AI

Our approach to Al

It's our belief that successful adoption of Al requires a strong data and cybersecurity strategy, coupled with a cautious, step-by-step approach.

We advocate testing Al internally, prioritising careful deployment and data security over rushing to market.

To support our stance, we live by five principles:

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  1. Data and Cybersecurity First: Prioritise data strategy and cybersecurity before pursuing Al.
  2. Crawl, Walk, Run: Avoid rushing Al projects-progress gradually to prevent costly mistakes.
  3. Stick to Core Strengths: Innovate without rebranding existing technology as Al.
  4. Leverage Proven Automation: Use established automation tools instead of costly, unproven Al for certain tasks.
  5. Continuous Learning: Test and refine Al internally before client implementation, ensuring the technology is reliable and secure.

These principles emphasize caution, strategy, and data protection in Al adoption, keeping ourselves secure and our Clients safe along the way.

Our CEO discusses this approach in detail here.