A structured way to understand where AI and automation could realistically free up time in your organisation — based on your job descriptions, your employees' input, and real market salary data.
The assessment runs role by role, and you set the scope — a single role, a team, or the whole organisation. Each role goes through the same five steps, from task list to euro figure.
Job descriptions for the chosen roles are collected.
Employees are surveyed on their time use, task by task, across typical and busy months.
Each task is scored on four criteria — repetition, data, people, responsibility — then given a verdict: Automate, Augment, or Keep human.
The classification is validated with employees in the role and HR before any numbers are shown, as tasks differ between organisations.
Freed-up time is priced in euros from Latvian salary medians, adjusted for true cost and weighted by headcount per level.
One report per profession group. Every number in it comes from three inputs: the job descriptions, the team's own time survey, and salary medians from Latvian job ads.
Task by task, in normal vs. busy months, and by experience level — so you see where the hours actually go.
Each task scored on four criteria and given a verdict: Automate, Augment, or Keep human.
Freed-up time priced with real Latvian market salaries, broken down by seniority level.
The skills that define the role, and the professions with the most similar skills — the natural reskilling destinations for the team.
How a team's time turns into freed-up capacity, and then into euros — for each role and seniority level. The figures below are illustrative.
We normalise against the EU ESCO framework — both the tasks in a role and the role itself — so tasks stay comparable and salaries can be benchmarked against the same occupation.
Three different ways of describing the same work — collapsed into one standardised task. This is what makes tasks comparable across roles, teams, and (eventually) across organisations.
The clearest way to understand the potential of AI and automation in your organisation is to measure it with real data, at whatever scope you choose. To run the exercise, we would need four things from you.
The job descriptions for the roles you choose to include — often 5 to 15 to start.
A short survey for the employees in those roles, asking how they spend their time. ~20 minutes per person.
A ~1-hour session per role — with HR and representatives of that role — to confirm the task classification before any numbers are calculated.
A 1.5-hour working session with your leadership team once the analysis is done.