Making AI work for your business

AI for your business: where do you start?

Most businesses know AI should be on their radar. But knowing where to start, and what will actually make a difference, is a different matter.

You might be here because you're:

• Using AI tools day-to-day but not sure if you're getting the most from them
• Ready to integrate AI into your systems and processes but not sure how
• Looking to build something more advanced, with AI running parts of your operation automatically

Wherever you are, you're in the right place. We can help you work out what makes sense for your business and take the next step.

At Switchplane, we work with businesses at every stage of AI adoption. Here's how we think about it:

Stage one: Individualised AI

This is where most businesses are right now. Employees are using tools like ChatGPT, Copilot, or Claude to write emails, draft reports, and summarise documents. There are productivity gains, but they're hard to measure, knowledge is siloed, and there's little integration with your existing systems.

If this sounds familiar, the priority is getting the foundations right: an AI policy, paid subscriptions to keep your data safer, and staff training so everyone knows what they should and shouldn't be doing.

Stage two: Embedded AI

AI becomes part of how the business actually operates. It might be scoring leads in your CRM, summarising support tickets, or handling meeting notes and transcriptions. Productivity improvements become measurable, processes are better defined, and output is more consistent.

Getting here requires a review of your existing tools and systems, well-structured data, and ideally cloud-based infrastructure. Consolidating off-the-shelf systems into more tailored solutions makes a significant difference at this stage.

Stage three: AI-driven

AI stops assisting and starts running parts of the process itself: automated enquiry triage, optimised scheduling, KPI monitoring with suggested actions, agents that trigger workflows across systems. People move into oversight and strategy rather than task execution.

This requires a highly systemised, data-rich business. Effectively, you're building a digital twin of your operations.

What does this look like in practice?

Across industries, businesses are already using AI to:

• Answer customer queries automatically, using a chatbot trained on their own FAQs and knowledge base
• Improve sales and marketing targeting based on conversion data
• Detect defects on production lines using computer vision
• Identify fraud and anomalies in financial data
• Surface insights from clinical data in healthcare

The right application depends entirely on the problem you're trying to solve, not on the type of AI technology involved.

Not sure which stage you're at?

Whether you're just getting started or ready to move to the next level, we can help you work out where you are and what a practical next step looks like. Get in touch to arrange a consultation.