AI consulting and audits for Singapore SMEs

Most AI advice is written to sell a build. Ours is written to be right. We look at how your team actually works, find where AI pays for itself, and tell you plainly which parts are not worth touching yet.

What does an AI audit actually involve?

We start with the work, not the technology. That means going through how a job really gets done rather than how the process document says it does, because the gap between those two is usually where the hours are hiding.

From that we produce a map: the jobs ranked by what they cost you today, what each would cost to automate, and what changes if you do. Costed in plain English, with no vendor names dropped in to sound current. It is short enough to read in one sitting and specific enough to act on.

Why is the first consultation free?

Because the map is the thing that tells both of us whether there is a project here. A thirty minute call on Google Meet, Singapore time, no preparation and no commitment afterwards. If you can describe the job that eats the most hours in your week, that is enough to start.

You keep the map either way. If the answer is that your best move is a better spreadsheet and a rota change, we will say that, and you will not hear from us again unless you ask.

What is actually in the map?

A ranked list of the jobs worth automating, with what each one costs you in hours today and what it would take to change that. There is enough detail on each that another developer could pick it up and build it, because it is your document and it should not depend on us still being around.

It also names the things we recommend against, and says why. That section is often the more useful half, because it is the part nobody selling you software will ever write down.

Do we need our data in order first?

No, and waiting until everything is tidy is how these projects never start. The audit works from how things actually are, mess included, because the mess is itself information about where a process is straining.

If poor data genuinely is the blocker for the job you care about, we will say so plainly and tell you what fixing it involves. Sometimes that is the entire recommendation, and it is not an AI project.

Who should be on the call?

Whoever actually does the work, and whoever can decide to spend money. Those are often different people, and leaving out the first one is the usual reason an audit ends up describing a process nobody recognises.

Thirty minutes is enough. We are not asking you to prepare a brief, pull reports or tidy anything up beforehand.

When should a business not adopt AI?

More often than the current noise suggests. If the underlying process is broken, automating it just produces the wrong answer faster. If the volume is low, the build will cost more than the hours it saves. If the data the system would depend on is scattered and unreliable, fixing that comes first and is not an AI project.

There is also timing. Some businesses are about to change a core system, and building against the one they are replacing is money burned. Knowing to wait six months is a legitimate result of an audit, and it is one we give.

How is this different from a big consultancy?

Two ways. The first is who shows up: PelagosAI is two founders, so the person auditing your business is the person who would build the fix and support it afterwards. Nothing is handed to a delivery team who were not in the room.

The second is what we are selling. A firm with a bench to fill has a structural reason to find a large project. We would rather do one job that pays for itself and be asked back than sell a programme you regret.

What do you look at during the audit?

Where data is retyped from one system into another. Which questions your team answers most often and how long each takes. Where work waits on an approval or a person rather than on anything real. What your systems can already talk to, and what would need a bridge built.

We also look at what happens when something goes wrong today, because that tells you more about a process than the happy path does.

What happens after the audit?

Whatever you decide. Some clients take the map and run it internally, which is a fine outcome. Others pick the top item and ask us to build it, which is where Pelagos Automation or Pelagos Agents takes over, and where Pelagos Care keeps it working afterwards.

There is no obligation attached to the audit and no pressure applied after it. If the honest answer is not yet, that is the answer you will get.

If you do build, we start from the highest-value item rather than the most impressive one. That ordering matters more than it sounds: the job that pays for the project should be the first thing live, because it funds everything after it and it settles the question of whether this works for you before you have spent much finding out.