Every week there's a new AI tool that promises to save you ten hours. So you do what any careful owner does. You read reviews, book demos, start free trials, and try to fit it all in between client work.
That research feels free. It isn't.
Choosing software takes months, not afternoons
The numbers on software buying are humbling. In Capterra's 2024 Tech Trends Survey, companies took five months on average to evaluate software options and make a purchase decision (Capterra).
Small businesses aren't faster. Software Advice found that 76% of small and midsize businesses took three to nine months to go from evaluating software to buying it in 2022. The typical business compared about five providers along the way (Software Advice).
And buying is only half the job. A GetApp survey found that businesses spend around nine months finding and implementing new technology (GetApp).
For a 10-person firm, those months come out of the same few people who run sales, serve clients, and keep the lights on.
Months of research still lead to regret
You'd think all that research would lead to great choices. Often it doesn't.
- 58% of U.S. buyers regret at least one software purchase from the past 12 to 18 months (Capterra).
- 66% of businesses say, looking back, they could have chosen more appropriate software (GetApp).
There's a pattern in who gets it right. In Capterra's 2025 survey, most successful buyers (57%) wrapped up their evaluation in three months or less, while most regretful buyers (54%) took five months or more (Capterra).
Longer research doesn't produce better decisions. A clear starting point and a short list do.
AI makes the problem worse
Picking AI tools is harder than picking ordinary software. The market changes monthly. Features overlap. Many tools look identical in a demo and very different after a month of real use.
The question also isn't just "which tool?" It's:
- Which of your workflows is worth automating first?
- Can the tools you already pay for do it?
- If not, which new tool actually fits how your business runs?
- In what order should you roll it out so your team adopts it?
Without answers to the first and last questions, even a great tool ends up as one more unused login.
What to do instead
Skip the open-ended research phase. Start with an outside read on where AI pays off in your business, then compare only the tools that fit those specific workflows.
That's exactly what Full Signal's assessments do:
- The AI Assessment is a 45-minute interview. Within 48 hours you get a visual AI Assessment report: your quick wins, 3–7 recommended tools with cost, setup time, and hours saved, a 4-day plan, and the financial impact. (See a sample report.)
- The Signal Audit takes two weeks. We review the tools you have, compare them against better-fit options (including new ones), and hand you a tool recommendation and a 90-day roadmap your team can follow.
Instead of five months of demos, you get a short list and a plan. Then you spend your time on the part that actually pays off: using the tools.
Ready to skip the research? Book an AI Assessment, or ask a question first on a free Q&A call.