We move repetitive work into systems,and leave the decision with people.
ALTAI Digital turns the work your team repeats every day into written rules and measurable workflows. The aim is not to sell you another piece of software; it is to build a working order on top of the systems you already run.
Human approval
An approval point in every workflow
End to end
From discovery to measurement
16 products
Four templates, one method
Your data
On your own infrastructure
Teams that run this method
AI is not the goal,it is what takes weight off the process.
Knowing the technical side is not enough on its own. Moving a workflow into a system means knowing how that work actually runs inside the organisation, which decision sits with whom, and why a step keeps repeating. That is why every build starts with the process, not the tool.
We do not run technology projects
A build sits inside real work. We do not stand up an isolated system and hand it to the team.
We do not take the job over
The system takes the repeating steps. The step that needs judgement stays with a person from beginning to end.
The tool comes second
Which tool we use is settled after we know which process we chose and why.
Typical project outcomes
70%
Less manual effort
The upper bound measured on defined, repeatable steps
20-35%
Gain in team productivity
The average measured in the teams affected
4-8
Weeks to the first live workflow
Varies with complexity and the number of systems
How it is measured: the discovery report states the before and after comparison in writing.
What is technically possibleis not always economically right.
We decide together whether a process is worth automating by looking at three measures. All three are measured during discovery week and written into the report.
01
Repetition and time
How often the step runs today, and how long each run takes.
02
Whether the rule can be written
Can the rule be put on paper, is the input already digital, are the exceptions countable.
03
Payback period
How long the build cost takes to be covered by the time it frees.
If a process does not clear these measures, we put that in writing too.
One workflow that runs is worth more than five that were left half finished.
Most organisations can see that automation would help, but cannot pick the first step. There are many candidate processes and no measure to rank them, so either nothing starts, or five things start at once and none of them finishes.
That is exactly the job of discovery week. The process map comes out, the candidates are prioritised, the scope of the first workflow is written down, and the reasoning for the steps we ruled out goes into the report.
From discovery to measurement,the same team carries it.
The same team takes the project from analysis to live, and from live to monthly measurement. There is no handover point, so the reasoning behind a build does not disappear with the people who made it.
- 01One week
Discovery
The process map, the priority order and the measurement plan are written.
- 024-8 weeks
Build
The first live workflow opens, scoped to a single process.
- 03Every month
Measurement
The numbers taken during discovery are measured again and sit next to the earlier value.
Every sector arrived with a different constraint: in one it was patient privacy, in another the contract approval path, in a third a multilingual listing pipeline.
What they share is this: the workflows we built are not running in a demo, they are running inside daily work. From request handling to document generation, from the booking calendar to ad measurement, all sixteen products are built with the same method.
The founders take the call, not a sales team.
Three sentences,true of every build.
Technology should make the work simpler, not more complicated.
01
Automation supports people; it does not replace them.
02
If a result cannot be measured, it is not claimed.
03
Meet the founders
Using data and AI is a legal responsibilityas much as a technical one.
Transparency, traceability and data protection are not controls bolted on later. They are part of the architecture from the first day of the build.
The system prepares, a person decides
The approval point is not an exception; in most of the workflows we build it is a deliberate step. On actions that are hard to undo, sending, paying, deleting, the workflow stops and waits for a person.
- AI does not take the person's place; it hands them a finished draft.
- Every suggestion carries the rule it is based on, written next to it.
- Oversight and control stay with the organisation; you draw the line.
Whatever the system did is in the log
Every workflow we build keeps an audit log: which decision was made when, by whom, and under which version of the rule.
- Traceable decision logic.
- A written inventory of data sources and models.
- A clear definition of system boundaries and handover rules.
Data stays on your own infrastructure
Data protection is not a requirement met afterwards; it is a starting condition of the architecture.
- Data processing compliant with GDPR and KVKK.
- Workflows run on your own server or in your own account.
- Production data and training data are kept apart.
- A field that is not on the list never reaches the system at all.
Control stays with the organisation
Beyond data protection, where the build sits inside the organisation matters as well. We write the permission and responsibility structure together.
- Defined responsibilities.
- Clear access and permission rules.
- Documentation open to audit.
The source code is yours, the accounts are in your name
We build so that you are not locked in if you want to continue with another team tomorrow.
- The source code sits in your repository from day one.
- Domain, hosting and ad accounts are opened in your name.
- When you ask for a handover, it comes with the project documentation.
A responsible buildmeans a measurable result.
Lining up what technology makes possible with what the law and the organisation require is not the easy part of the work. ALTAI Digital treats that alignment as part of the build: the measurement plan is written before the build starts, and the result is measured again with the same method.
The process first, the proposal after
In a short discovery call we map the process together and tell you plainly whether it is worth automating. If it is not, we say that too.
30 minutes · no preparation needed
