custom logic	Conditional branching, AI classification steps, and business-specific rules take longer to build and test than a straight A-to-B connection
Volume and reliability needs	A workflow that must never silently fail needs monitoring and alerting built in, which is additional scope
Existing documentation	A well-documented API integrates in hours; an undocumented legacy system can take days of trial and error

Where the money actually goes

Mostly into the parts that are invisible when they work: mapping the real process, handling edge cases, and testing failure modes before they happen live.

A simple two-app connection - form fills into a CRM, say - is mostly configuration and takes little time. What actually consumes the bulk of hours on a real project is rarely the happy path. It is: what happens when a field is empty, what happens when the same lead submits twice, what happens when an API is briefly down, and making sure the workflow does not silently drop data in any of those cases. Skipping this is exactly how a system looks finished in a demo and breaks in production a month later.

How to spot an underscoped quote

It usually reads clean because it has skipped the parts that are hard to estimate: error handling, edge cases, and what happens when the business's process changes.

• No mention of error handling. A quote that only describes the happy path has not scoped what happens when something fails - and something eventually will.
• No testing phase. Building something and testing it against real, messy data are two different amounts of work. A quote that treats them as the same step is optimistic at best.
• Vague on integrations. "Connects your CRM to your calendar" without naming which CRM, which calendar, and what specifically syncs, usually means the scoping happened after the price was set rather than before.
• No ongoing cost mentioned. Most real systems need monitoring and small adjustments as a business's process shifts. A quote silent on this either has not thought about it or is deferring the conversation.

What a fair project structure looks like

A short scoping conversation first, a clear build cost tied to the actual integrations involved, and an explicit answer on what happens after launch.

1. A discovery call that maps the actual current process, not just the desired end state.
2. A scope that names every system involved and what specifically happens at each handoff, including failure cases.
3. A build cost tied to that named scope, not a flat number applied regardless of complexity.
4. A stated answer on what happens after launch - is monitoring included, is there a retainer, who gets notified if something breaks.

Every project I quote follows this structure, and it is why a request like "just automate my leads" gets a scoping conversation before a number, not the other way around. The lead action automation case study and DNS and SMTP configuration build are both examples where the actual cost driver was integration complexity, not the size of the automation diagram.