Can this jobbeautomated?

We use a multi-layer methodology that combines AI reasoning with real-time data. When you submit a role, team, or workflow, the system breaks down each task individually, cross-references it against current automation capability benchmarks, pulls live data on the relevant job category or business function, and applies a standardized scoring model built on hundreds of work archetypes. The result is a report specific to that work, not a generic guess.

The system uses a combination of up-to-date labor market statistics, industry automation indices, real-time searches on relevant tooling and sector trends, and proprietary benchmarks derived from analyzing thousands of roles, team workflows, and repeatable business functions. Data is not static. It reflects what is actually automatable today, not two years ago.

The model uses the salary range you select — or an AI-estimated salary when skipped — to derive a country-specific fully-loaded cost using a fixed employer-burden multiplier. It then calculates the potential annual value of automation: for individual roles, that is the salary baseline multiplied by the automation fraction; for departments, a 70% realization rate is applied to account for reclassification, QA oversight, and change management. Savings, ROI, and payback are modelled month by month over 36 months on a non-linear adoption ramp — not a flat rate. Only ~20% of the theoretical productivity gain is realised in months 1–6 as teams adapt; this rises to ~50% at month 12 and ~80% at month 24. Year-1 ROI is the sum of those ramped monthly net positions. Payback is the first month the cumulative net position turns positive. The ramp is deliberately conservative — in practice, well-scoped projects often reach productivity faster. These are directional estimates grounded in a consistent model, not rough approximations or guarantees.

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, support team, or customer-care workflow in a highly digitized sector scores differently than the same work 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, team, or workflow could still be partially optimized, and where to focus if you want to make the work more efficient without replacing people. Not everything should be automated, and knowing that early saves time and money.

The information you provide through the guided wizard — role, team, or workflow 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.