FAQs

What is Artificial Intelligence (AI)?

AI is technology that enables machines to perform tasks that normally require human intelligence, such as analyzing data, recognizing patterns, understanding language, and making decisions. In business, AI is often used to automate repetitive processes, enhance customer experiences, and improve decision-making with data-driven insights.

What’s the difference between AI, machine learning, and deep learning?

- AI is the broad field of creating intelligent systems.
- Machine Learning (ML) is a subset of AI that uses data and algorithms to “learn” patterns and improve over time.
- Deep Learning is a specialized type of ML that uses neural networks to process complex data like images, speech, and text.

What is Generative AI and how is it different from traditional AI?

Generative AI refers to models (like ChatGPT or image generators) that can create new content—such as text, code, or images—rather than just analyzing data. Traditional AI usually focuses on classification, prediction, or automation, whereas Generative AI helps with ideation, summarization, and content generation.

Do I need a lot of data to use AI in my business?

Not always. While large datasets are useful for training models from scratch, many modern AI systems can be fine-tuned with smaller datasets or connected to your internal knowledge base using techniques like RAG (Retrieval-Augmented Generation). This means you can get value from AI even if you don’t have “big data.”

How can AI benefit my business specifically?

AI can:
- Automate repetitive tasks (saving time and cost).
- Improve decision-making with predictive analytics.
- Enhance customer service through chatbots and virtual assistants.
- Streamline workflows by integrating with tools like Microsoft Power Apps, CRM, or ERP systems.
- Unlock insights from unstructured data such as documents, emails, and reports.

Can AI integrate with my existing software and systems?

Yes. AI can be connected to tools you already use, including CRMs (Salesforce, Dynamics), ERPs, Power Apps, and custom applications. APIs and connectors make it possible to embed AI into your existing workflows without having to replace your current systems.

What is RAG (Retrieval-Augmented Generation) and how can it help my organization?

RAG is a technique that combines AI language models with your company’s own data sources. Instead of relying on the AI’s “general knowledge,” it retrieves information from your documents, databases, or SharePoint before generating an answer. This makes AI far more accurate, relevant, and secure for enterprise use.

Is AI safe to use? What about bias and data privacy?

AI is safe when implemented responsibly. We follow best practices to:
- Keep your data secure (no unauthorized data sharing).
- Use transparent, explainable models where possible.
- Reduce bias by carefully curating and monitoring training data.
- Ensure compliance with GDPR, HIPAA, and other regulations as required.

Will AI replace jobs in my company?

AI is best viewed as a tool that augments people rather than replaces them. It can handle repetitive or manual tasks, freeing your team to focus on higher-value work like strategy, creativity, and customer relationships. In practice, businesses see AI as a productivity multiplier, not a replacement for human talent.

How do we get started with AI?

We usually recommend a phased approach:
1. Identify high-value use cases in your business.
2. Start with a small proof of concept (POC).
3. Scale gradually to integrate AI across departments.
We guide you through each step—from identifying opportunities, to building the solution, to training your team.