What is the difference between generic AI training and your coaching?

Generic training explains tools. My coaching starts with one repeated task and turns it into a workflow you can use, check, and adjust.

What if I forget everything after our session?

You leave with the workflow, the prompts, and the review steps. The point is not to remember a lecture. The point is to have a process you can reopen.

Will these skills transfer to my future roles?

Yes. We build around a real task, then name the logic behind it: context, constraints, review, and handoff. You can reuse that logic in future work.

Is it safe to use proprietary company data with AI tools?

We start with data caution. We review what should not be shared, which tools are approved, and where human review has to happen before anything moves forward.

How does this training fit with my company's existing policies?

The workflow has to fit the rules you already work under. If a policy limits what can be shared or automated, we design around that limit.

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Kiyan Sheikh.

Practical AI starts with the work people already do, the judgment they need to keep, and the workflows they can run after I leave.

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Qualifications & Experience

Click any area below to see the experience that shaped how I teach, guide, and structure this work.

Specialized AI Credentials

AI & Business Strategy

Focused on translating AI into results. I match tools with actual work processes so teams save hours and stay in control.

Harvard Business School OnlineAI for Leaders

UBC Extended LearningAI for Business Analysis

I learned this work in settings where quality, trust, and human judgment could not be skipped.

Why generic AI training gets ignored.

Generic Training

Broad advice gets ignored.

I watched teams adopt AI tools and host broad webinars. Once curiosity faded, employees returned to old habits. The tools sat unused because generic advice never reached the actual work people had to finish that week.

Real Tasks

Relevance starts with the task.

People do not need theoretical lectures or prompt directories. They need immediate relevance to see value. Learning sticks when the session uses the files, decisions, and bottleneck tasks already in front of them.

Co-created Workflows

The skill stays with the client.

We co-create prompt guides, review checkpoints, and reusable templates around real tasks. Practising the workflow and skill together builds independent habits, keeping you in control.

That is why every session starts with real tasks, review, and ownership—shaping how (re)think.ai teaches.