AI has advanced rapidly.
But how do you implement AI in your business to stay competitive, impress investors, and boost productivity?
It’s simpler than you think. Follow our three-step guide to start using AI effectively today.
3 steps to start with AI
At BRACAI, we make things simple. Here’s a three-step guide to help you start using AI:
Explore AI use cases
Develop an AI strategy
Implement and iterate
Let’s break it down.
Step 1: Explore AI use cases
Implementing AI into your business starts with identifying where it can add the most value.
Start with an AI readiness assessment to uncover areas with the highest potential. Look for opportunities where AI can solve real problems—whether it’s automating routine tasks, improving customer service, or analyzing data faster. Keep it practical and focused.
At BRACAI, we recommend keeping things simple: find a few high-impact opportunities rather than trying to tackle everything at once.
By the end of this step, you should have a clear list of actionable AI ideas for your business. This is your foundation for success.
Step 2: Develop an AI strategy
Once you’ve identified AI use cases, it’s time to turn them into a clear, actionable strategy.
Start by aligning these opportunities with your company’s resources. Decide which AI initiatives to prioritize and why. Evaluate each project’s potential to drive growth or productivity, and weigh this against the investment required to ensure a strong ROI.
Keep the process simple. Focus on identifying high-impact projects without getting bogged down in lengthy analysis. A well-thought-out but efficient approach works best.
By the end of this step, you should have a roadmap that outlines your key AI initiatives, timelines, and resources. This roadmap will guide you through implementation, setting you up for success in Step 3.
Step 3: Implement and iterate
Now that you have your AI roadmap, it’s time to bring it to life. But sending out a memo or hosting a long online training session won’t cut it.
You can do much more to make this process effective.
This step addresses critical questions: How do you onboard your team effectively? How do you ensure processes improve over time? And who is responsible for what?
AI onboarding training sessions
Effective onboarding is key to making AI work. But not all training sessions are created equal.
Some common pitfalls that we see a lot:
Too dense seminars. These often bore participants and fail to engage
Online sessions. People tend to multitask or lose focus
Sessions may be too generic or overly technical
How to improve:
Conduct in-person training sessions tailored to your roadmap
Record sessions for easy future access. Keep them concise and clear
Train key team members directly managing AI use cases. If roles aren’t clear, revisit Step 2
In-person sessions encourage interaction and questions, making them more effective. While remote work is valuable, face-to-face training builds better engagement and ensures understanding.
SOPs and AI guidelines
SOPs help execute the AI use cases from Step 1 and the roadmap from Step 2.
Some best practices we recommend:
Keep it simple: Long, complex SOPs are ignored. Stick to clear, concise documents
Enable iteration: Use dynamic tools so SOPs can evolve as processes improve
Assign ownership: Each AI use case manager should maintain and update their SOPs based on real performance
If this sounds straightforward, it’s because it is. But company documentation is often messy, so keeping it simple and organized is key.
A one-pager with AI guidelines is also essential. These guidelines should include what’s legal and what’s not at your company. They should be short and clear, providing recommendations on how staff should—and shouldn’t—use AI. Without clear guidance, employees may misuse AI, increasing risks such as data leakage.
But be careful: simply forbidding everything can cause your company to fall behind competitors. Strike a balance that enables innovation while managing risks.
Conclusion: How to implement AI in your business
Getting started with AI doesn’t have to be complicated. With our simple three-step approach, you now have a clear roadmap to explore use cases, develop a strategy, and implement AI in your business.
Remember, the key is to start small, focus on real value, and build from there. Taking the first step today can put your business ahead of the curve tomorrow.
If you’d like expert guidance or support at any stage, we’re here to help. Just drop us an email, and we’ll be happy to assist you in making AI work for your business.
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