Automation or AI project viability

Decision context

Which use case or process do you want to assess? *

Describe one consistent scope, without client names or confidential data.

Who will own the decision and validate the assumptions? (Optional)

A role is enough; a person name is not required.

When must the decision be made? *

Within 30 daysActive decision: assumptions should be checked quickly.Within 31 to 90 daysA window compatible with a short diagnostic if scope is ready.Within 3 to 6 monthsThe topic can be scoped without promising an immediate start.Beyond 6 months or undefinedThe result will mainly help qualify assumptions.

Required field

Volumes and costs

How many similar tasks are processed per month? *

A rough estimate is enough: tickets, cases, requests, documents, processed lines…

How many minutes does one task take today? *

Use the full current time, including search, coordination and usual rework.

Which full hourly cost should be used for the estimate? (€) *

Include loaded salary, management, tools and indirect costs if known.

What share of current effort could be AI-assisted? (%) *

Estimate the share of tasks or time that can be assisted, not jobs removed.

What share of assisted outputs must be human-reviewed? (%) *

Enter 100% if every output requires review; the calculation then retains a validation cost.

What share of users will actually adopt the solution in year one? (%) *

Use a conservative assumption, separate from the technically automatable share.

How many months before reaching target usage? *

Include pilot, training, progressive rollout and confidence ramp-up.

What initial setup cost do you estimate? (€) *

Include scoping, integration, data preparation, security, testing and go-live.

What annual change-management and control cost should be expected? (€) *

Training, documentation, steering, quality control and validation time.

What monthly operating cost is expected, excluding AI licenses? (€) *

Hosting, maintenance, support, monitoring and operations; do not recount licenses entered next.

What monthly AI license, model or usage cost should be added? (€) *

User licenses, API calls, models, connectors or tools directly related to the use case.

What annual value should be assigned to quality gains, if quantifiable? (€) (Optional)

Avoid recounting time already valued: include only avoided errors, protected revenue or distinct measurable quality gains.

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You can generate the diagnostic anonymously. Contact details are only retained if you request email delivery or a conversation with BRAINYTECH.

Name

Organization

Role

Phone

Source

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This diagnostic is indicative. It does not replace a full audit. It is used to identify a first orientation and whether deeper scoping is useful.

Decision context

Volumes and costs

Risks and confidence

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