Mapping
We record the process as it actually happens, with the people who run it — not with the people who describe it.
Solution
We map the real process — not the one on the flowchart — and automate what repeats, what fails and what stalls. The goal is not to have automation: it is to give hours back and cut rework.
We record the process as it actually happens, with the people who run it — not with the people who describe it.
We automate what repeats most and fails most first, not what is easiest.
The decisions inside the process become explicit, auditable rules rather than tacit knowledge.
Who approves, in what order and with what authority — with every step recorded.
Systems start exchanging data on their own, through APIs instead of spreadsheets.
The system reports when something stalls, instead of waiting for someone to notice.
Process indicators on screen, with the number coming from the source rather than from manual consolidation.
A history of what was done, by whom and when — the basis of any audit.
The second column is the one almost nobody publishes. It exists because a scope with a declared limit is the only honest way to agree on price and deadline.
If the process changes every week, automating freezes a design that does not exist yet — stabilize it first. If the process runs three times a month, the cost of automating never comes back. And if the real problem is that nobody agrees on what the process is, automation will only speed up the disagreement.
A well-bounded process usually goes from mapping to production in a few weeks. What makes it vary is not the automation itself — it is how many systems must be touched and what state they are in.
How many systems are involved and whether they have APIs.
How clear the process is before the project starts.
How many exceptions the process accepts today.
Whether approval spans multiple levels.
Volume of historical data to consider.
Availability of the people who run the process for the discovery sessions.
A solution is not a separate box: it is the same services applied to one specific problem.
A solution is not bought from a catalogue. It starts with an assessment of the real process, and only then becomes scope, schedule and proposal.
That is not the goal and we do not promise it. Automation gives hours back — what the company does with those hours is its own decision. In most cases the team starts doing what it could not do before for lack of time.
We assess that before proposing anything. There are routes — database, exchange files, interface automation — and each carries a different cost and fragility. If none is viable, we say so instead of improvising.
No. Most of what stalls an operation is deterministic rule: if this happens, do that. That needs no AI, and solving it with AI costs more and behaves less predictably. AI only enters when the problem requires interpreting something that does not fit a rule.
By measuring beforehand. We record how much time the process consumes today and how often it fails, and the same indicator is tracked afterwards. Without that baseline, any number that comes later is just talk.
When an off-the-shelf tool solves it, yes — and we say so. Building from scratch what already exists in a monthly subscription would be selling hours without delivering value.
Process Automation
The first conversation and the preliminary assessment cost nothing. Only then come the scope and the proposal.