Don't buy the product before defining the job
If your problem is a messy handover, an AI subscription may be less useful than an agreed checklist. If you need an automatic reminder when an invoice is overdue, a rules-based feature in your existing accounting software may be enough. If you need help preparing first drafts or comparing written options, a general-purpose AI assistant may fit.
Think in tool categories, not hype-driven rankings:
| Need | First category to evaluate | Important test |
|---|---|---|
| Draft and edit writing | General AI assistant or existing productivity suite | Accuracy and human review time |
| Summarise meetings | Approved transcription or note-taking tool | Consent, recording rules and corrections |
| Handle repeated support questions | Knowledge-base or customer-service tool | Escalation and wrong-answer handling |
| Organise predictable actions | Rules-based workflow automation | Reliability and auditability |
| Analyse permitted data | Spreadsheet or approved analytics assistant | Calculation checks and data access |
| Carry out actions across systems | Supervised AI agent | Permissions and approval gates |
Five selection tests
- Problem fit: Does it perform the actual job, or just produce an attractive demo?
- Privacy and security: What data does it receive, retain, share or use for model improvement? Can your business control access?
- Quality: Does it behave reliably on realistic cases, including unusual and incomplete ones?
- Total cost: Include subscriptions, setup, integration, training, human checking and error correction.
- Exit plan: Can you retrieve your work and switch tools without disrupting customers?
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Specific features, prices and data policies change. Check each provider's current official documentation and contract before choosing a product. Brand names alone do not prove suitability.
Worked example: three choices for a trade business
Fictional example. A plumbing business wants fewer missed enquiries. It considers a new AI receptionist, a simple missed-call notification and a shared responsibility roster.
A review finds that calls are missed primarily because no one is assigned to call customers back. The owner tests an agreed callback owner and a notification first. Only if missed enquiries remain a material problem does the business trial the AI product, with scripted boundaries and human escalation.
The cheaper solution may win. That's a better outcome than purchasing software to solve a problem that was mostly about ownership.
Questions to ask in a demo
Ask the provider to show a wrong or incomplete case, not only its prepared success example. Ask what happens when the system is unavailable, when a customer disputes a response and when you cancel. Request current prices and applicable security documentation. If the answers are vague, don't treat the demo as a completed risk assessment.
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Lesson: Best AI Tools for Small Business: What Do You Actually Need?. Please do not include confidential client, financial, health or staff information.
Questions this lesson answers
Is free AI good enough for a small business?
For some low-risk drafting and learning tasks, perhaps. Check usage limits, terms, data controls and the quality of results before relying on it for business information.
Should a business buy an AI tool or build its own?
Most beginners should first test existing tools or improve the process. Custom development adds security, testing, maintenance and ongoing support obligations.
Work out where your business is getting stuck
The free Growth Diagnostic asks ten questions across acquisition, conversion, relationships, delivery and commercial control. It gives you an area to investigate and three things you can do next.
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