SKILLBERG INTELLIGENCE · DEMO

The decision tool, in seven steps.

A fictitious company of 210 people and six roles. Change the two settings below: every step recalculates with the tool's rules.

Book 30 min · demo on your roles
Measurements linked to public research, including the Anthropic Economic Index — see the method158,000 skills · 8 reference frameworks
How far do you let AI go?
AI proposes, you validate
How far are you ready to go to equip the organization?
STEP 1 / 7

Where time goes, role by role

For each role, the share of working time AI can take, the share that becomes mixed, and the share that stays human.

Customer service advisor80
Maintenance technician60
Buyer22
HR assistant18
Marketing project manager16
Financial analyst14
AI · delegateMixed · superviseHuman · keep
STEP 2 / 7

What it returns, and what must be learned

Time returned to teams and new skills to acquire: the basis of your strategic workforce planning and your skills development plan.

Time returned to teams
24%
Share of working time, weighted by headcount.
New skills
21
7 more wait until the organization is equipped.
Full-time equivalents returned
50.6
Time to reassign and train.
Time returned, valued
€2.7M
At each job's average loaded salary, per year.

Equivalents, not positions to cut. Time returned is reassigned, trained and negotiated — the substance of your workforce planning (GEPP).

STEP 3 / 7

Your budget, today and with your hypotheses

What the roles cost today, then time returned, AI agents, maintenance and set-up. Every starting cost can be replaced with yours.

Today
headcount × average loaded salary
€11.2M
Time returned, valued
to reassign: the envelope of the resource plan
− €2.7M
AI agents
compute and human supervision, per job where AI acts
+ €120k
Tool maintenance
20% of set-up, per year
+ €56k
Set-up
training and tools, spread over 3 years
+ €130k
With your hypotheses
net annual saving: €2.4M
€8.8M
STEP 4 / 7

Three readings of one decision

Without AI, with your hypotheses, or with no limit at all: all three are computed from the same data, to put your choice in context.

Without AIYour hypothesesNo limit at all
Time returned to teams0%24%25%
New skills212128
Set-up budget€0€390k€435k
Net annual saving€0€2.4M€2.5M
STEP 5 / 7

Where to start

A ranking of roles on five criteria you weight. Four buttons suggest priorities; they do not decide for you.

Productivity 20Annual saving 20People to train 20Required maturity 20Desirability 20
1Customer service advisorCritical
2Marketing project managerCritical
3Financial analystHigh
4HR assistantMedium
5BuyerMedium
6Maintenance technicianLow
STEP 6 / 7

Date your decisions

Each configuration gets a date. Skillberg proposes four milestones to 2030; you adopt them, re-date them or apply them to the settings.

ConfigurationTarget dateOn the chart
People keep controlproposed by SkillbergSep 2026
Work is done with AIproposed by SkillbergMar 2027
AI proposes, you validateproposed by SkillbergMar 2028
No limit set any moreproposed by SkillbergJan 2030
0%8%16%24%32%0%Sep 202618%Mar 202724%Mar 202825%Jan 2030

Time returned to teams · share of working time · dates are spaced in real time.

STEP 7 / 7

Where the difference comes from, period after period

The annual costs of each period, then what moves them to the next: time returned, set-up, training, AI models.

€7.9M€9.7M€11.4M€11.2MSep 2026€9.4MMar 2027€8.7MMar 2028€8.6MJan 2030
Annual costs of the period1. FTE equivalent saved2. Set-up3. Training4. AI models
PeriodCosts beforeFTE equivalent savedSet-upTrainingAI modelsCosts after
Sep 2026 → Mar 2027€11.2M−€2.0M (+37.0 FTE)+€94k+€36k+€78k€9.4M
Mar 2027 → Mar 2028€9.4M−€720k (+13.6 FTE)+€4k+€10k+€8k€8.7M
Mar 2028 → Jan 2030€8.7M−€126k (+2.4 FTE)+€667+€700+€1k€8.6M

The scale does not start at zero, so that the differences show.

And on your roles?

In the delivered tool: each job description broken down line by line, internal mobility, the training plan, forms for your teams, exports and the summary for the executive committee.

Book 30 min · demo on your roles