AI Automation for Small Business Workflows by Josef ShohetAI Automation for Small Business Workflows by Josef Shohet
AI Automation for Small Business WorkflowsJosef Shohet
Cover image for AI Automation for Small Business Workflows
If your team is spending time on something repetitive — writing the same report every week, manually reviewing numbers to spot problems, drafting the same communications over and over — that's a candidate for automation. This service identifies one of those processes and builds an AI layer that handles it, tuned to your specific business context.
I've built this kind of thing into StoreOps: automatic drift detection that tells managers exactly what's slipping and why, ordering recommendations based on actual usage, weekly ops reports generated from raw numbers. The same approach works for any business with a repetitive analysis or writing task that follows a pattern.
What's included:
Discovery call to map the process and define what good output looks like
AI feature built and integrated into your existing workflow or a simple new interface
Prompt engineering specific to your business — not generic outputs
One round of revisions after you've tested it with real data
Handoff with documentation
Contact for pricing
Duration1 week
Tags
Claude
Workflow
AI
Operations Lead
Small Business
Service provided by
Josef Shohet Fall River, USA
AI Automation for Small Business WorkflowsJosef Shohet
Contact for pricing
Duration1 week
Tags
Claude
Workflow
AI
Operations Lead
Small Business
Cover image for AI Automation for Small Business Workflows
If your team is spending time on something repetitive — writing the same report every week, manually reviewing numbers to spot problems, drafting the same communications over and over — that's a candidate for automation. This service identifies one of those processes and builds an AI layer that handles it, tuned to your specific business context.
I've built this kind of thing into StoreOps: automatic drift detection that tells managers exactly what's slipping and why, ordering recommendations based on actual usage, weekly ops reports generated from raw numbers. The same approach works for any business with a repetitive analysis or writing task that follows a pattern.
What's included:
Discovery call to map the process and define what good output looks like
AI feature built and integrated into your existing workflow or a simple new interface
Prompt engineering specific to your business — not generic outputs
One round of revisions after you've tested it with real data
Handoff with documentation
Contact for pricing