BOTSCOUT / DECISION LAB

Find the value.
Test the assumptions.

Turn an interesting AI workflow into a decision you can explain. Model the workload, inspect the evidence, and leave with a small test to run.

A case for your next pilot.

Workload → trade-offs → evidence → test

How the model works ↓

Your starting point

Example numbers are prefilled. Replace them with your own estimates; these are not vendor prices or measured results.

Project to evaluate Where will you test?Selecting production does not authorize a live deployment.

Current manual work

Tasks per monthNumber of tasks you might attempt to automate.Manual minutes per taskCurrent end-to-end time for one task.Value of an hour (USD)A planning value for staff time, in US dollars.

Proposed workflow

Expected accepted results (%)Share meeting your quality rule without full manual fallback.Review minutes per attemptAverage review and correction time on every attempt.Usage cost per attempt (USD)Model, API, and other usage charges per attempt.Monthly tools and hosting (USD)Subscriptions, hosting, and recurring cash costs.

One-time setup

One-time setup hoursBuild, configuration, and initial training time.One-time setup spend (USD)Additional one-time cash costs; exclude staff time.

Calculate sends these numbers and the project choice to BotScout for this response. They are not saved in the application or placed in a share URL. Use nonconfidential estimates.

02 / YOUR DECISION BRIEF

A useful answer includes
the unknowns.

↗

What could change?

Capacity value, tool spend, setup recovery, and a downside scenario.

◎

What supports the idea?

Published reports and the measurements still missing for this project.

✓

What should you test?

A repeatable 20-case pilot protocol and a blank measurement worksheet.

No account needed. No results are invented when evidence is missing.

METHOD 1.0.0 / INSPECT THE ASSUMPTIONS

Every failed attempt still counts.

Time and cost

Every attempt incurs usage cost and human review. An unaccepted result also incurs the full manual task. Released hours are valued at your hourly input, then tool costs are deducted. Setup includes cash and valued staff time.

Sensitivity, not certainty

Downside: acceptance falls 20 percentage points and review takes 50% longer. Upside: acceptance rises 10 points and review is 25% faster. Acceptance stays between 0% and 100%. These are scenarios, not statistical intervals.

Evidence stays separate

We inspect up to 20 latest published reports for the selected project. Environment, age, cost, and review-time coverage remain visible. We never pool unlike tests or turn sponsorship into a quality score.

Released time may be useful capacity without reducing payroll. Retries, maintenance, and unentered costs are excluded. A favorable estimate is a reason to investigate, not a promise of savings.

Find the value.Test the assumptions.