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A working session in a Singapore office, mapping a business process on a glass wall

The work thateats your weekisn't the work.

Skillify Global. AI productivity and business transformation, Singapore. We find the hours your processes lose, then build the systems that give them back.

Take the 60-second audit

Where does your week actually go?

Five questions, no email required. Every number on the right is arithmetic on the answers you give. Nothing else.

01How many people are in the team?
02Hours a week the average person spends assembling reports and updates
03Hours a week on repeat admin: data entry, chasing, copying between tools
04Are your core processes written down?
05What is the team using AI for today?
Reclaimable, team-wide
0
hours a week
Stage 01. Ad-hoc

Send this estimate to us

An estimate built from what you just told us, not a promise. The real number comes out of the diagnostic.

Most teams do not need more software. They need the hours back.

What we do

Four ways in. They stack.

We map how the team actually spends its week, then rank every task by what it costs you and how automatable it really is. Two weeks inside the real work: reporting, handovers, approvals, customer replies. You get back a ranked list of what to automate first, what to document before it can be automated at all, and what to leave alone because a human should be doing it. The map is yours whether or not you continue with us.

The top of that ranked list, built, tested against your real cases, and handed over as working systems. We build inside the tools you already pay for wherever that is possible, because a system nobody has to log into separately is a system that actually gets used. Every automation ships with a written runbook and a named owner on your side, so it survives the person who commissioned it moving on.

Your people trained on the tools in the context of their own work, not a generic course they forget by Friday. Sessions are built around live tasks your team brings in. Everyone leaves with a shared prompt library for the work they actually do, a written policy on what is and is not safe to put into a model, and a clear path for escalating the judgement calls.

An ongoing seat at the table as the operating model changes underneath you. A recurring engagement rather than a project: a periodic re-audit as the business shifts, new automations as new bottlenecks appear, and a single point of accountability for AI decisions so they stop being made ad-hoc by whoever happens to be loudest in the meeting.

How an engagement runs

Measure first. Build second.

Map

Two weeks inside the real work. We measure before we recommend anything.

Rank

Every task scored on hours lost and on how automatable it honestly is.

Build

The top of the list only, built and tested against your live cases.

Hand over

Runbooks, named owners, training. It has to work without us in the room.

Questions

Worth asking first.

Do we have to replace our current tools?

Usually not. Most of what we build sits on top of the systems you already pay for.

What if our processes are not documented?

That is normal, and it is part of the work. Writing a process down is step one of automating it.

Is our data safe?

We agree what can and cannot go into a model before anything gets built, and we put it in writing.

How small is too small?

If one person is losing a day a week to admin, there is already something worth fixing.

How long before we see anything?

The map is a two-week engagement. The build starts as soon as the ranking is agreed.

Do you train the team, or just build?

Both, and we prefer both. A system nobody was taught to run quietly gets abandoned.

Tell us where the week goes. We will tell you what we would look at first.

Or skip the form entirely and message us on WhatsApp.

Thank you. Your message is on its way. We reply within one business day.

No newsletter, no drip sequence. One reply from a person.