AI for your business
Decide about AI with clarity, not hype
Before you buy anything, it helps to know whether AI is even the right answer. Haryts helps you find where AI could create real value, understand the risks, and measure whether an implementation actually pays off — and we'll tell you honestly when a simpler fix would serve you better.
The questions you're already asking
Start where the decision really starts
Should my business adopt AI?
Understand where AI could create value, which problems are worth solving, and when a simpler solution would serve you better.
Where can AI help my employees?
Practical use cases: answering routine questions, finding procedures, preparing maintenance work, and cutting the time spent searching for information.
Will AI actually improve profitability?
How to weigh implementation and oversight costs against time saved, service quality and operational efficiency — and judge the real return.
Is AI safe for my company's information?
Privacy, access permissions, sensitive information, inaccurate answers, accountability, and meaningful human oversight.
The method
The Haryts AI Decision Framework
Five questions to evaluate an AI opportunity before committing resources.
- 1
Business problem
What specific problem are we trying to solve, and how does it affect our employees, customers, costs or operations?
- 2
Value creation
What benefits could AI provide compared with existing processes or simpler alternatives — and how will we measure them?
- 3
Risk and governance
What could go wrong, who could be affected, and what safeguards, responsibilities and controls are required?
- 4
Human–AI collaboration
Which tasks can AI support, and which decisions require employee expertise, managerial authority, or human approval?
- 5
Implementation and evaluation
Do we have the data, skills and processes? What evidence will tell us to proceed, adjust, or stop?
We won't recommend AI for every problem
Sometimes the right first step is better documentation, a simpler workflow, or fixing a data problem — not an AI project. When that's the case, we'll say so. Advice you can trust is advice that sometimes says "not yet."
FAQ
Straight answers to common questions
Is AI right for my small business?
Start with a real business problem, not the technology. AI tends to help when a task is frequent, costly, and depends on knowledge that already exists in your documents and records. If your bottleneck is thin documentation or a broken workflow, fixing that first is usually the better investment — and we'll tell you.
What can AI realistically do for us?
In practice: answer routine questions from your own procedures and records, help people find information quickly, and support preparation of work like maintenance tasks, reviews and reports. It assists expert work; it doesn't do the judgment for you.
How much does AI implementation cost?
Budget for more than a licence: connecting your sources, ongoing maintenance, human oversight, and some employee training and change management. A scoped pilot keeps the first cost small and the learning fast.
How can I measure ROI?
Set a baseline before you start — time to find an answer, rework, response time — agree the metrics that matter, then compare after. Weigh realized benefits against implementation and oversight costs, and don't treat labour-cost reduction alone as proof of value.
Can AI use our internal documents?
Yes. A knowledge assistant retrieves from your approved company sources and cites the specific documents behind each answer, so your team can verify where it came from.
Can AI give wrong answers?
Yes — any AI can. The safeguards that matter are grounding answers in your sources, citing them, refusing when the evidence isn't there rather than guessing, and routing uncertain or high-risk answers to a person. Expect limitations, and design oversight for them.
Is our company data protected?
It should be. Look for access controls, data boundaries between your workspace and others, clear retention, and a deployment that fits your sensitivity — up to keeping processing inside your own environment.
Will AI replace our employees?
No. The aim is to take routine questions and searching off their plate and help them prepare work, so they spend more time on judgment. People keep responsibility and the final decision.
How do we start without taking a big risk?
A limited pilot: one clearly defined problem, a baseline, defined success criteria, safeguards and human oversight from the start — and explicit stop conditions.
How do we know whether to continue?
Evidence: measured business value against your baseline, reliability of answers, real adoption by the team, risks observed, and the impact on customers. If the evidence isn't there, adjust or stop.
Not sure if AI fits your problem?
Bring us a real operational problem. We'll help you frame it against the five questions, judge whether it's a good fit for AI, and define what a low-risk pilot should test — or point you to a simpler fix.