A new service from ERDA

AI Potential
Mapping

A structured way to understand where AI and automation could realistically free up time in your organisation — based on your real job descriptions, employee input, and salary data.

The solution

AI Potential Mapping

A structured assessment that looks — task by task, role by role — at where AI and automation could realistically free capacity inside one function, and what that capacity is worth in euros. Four steps, start to finish.

1

Collect

You send us the job descriptions of roles in the chosen function.

2

Survey

Employees tell us — task by task — how much of their time each activity actually takes.

3

Map

We classify every task against three transformation categories: Robotic Process Automation, AI / Machine Learning, and Social Robotics.

4

Value

We translate freed-up time into a euro figure — per role, team, and function. Using your salary data, or our own database built from public job ads when confidentiality matters.

What you receive

The Opportunity Map

Outputs your leadership team can work with directly. The centrepiece is the Opportunity Map — a set of views showing transformation potential across the function. The two below are illustrative examples of what the map can include.

1 · Per-role view headline

How much of each role could be automated or supported by technology
Financial Analyst
38%
24%
8%
30%
AP Specialist
52%
18%
26%
Controller
20%
32%
42%
FP&A Lead
14%
40%
10%
36%
Team Lead
22%
14%
54%
Robotic Process Automation AI / Machine Learning Social Robotics Not transformable

2 · Where to start shortlist

Top tasks ranked by value of time spent
1
Invoice reconciliation
RPA
€84k
2
Monthly management reporting
AI
€61k
3
Expense claim review
RPA
€47k
4
Supplier master data updates
RPA
€38k
5
Forecast data consolidation
AI
€33k
6
Answering repetitive employee queries
SOC
€22k

The Opportunity Map

A set of visuals and numbers showing transformation potential across the function — including per-role breakdowns, freed-up capacity translated into euros, and a ranked shortlist of tasks to start with.

Executive readout

A 1.5-hour working session with your leadership team to walk through the findings and discuss next steps.

A methodological note

Working with the ESCO framework

We normalise every task against the EU ESCO framework, so tasks can be compared consistently across roles, teams, and — over time — across organisations.

  • A shared vocabulary. Different wordings like "manages stakeholders" and "liaises with clients" map to the same underlying task.
  • Built on an EU standard. ESCO is the European Commission's official occupation and skills framework.
  • Comparable over time. As we work with more organisations, the dataset grows — making cross-company comparison possible down the line.
How normalisation works
"Manages key client relationships"
"Liaises with external stakeholders"
"Owns customer communication"
ESCO task
Communicate with customers

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.

If this sounds useful

What we'd need to get started

The clearest way to understand the potential of AI and automation in your organisation is to measure it — in one team, with real data. To run the exercise, we would need three things from you.

1

Job descriptions & salary data

  • JDs for the roles in one chosen function — typically 5 to 15 roles.
  • Salary data for those roles — yours, or our database built from public job ads if confidentiality matters.
2

Employee participation

A short survey sent to the employees in those roles, asking how they spend their time. ~20 minutes per person.

3

A readout slot

A 1.5-hour working session with your leadership team once the analysis is done.

Pricing
€2,500 base + €400 per role
Typical · 10 roles
€6,500
includes the full analysis and executive readout