The result
The repetitive work leaves your team's desks
The quoting, the follow-ups, the first draft of the report, the file that has to be found and summarised - one of those stops being a person's job, and the time goes back to billable work.
Corporate AI training · Singapore · companies only
Your staff learn it this week, and run it in their own work the next
Every course ends with something running in your business, not notes in a folder: a signed AI-use policy, a working app on your own paperwork, an agent answering your own customer questions. Built by your people, changeable by your people, without us.
Three courses, 24 sessions, 72 hours, online at each person’s own pace, designed and marked by an ACTA-certified trainer. Every person who finishes leaves with a certificate naming the course, the hours, the dates and the assessment — and how anyone later checks that the work was done. Companies only: no public, student or individual courses.
A short, free assessment first, so we quote for work you actually need.
72 hoursthree courses · 24 sessions
Week onesomething running on your own work
Certificateper person, verifiable
No IT teamneeded to start
The film
Four minutes, and you will know whether this is for you
What each stage produces, how it is taught, and how a member signs in. Play it here — nothing to download.
Prefer to read? The same ground is covered on the courses page, AI Confidence, AI at Work and Stage 3 · AI Made Yours.
How it is taught
The training is delivered by a specialized AI system and an ACTA-certified trainer.
Your own staff, your own paperwork. The AI system takes each person through the sessions at their desk and at their own pace - nobody has to take a week out for a room full of other companies' examples.
That is the difference between this and a classroom day or a courseware licence. The AI system runs the teaching, and the staff member's own result is the proof: a working AI colleague built on your real work, the written policy that says where it may and may not be used, and the record of how it was built. Companies only - we do not teach consumers, students or individuals, and we do not put another provider's material under our name.
The human part is not an afterthought. Every course is carefully designed by an ACTA-certified trainer - the Advanced Certificate in Training and Assessment (ACTA) - and every session was written, tested and rewritten by hand before it went near a client: the exercise, the deliberately wrong answer we plant, and the checklist your staff are marked against. The trainer who holds that qualification sits in on the scheduled live touchpoints, checks the work, and marks each assessment under their own name; that name goes on the learner's record, which is the first thing an auditor asks to see. See exactly what a course record holds, and who writes each line.
It also means we can tell you plainly which of your jobs is worth automating and which is not. If what you need turns out to be general IT training, or a system you already own, we will say so at the assessment rather than sell you a stage you do not need.
The problem
Skilled people are spending their day retyping what the company already knows
In most companies under 50 staff there is no IT team. The work lands on the people who already have a full job.
Someone keys the same client details into a form, a spreadsheet and a report. Someone writes the same follow-up email for the fifth time this week. Someone hunts through folders for a document they know exists. Nobody is doing anything wrong - the company has simply grown faster than its paperwork.
Then AI arrives, and the first thing that happens is usually the riskiest: staff paste client details and case notes into a free public tool, because it is the only AI they have been given. That is the moment a director starts worrying, and rightly.
Hiring an IT person does not fix this. It puts the knowledge in one salary that can resign. What fixes it is teaching the people who already hold the work how to hand the repetitive part to a machine they control, safely, and keeping the record of how it was built.
What changes
Three things your company has at the end
The result
You own the asset, not a subscription to it
The colleague your staff build sits on your own workflows and your own documents. If you stop working with us, it still runs, because your people built it and can maintain it.
The result
There is a written answer to the awkward question
What may our staff put into AI, what may they never put in, and who checks it? By the end of AI Confidence that is a written company policy, not a shrug - which is the part auditors ask about.
No case study is quoted here because we will not publish a client's name or numbers without their written permission. Ask on the assessment call and we will tell you plainly what we can and cannot show you.
The training, measured on your own work
Three numbers, written down before the course and read again after it
A satisfaction form tells a director nothing and convinces nobody who asks a year later. So the outcome is measured instead, on the work the training was about, in three numbers the company keeps.
Number 1 · the job
The task it took over, and what that task cost each week
The three tasks the learner picks are timed in session 2 on the real work, in minutes per week, rather than estimated. The same three are timed again the same way a month after the course, so what changed is a subtraction and not an opinion.
Number 2 · the hours back
The time it gives back, counted from the work
Minutes saved × the number of times that job really runs in a week, so the figure comes from the work rather than from a promise.
Number 3 · being right
How often the answer was right, and what was caught
The learner keeps a running log of answers they checked and rejected, each with the reason it was rejected. It is the most useful page in the folder, because it is the evidence that a person was still deciding, not the machine.
Who writes it down, and where it lives. The learner does, in their own words, on one dated sheet per person, kept beside the certificate and the session record. Session 2 teaches both readings to be taken the same way, so the company can repeat the measurement years later without us. What else that folder holds.
