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SaaS vendors keep pitching our leadership team on expensive AI add-ons promising massive productivity gains. How do we run a structured 30-day proof of concept before locking ourselves into an annual contract?

Never sign an annual software agreement based on a vendor sales demonstration. Vendor demos run on perfectly formatted synthetic data inside an environment built to hide product weaknesses. In real operational environments, messy files, unexpected inputs, and unique edge cases quickly break fragile software.

When a department head brings a proposed AI tool to your Level 10 Meeting during IDS, enforce a mandatory thirty-day proof of concept before committing company capital. Insist on month-to-month billing or a paid trial period.

Before turning the tool on, document baseline operational metrics for the specific process being tested:
- Measure exact cycle time: how many hours does the team currently spend completing this manual workflow?
- Measure baseline error rates: how often do human errors require rework or management intervention?
- Measure software cost: what is the true per-seat monthly cost once full deployment occurs?

Isolate the pilot to a single coordinator or field team. Feed the tool messy, historical production data from your actual operations, not clean vendor templates. Test how the software handles ambiguous inputs, missing fields, and non-standard documents.

At day twenty-five, evaluate the hard numbers against your baseline. Did the tool tangibly cut cycle times without creating a secondary verification bottleneck? Did the employee running the seat find the software intuitive, or did they spend hours fixing bad machine outputs? If the tool does not prove measurable operational leverage within thirty days, reject the pitch and keep your software stack lean.

Category: AI-Powered Operations

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