Practical AI guidance for small businesses

Use AI in your business safely

AI is becoming part of everyday work. The challenge is introducing it in a way that protects your data, your reputation, and your clients.

I help small businesses introduce AI safely with clear guidance and practical guardrails.

Built on experience in clinical research, data governance, and technology implementation.

Plain English advice. No technical knowledge required.

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Kim Stevens

Practical guidance | Data protection aware | Built for small businesses

The CLEAR Framework

A practical roadmap for responsible AI.

C – Clarify your AI goals

Understand where AI can genuinely help your business.

L – Locate your data risks

Identify where sensitive or client data might interact with AI tools.

E – Establish clear rules

Create simple guardrails so teams know how AI should be used.

A – Anchor responsible use

Embed good practice into everyday workflows so AI use stays consistent.

R – Review and evolve

AI tools change quickly. Review how they’re used and adapt when needed.

You don’t need a compliance team to use AI responsibly.

You just need the right structure.

The CLEAR Framework helps small businesses introduce AI safely by understanding where it is used, identifying potential risks, and putting practical guardrails in place so teams can use AI confidently.

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Who is this for?

The CLEAR Framework is designed for small businesses that are beginning to explore AI and want to do it properly from the start.

Curious Experimenters

You may be using AI tools casually and trying out them in out to see what works for you

Efficiency Seekers

You may have started using AI to save time or reduce costs

Risk-Aware Businesses

You may already suspect that AI could create a compliance or reputation risk

About Kim Stevens

I’m Kim Stevens, a project manager with experience delivering complex projects in clinical research and regulated environments.

My background in biomolecular science and systems-focused project delivery has shaped the analytical approach I bring to new technologies like AI by focusing on understanding how tools interact with data, workflows, and real-world business processes.

I created the CLEAR Framework to help small businesses introduce AI in a way that is structured, practical, and proportionate.

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Experience and perspective

Before focusing on AI adoption, I spent several years managing complex projects in clinical research and regulated environments.

I also have experience in the evaluation and rollout of AI tools in a professional workplace, including supporting teams in understanding how tools such as Microsoft Copilot can be used responsibly and effectively.

That experience reinforced something important: introducing AI successfully is rarely about the technology itself. It’s about understanding workflows, data, and the expectations around how tools should be used.

The same structured approach now shapes how I help businesses introduce AI by focusing on practical guardrails, clear workflows, and proportionate governance.

The aim isn’t to slow innovation down.
It’s to help businesses use AI confidently while protecting clients, data, and reputation.

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