What we will not do: state a saving we did not measure, or publish a client’s name or figures without written permission. If a number does not move after a course, the sheet says so and we will say so. A measurement that can only read well is not a measurement.
Where AI has actually got to in your business
The four steps, and ten seconds to see which one you are on
Business owners are told they are "using AI" while the real work has not moved. This is the ladder as it is usually described - AI answering you, one job running itself, the jobs sharing one record, then the operation running. Read it and you will know where your company stands.
Step 1 - AI answers you
You open a chat, ask, and it writes the email, the post, the quotation. Your week gets faster. But every job still starts with you, and every answer is still carried into the other systems by hand.
Step 2 - One job runs itself
A job that happens the same way every time - a lead arrives, you reply, you send the prices, you offer a time - is written down once and wired so the AI does the middle. The trigger is the work arriving, not you opening a chat.
Step 3 - The jobs share one record
The automations stop being strangers: answering the lead, qualifying it, booking the visit, the follow-ups on day three and day seven, updating the job - all reading and writing the same customer record, so nobody is asked the same question twice and nothing slips. Your own rules hold: a discount over your limit still waits for your yes.
Step 4 - The operation runs
Each department has its own AI colleague and they hand work to each other - sales closes a job and delivery picks it up, delivery finishes and the invoice goes out. Your job becomes approving, reading the numbers, fixing what breaks, and deciding what to build next.
The one-second test
If the AI only works when you open it, you are on step one
And the fix is not a licence, and not another subscription. It is knowing how to build the thing on your own work.
The four steps above are a published way of describing how far AI has reached inside a company; they are widely written about, and they are not a scale we invented. What is ours is the training that walks your own staff up them.
This is the difference to hold on to: we do not hand your company an AI tool and leave you using it. Your own people are taught to build it, run it, check it and change it, on your own paperwork. So the day the training ends the system and the skill both stay in the company, and nothing stops working if you never call us again. That is the move from using AI to being an AI company - the work runs on systems your own staff built, understand and can change.
The two training stages below are how they get there. AI Confidence makes everyone able and safe on real work, AI at Work builds one working system on the company's own data, and Stage 3 · AI Made Yours is where a company stops buying AI and starts running a project it owns - including the choice to build all the way up this ladder.
What you walk out with
Six things your company holds at the end
Not a completion rate. Not a video library. These six, and each of them can be put in front of somebody who asks.
1 · the system
A working AI system on your own work
The thing your team built, running on your real processes, in use the week the stage ends — not a sample built on somebody else's paperwork.
2 · the policy
A written answer on what may go into AI
What your staff may put in, what they may never put in, and who checks. Signed, dated, and the first thing an auditor asks for.
3 · the certificate
A certificate for every person trained
Course, dates, hours, assessment result and the ACTA-certified trainer's name. Every field is listed here.
4 · the hours record
Session by session, per person
Dated attendance and hours, marked by the trainer. Kept with the certificate, so the hours behind it can be checked.
5 · the assessment
Evidence of what each person can do
Marked part by part on the work they demonstrated, not a quiz. A re-assessment is recorded separately, so the first attempt stays visible.
6 · the proof
The whole lot, indexed
Certificate, hours, attendance, both assessment results and the runbook for the system that was built — one folder per person, so a question asked a year later is answered the same day. See how it is marked and checked.
Choose your path
Our stages
A ladder, not three separate products. Most companies start at AI Confidence and decide about the next stage only after they have seen the first one land.
16 hours · 4 modules
AI Confidence — Get Your Company AI-Ready
Every person on your team builds a small working app of their own. First they learn what AI actually is — the models, the harnesses, APIs — then they describe a small app in plain words and the AI writes it: one screen, the work behind the button, a store that keeps the work. The company ends AI Confidence with a written AI use policy, its first working workflows, and a working app each person keeps using.
24 hours · 4 modules
AI at Work — Build Your Company's Own AI System
Your team picks one of five systems — HR, Operations, Logistics, Sales and Marketing, or Customer Service — and builds it fully: customised on the company's own data and documents, with retrieval, guardrails, evaluation and a named owner. One system, built to run and maintained. Not five half-built. Built for the whole company rather than one desk, so more of your people use it, each on their own work. The software is the company's; the machine under it is not — its data and memory sit on a server we provide or recommend, so there is no hardware to buy. Owning the whole thing is AI Made Yours.
