Can this job
be done by
artificial intelligence?
Answer a few guided questions about any role. We'll analyze which tasks AI could take on — with a detailed score and financial breakdown, free in about a minute.
How it works
Three steps to clarity
Answer guided questions
Select the role type, sector, country, and key tasks — no blank-page writing required. The wizard takes about 2 minutes.
The report
What you'll get
AI-Readiness Score
Use cases
See it in action
Data Entry Operator
90%Germany
AI readiness
Gross annual salary
€36,000
Estimated Savings / year
€34,728
Payback
3 mo
OCR and workflow automation extract, validate, and route structured data end-to-end with minimal human intervention. The human role shifts from keystroke repetition to quality auditing, exception handling, and continuous process improvement.
Our approach
Understanding AI, not replacing people
AI handles
- Repetitive processing
- Pattern recognition
- Consistent execution
- Speed at scale
You focus on
- Contextual judgment
- Relationship building
- Creative strategy
- Ethical oversight
An exploration tool, not a replacement plan.
Who is this for
Built for the curious
Professionals exploring their field
Map which tasks in your role AI could take over — and where your judgment and expertise stay irreplaceable.
Leaders planning ahead
Ground workforce decisions in role-level data — reskilling, hiring priorities, and team evolution backed by evidence.
Consultants building business cases
Generate AI-readiness reports with financial projections — credible, detailed, and ready to share with any client.
FAQ
Common questions
We use a multi-layer methodology that combines AI reasoning with real-time data. When you submit a role, the system breaks down each task individually, cross-references it against current automation capability benchmarks, pulls live data on that job category from labor market databases, and applies a standardized scoring model built on hundreds of role archetypes. The result is a report specific to that role, not a generic guess.
The system uses a combination of up-to-date labor market statistics, industry automation indices, real-time searches on role-specific tooling and sector trends, and proprietary benchmarks derived from analyzing thousands of job descriptions. Data is not static. It reflects what is actually automatable today, not two years ago.
The financial model uses the salary range you select — or an AI-estimated salary when skipped — to derive a country-specific current cost using a fixed employer-burden multiplier. ROI, payback period and savings figures then combine that deterministic current-cost baseline with standard automation cost benchmarks by industry and tool category. They are estimates, not guarantees, but they are grounded in a consistent financial model rather than rough approximations.
Yes. The analysis factors in sector-specific automation maturity, local labor market conditions, and the availability of tools relevant to that industry. A data entry role in a highly digitized sector scores differently than the same title in a fragmented, paper-heavy industry.
A low score is valuable information too. It tells you which tasks are genuinely human-dependent and why, which parts of the role could still be partially optimized, and where to focus if you want to make the role more efficient without replacing it. Not every role should be automated, and knowing that early saves time and money.
The information you provide through the guided wizard — role details, tasks, and the optional salary range — is used exclusively to generate your report and is not stored, sold, or used to train any model. You do not need to create an account or provide any personal information.
About a minute. The system runs task decomposition, data retrieval, scoring, financial modelling and report generation in a single pass.
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