How ready is your team to put AI to work?

Ten questions, about ten minutes. You will get a personalized score, three specific recommendations, and the option to email the results to yourself.

Your answers are private. We do not sell or share them.
No credit card. No sales call required.
Built by Harpeth Labs in Franklin, TN.

A bit about you

We need a way to send you your results.

Full name *Work email *Company name *Your role (optional)Company size (optional)

The ten questions

Answer honestly. There are no right answers, only useful ones.

Q1.Which best describes how your team uses AI tools today?

Not at allA few people are experimenting on their ownMost of the team uses something informallyWe have official tools and shared processes

Q2.How many hours per week does a typical person on your team spend on repetitive work like data entry, copy and paste between systems, formatting reports, or chasing approvals?

Less than 5 hours5 to 10 hours10 to 20 hoursMore than 20 hours

Q3.Are your most repetitive workflows documented anywhere a new hire could follow?

No documentation, it lives in people's headsSome informal notesMost workflows have a written SOPFully documented and kept current

Q4.How does your team typically respond to new tools?

Resistant, it takes a lot to get adoptionCautious but willing once they see it workCurious and openActively asking for better tools

Q5.Who decides whether to adopt new software at your company?

I do, personallyA small leadership teamA formal procurement or IT processEach team picks its own

Q6.What is the single biggest bottleneck in your operations right now?

Manual data entry and copy-paste workCustomer response timeReporting, dashboards, and getting answers from dataHiring, onboarding, or training

Q7.How clean and accessible is your customer and operational data?

Scattered across files, inboxes, and people's headsIn a CRM or system but messyReasonably organized, with some gapsClean, structured, and easy to query

Q8.What is leadership's current stance on AI?

Skeptical, or actively cautiousCurious but unsure where to startSupportive and willing to fund a pilotActively pushing the team to adopt

Q9.What is your team's biggest concern about adopting AI?

They worry about job lossThey worry about quality and accuracyThey worry about cost or complexityNo real concerns, they want to move

Q10.If you could give every person on your team five hours back each week, where would those hours go?

More volume of the same workCustomer-facing work and relationshipsStrategy, planning, and improvement projectsTraining, development, and rest