Generic AI tools like ChatGPT are built for people sitting at desks with time to type a question and read a long response. Your tech is standing in front of a homeowner who just questioned the price. That's not a ChatGPT moment.
There are five real problems with using generic AI in the field:
It doesn't know the job. ChatGPT doesn't know what trade you're in, who your customer is, what the tech just found under the sink, or that this is a repeat caller who left a bad review last year. SayIt is built around your specific context.
Your tech can't use it mid-job. Try handing a tech a phone with a ChatGPT prompt while he's standing in front of an angry homeowner. SayIt is built for that moment — three quick questions, a direct answer, done in 20 seconds.
It'll say the wrong thing. Generic AI gives generic advice. It might tell your tech to "empathize and validate the customer's concern" — which is useless when the customer is demanding a refund. SayIt knows the specific plays that work in home service.
No guardrails for your business. ChatGPT doesn't know your pricing, your policies, or your brand. It might tell a tech to offer a discount you'd never approve. SayIt coaches within the boundaries you set.
It doesn't get better with your team. SayIt learns what scenarios your techs actually face. ChatGPT resets every conversation and has no idea what your team dealt with last Tuesday.
Ready to give your techs the backup they need?
SayIt is on-demand coaching built for the field. Try it with your team.
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