32 hours · 4 modules
AI Made Yours — build, monitor and grow
One customised project — from nothing to something — built for the company's benefit and chosen with the company's own numbers. Your team builds it, learns to monitor and maintain it, keeps the evidence that stands up to a question, and takes it commercial: a project that takes hours out of the administration, or one that adds a line of income — the system does the research and brings back about three feasible options — clients served overseas, and margin back in the price.
The whole path in one view
Hours and shape of each stage. Total: 72 hours.
| Stage | What it is | Hours | Sessions | What your team can do after |
|---|---|---|---|---|
| AI Confidence — Get Your Company AI-Ready | Use AI safely on real work | 16 | 4 online | Work faster and safely; company AI use policy written |
| AI at Work — Build Your Company's Own AI System | Research, then build it | 24 | 8 online | One working AI colleague on a real company task |
| AI Made Yours — build, monitor and grow | Build a customised project for the company | 32 | 12 online | A company-specific system + the records to defend it |
Swipe sideways →
What AI Confidence is actually sold as
We sell a result, not hours of video. This is the whole promise, in four lines.
- The result
- Every learner finishes AI Confidence able to use AI safely on real company work, with a first workflow running and a written company AI use policy signed off.
- How it is measured
- We measure it per learner: the workflow they built, run by them on real work, plus the signed policy. Not attendance, not a multiple-choice test.
- When it lands
- Within the agreed number of weeks from enrolment, at your team's own pace, with the touchpoints scheduled up front.
- If it does not land
- If a learner has not produced the workflow and the policy, they stay on the course at no extra cost until they have, or you do not pay for that seat. Whichever you prefer - that seems fair on both sides. A learner who did not take part is a reschedule rather than a refund; the conditions are written out on our promise page.
How it is marked
Every assessment is marked twice — once by the trainer, once by the AI
A person watches the work and signs it. The AI then runs what was built on inputs the learner has never seen: does it start, does it answer, does it refuse what it must refuse, can it show the paragraph it took the answer from. Its raw output is filed with the mark.
Both have to pass. One pass and one fail is a fail, and a retake is recorded as a retake — the first attempt stays on the record. Nothing is marked on attendance: hours are recorded, competence is judged on the work itself.
A free quotation
Ask us for a free quotation
What it costs comes to you in a written quotation for the seats you need, and nothing is charged before you approve it.
The first step — the AI Readiness Report — is free.
Ask us for a free quotation · Start free with the AI Readiness Report
Questions directors ask
The short answers
Who actually writes the courses?
Every course is carefully designed by an ACTA-certified trainer - the Advanced Certificate in Training and Assessment (ACTA). The AI delivers the sessions and a certified trainer sits in on the scheduled live touchpoints, marks the assessment under their own name, and that name goes on the learner's record.
Why not just hire an IT person instead?
A hire costs a salary, and the knowledge leaves with them. This builds the capability into people already on your payroll, on the work they already do, and the thing they build stays with the company.
How much does it cost?
We quote the work, and we confirm it at the build assessment, because seats and starting stage decide the work. Ask us for a free quotation, and the first step — the AI Readiness Report — is free.
Will our staff actually finish an online course?
That is the fair question, and the honest answer is that most online courses are not finished. Ours are built around the learner's own work, which is why they come back, and every stage has scheduled online touchpoints so nobody is quietly stuck.
Is our company data safe?
AI Confidence writes the rules for what may and may not be put into AI, and the later stages build with those rules in place. We do not ask you to hand us your client data to run the course.
What if our team is not technical at all?
That is who it is built for. If your staff can follow a process and use a spreadsheet, they can do this.
Does that mean we depend on you afterwards?
No, and that is the whole design. Your staff are taught to build, run and change the system themselves, the work is handed over with its record, and the thing your team built is the company's own - so nothing stops working if you never call us again. We sell the training, not a subscription to ourselves.
Can we run this for only some of the team?
Yes. Most companies start with the people closest to the repetitive work. The assessment is where we agree who starts and why.
Passing this to your director or HR lead?
Most people who read this page are not the person who approves the training budget. Here is the short version, written to be forwarded.
Three courses, 72 hours, online at your staff's own pace, with a scheduled online touchpoint inside every stage. The company keeps what the team builds: the colleague itself, the written AI use policy, and the record of how it was built. There is no software or platform subscription to buy.
If the decision is not yours alone, put the build assessment in front of whoever signs off. It is a short online conversation, it costs nothing to have, and it ends with a written starting point rather than a pitch.
No account, no form and no mailing list - the link is the whole thing.
Next step
Get the free AI report
A short online conversation. We look at the work that is eating your team's week, say plainly whether this fits, and quote for the seats you actually need. If it is not a fit we will tell you that on the call.
Ask us for a free quotation for the seats you need — nothing is charged before you approve it.