AI for Small Business: What Actually Works (And What's Just Hype)
Every week, a business owner asks us: "Should I be doing something with AI?" The answer is usually "it depends" — but let's make that more useful.
What AI Is Actually Good At (Today)
1. Text Processing
Summarizing documents, answering questions about your files, generating draft content, translating. This is where AI shines for small businesses.
Real example: We built internal chatbots for companies that answer employee questions by searching through company documentation. Instead of emailing HR or hunting through folders, people ask the bot.
2. Classification
Sorting emails, categorizing support tickets, flagging anomalies in data. AI is excellent at "put this thing in the right bucket" tasks.
Real example at scale: We built a deep neural network that has been automatically categorising millions of job adverts on the UK Government's official employment platform (Find a Job) for over 6 years. Still running in production today — classifying at a scale no human team could match.
3. Computer Vision (Specific Use Cases)
This requires more investment, but for the right application, it's powerful. Retail analytics, quality inspection, security monitoring.
Real example: Our PlayFront product uses AI gesture recognition for interactive store displays. Customers interact with products without touching screens.
What's Mostly Hype (For Now)
1. "AI Will Run Your Business"
Not yet. AI tools augment human work; they don't replace judgment. Anyone selling "set it and forget it" AI for critical business decisions is overpromising.
2. Custom Training for Small Data
Training AI models requires lots of data. If you have 100 customer emails, you can't train a useful model. Use pre-built tools instead.
3. AI for Everything
Sometimes a simple rule-based system outperforms AI at a fraction of the cost. Not every problem needs machine learning.
Practical Starting Points
- Document Q&A: Upload your policies, procedures, and manuals to a tool like ChatGPT or build a custom solution. Let employees ask questions.
- Email/Support Triage: Automatically categorize incoming messages and route them appropriately.
- Content Drafting: Use AI to generate first drafts of repetitive content — product descriptions, email templates, reports.
- Data Extraction: Pull structured information from unstructured documents (invoices, contracts, forms).
How to Evaluate AI Opportunities
Ask these questions:
- What's the manual version of this task?
- How much time does it take today?
- What's the cost of errors?
- Is there enough data to make AI work?
If the manual task is expensive and error-prone, and you have reasonable data, AI might help. If it's a once-a-month task that takes 20 minutes, don't bother.
Our Approach
We specialize in text and vision AI — areas where we've delivered real results. We won't pitch you AI solutions for problems that don't need AI. Sometimes the answer is "use this existing tool" or "just automate this with simple rules."
Curious whether AI makes sense for something in your business? We're happy to give an honest assessment — no sales pitch attached.