New AI tools come out every week, but when you try to apply them to your own company, it's hard to know where to begin. This post sums up how SOL LABS answers the question we hear most in consultations: "Where should we use AI so it actually pays off?"
1. Start with repetitive work
The first thing we look for is work done the same way every day or every week: writing up meeting notes, drafting quotes, first replies to customer inquiries, reviewing contracts. The more repetitive the work, the clearer the pattern for AI to learn — and the easier it is to calculate the time saved.
- Creating documents in the same format again and again
- Answering the same questions repeatedly
- Gathering and summarizing material from several sources
2. Where the data already exists
AI shines when your company already has material to work with. If past contracts, consultation records, manuals or sales data are organized, that's a great starting point. If they're scattered, we start by organizing them together.
If company data can't leave your network, AI can run on your own servers. Document search and business agents can operate entirely inside the company. (Read about on-premise AI)
3. Keep humans where judgment matters
The goal isn't to hand everything to AI. A setup where AI drafts and people review delivers results fastest. We design it so people stay in control of the steps that need a final decision.
4. Validate small, then scale
Rather than building a big system up front, we recommend turning one high-impact feature into a prototype and using it in real work. Once you're confident, expand the scope.
When choosing candidates, writing down these three things together quickly settles the order.
| Question | Why it matters |
|---|---|
| How often is this done each month? | The more often, the more time you save |
| Is there reference material already? | Existing material raises accuracy quickly |
| How costly is a mistake? | If high, always add a human review step |
In a one-hour AX consultation we map AI candidates and similar cases for you.
We build web apps, mobile apps and business systems, then add and run the AI they need. We build and operate our own meeting notes, contract and company analysis AI.
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