AI workflows and automation
Connect tasks, documents, data and repetitive processes so they run on without someone pressing buttons.
Services · Applied AI
AI development that works inside your organisation
We don't sell the word "AI" — we use AI to build things that solve problems: cutting repetitive work, connecting documents and data, and systems that adapt to each user, the same way AIVEQ and TUXA use AI to read every answer a learner gives.
- AI workflows and automation
- Works with your existing systems
- People decide what matters
- Start in 2 weeks
AI systems we build
AI inside real work, not just a chatbot on your website
Good AI understands the data, the process and the context of the work. So we start from what your team repeats every week, then decide where AI does well and where people still need to decide.
AI search over your own knowledge
Let your team ask questions and find answers across internal documents, manuals and know-how in plain language.
AI that adapts to each user
Systems that read users' behaviour and results and adjust what they recommend — the way AIVEQ adjusts questions to each learner.
AI in your existing systems
Add AI to your web app, mobile app and business systems through APIs without rebuilding everything.
AI in our own products
We run AI with real users every day
Before building AI systems for anyone else, we use AI in our own live products and see how it behaves with real data.
AIVEQ
LIVEAIVEQ analyses each learner's accuracy, answer patterns and progress, then adjusts question difficulty and suggests the foundations to revisit when they get stuck.
See the product
TUXA
LIVETUXA reads answer patterns, reasoning, accuracy and time to find where points are lost, then plans the next task where it matters most for the exam.
See the product
Before you hire
How to choose an AI development company: 6 questions to ask before you hire
Every company can say "AI". These questions separate teams that make AI work in practice from teams that only sell the word — ask us too.
Do they run AI in their own products with real users?
A good-looking demo is easy. Making AI work correctly with real users every day is much harder.
Will your data be used to train models — and is that in the contract?
A verbal promise is not enough. This belongs in the contract with every AI provider.
At AI.ac.thStudent data is not used to train external providers' models — a requirement in every contract with the AI services we use — and we share a draft data processing agreement in advance.
Can they tell you which tasks should not use AI?
Teams that propose AI for everything tend to raise costs and produce results nobody can check.
At AI.ac.thIn the Discovery Sprint we say plainly which tasks are worth AI and which are not.
Are there points where people check and decide?
Every AI can be wrong. Work that affects people or the business needs a person to check it first.
At AI.ac.thWe build accuracy checks into the process and keep people as the decision-makers for important work. AI assists; it does not decide.
Do they disclose model providers and server locations?
You should know whose hands your data passes through before the work starts, not after a problem.
At AI.ac.thWe disclose every external data processor — hosting and model providers — along with the countries their servers are in.
Do you have to rip out your existing systems?
AI projects that start by rebuilding everything take a long time before you see any result.
At AI.ac.thNo. We connect AI to the systems you already use through APIs and only build new what the old systems cannot do.
Data and security
Questions to ask before signing with anyone
AI systems work with your organisation's data, and many of our systems handle data about minors. So we have written the answers down in advance for your leadership and legal team to review before we even meet.
- Student data is not used to train external providers' models — a requirement in every contract with the AI services we connect to.
- We collect only what the work needs — no unrelated personal data.
- You own your data, not us — you can export it, ask us to delete it, and at the end of a contract it is deleted within the agreed period.
- We disclose every external data processor — hosting and model providers, with the countries their servers are in.
- A draft data processing agreement is available in advance — for your legal team to read before commercial discussions begin.
How we work
From work your team repeats every week to an AI system they actually use
Every step has a clear deliverable, and we test with real users before rolling out to the whole organisation.
Understand the problem
We talk to the people who will actually use the system, not just the people commissioning it, map the current process end to end, and separate the real problem from its symptoms.
What you getA brief covering the problem, the users, the outcomes that must change — and a list of what we recommend not building.
Design the system
We design the data structure, access rights and key screens, starting from the tasks users do most often — not the prettiest screen.
What you getA clickable prototype, the data structure, and a development plan split into rounds.
Build and test
We ship in rounds you can try before it is finished, because what users say when they see the real thing is always different from what they say about a picture.
What you getA system tested with real users, with test documentation and a log of what was fixed.
Launch and improve
Launch day is not the end. We follow real usage in the first weeks, fix what gets in the way, and decide what to build next from what the data shows.
What you getA live system, an administrator guide, and a proposal for the next round based on usage data.
Start small
Discovery Sprint · 2 weeks
Step one tells you which tasks are worth AI — and which are not.
Not ready to commit to the whole project? Start with step one alone. At the end you will know what to build, what it should cost and how long it will take.
Talk about a Discovery SprintWhat happens in the two weeks
- Interviews with real users
- A map of how the work is done today
- Requirements ranked by what must come first
- A prototype of the key screens
- A budget and timeline estimate
- A straight answer on what not to build
- Delivered as documents any team can build from — no lock-in to us
FAQ
Frequently asked questions
What businesses and organisations ask before starting an AI project
Where should I hire an AI development company?
Choose a team that runs AI with real users in its own products, puts data terms in the contract, can tell you which tasks should not use AI, keeps people in charge of important decisions, discloses its model providers and doesn't make you rip out your existing systems. See the six questions before you hire an AI company.
Can AI really help our business?
It depends on the work. AI does well on repetitive work, large volumes of documents or data, and tasks whose results can be checked. Work that needs a lot of judgement still needs people to decide. A 2-week Discovery Sprint shows which tasks are worth using AI for — and which are not.
Will our data be used to train AI models?
For systems that handle student data, the data is not used to train external providers' models — a requirement we set in every contract with the AI services we connect to. We disclose every model and hosting provider along with where their servers are, and we have a draft data processing agreement your legal team can read before any commercial discussion.
Do we have to replace our existing systems?
No. We connect AI to your web app, mobile app or existing systems through APIs and build new only what the old systems cannot do.
Can AI make mistakes? How do you control that?
Yes — every AI system can be wrong. We build ways to check accuracy into the process and keep people as the decision-makers for work that matters. AI is an assistant, not the decision-maker.
Which AI model providers do you use?
We choose based on the task, the accuracy it needs, cost and the data requirements of each project, and we disclose every provider to you before work starts.
Our team has no AI background. Can they use the system?
Yes — a good system should work without understanding AI. If you want your team to use AI more in their daily work, AI Academy runs a "Put AI to work" course for teachers, staff and employees; everyone leaves with at least one working workflow.
How much does an AI system cost and how long does it take?
It depends on scope and the systems it must connect to. Start with a 2-week Discovery Sprint to get a prototype, a budget estimate and a timeline you can rely on before committing to the whole project.
Our services
Related services
Is there work your team repeats every week?
Tell us where your team loses the most time and we will help you see how much AI can really do.