SERVICE — AI FOR SMALL BUSINESS

AI that fits your business, not a Fortune 500.

Enterprise AI advice is built for enterprise problems. If you’re a small business, most of what you’ll read online is useless at best and expensive at worst. This is different.

THE PROBLEM

Enterprise AI advice is the wrong advice for you.

Small businesses don’t need a transformation programme. They need to stop doing three things manually that a well-configured tool could handle in the background. They need to know which of the fifty AI tools they’ve seen advertised this month are actually worth the subscription fee.

I’m not going to sell you a roadmap. I’m going to tell you the two or three things that will actually make a difference for your specific business, and help you implement them properly.

5–10h

Hours/week most businesses reclaim

2–3

Tools is usually all you need

THE METHODOLOGY

Five steps that keep it practical.

01

Find the Quick Wins First

Before anything else, we identify the tasks you’re doing every day that are genuinely automatable right now — scheduling, email drafting, data entry, research summaries.

02

Map the Repeating Workflows

The workflows that run on a schedule or get triggered by the same events are the ones worth automating properly. We document exactly how they work before touching anything.

03

Set It Up So It Stays Set Up

A tool that requires constant maintenance defeats the purpose. Every automation is built to run reliably without babysitting — with clear alerts when something needs human attention.

04

Pick the Right Tools

Two or three tools that actually solve your problems are better than a subscription to everything. We tell you what’s worth paying for and what isn’t.

05

Measure What Actually Changed

Not prompts sent or AI sessions logged — real metrics. Time saved per week, tasks that no longer require manual handling, response times, error rates.

What goes wrong when small businesses try AI on their own.

Buying enterprise tools for small business problems

Enterprise tools come with enterprise complexity — admin overhead, compliance requirements, and pricing built for teams of fifty.

Chasing the latest model

The newest model is rarely the right answer. The right answer is a properly configured tool that fits your workflow.

Automating a broken process

If the manual version of a workflow is inefficient, automating it makes those problems faster and harder to spot. Fix the process first.

No baseline, no measurement

If you don’t know how long something takes now, you can’t know whether AI is helping.

Trying to change everything at once

Three things working properly beats twelve things half-implemented. Start small, verify it works, then expand.

Deliverables

  • Opportunity assessment — A prioritised list of where AI is and isn’t worth investing in your specific business
  • Tool recommendations — The two or three tools that fit your workflow and budget, with an honest view of what each one does and doesn’t do well
  • Automation setup — Working automations for the highest-value workflows, tested and handed over to you
  • Team SOPs — Simple, clear documentation for how to use each tool — written for the people who will actually use it
  • Measurement framework — The metrics that will tell you whether each change is working, and how to track them without adding overhead
  • 90-day check-in — A follow-up review to see what’s working, what isn’t, and whether anything needs adjusting

sarolta

Let's figure out where AI
actually helps you.

Tell us what your business does and where you spend the most time on things that feel manual or repetitive. You’ll get an honest picture of what AI can and can’t do for you.