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From Process to Personal: Financial Independence is Using AI to Transform Client Engagement

Generative AI in Enterprises: Adoption vs. Compliance Risks

Governance

April 20256 min read

Generative AI in Enterprises: Adoption vs. Compliance Risks

The increasing adoption of generative AI in enterprises brings real benefits — and real compliance challenges. Here is how to balance both.

The Perils of Learning on the Fly: Why DIY AI Solutions Can Backfire

November 202410 min read

The Perils of Learning on the Fly: Why DIY AI Solutions Can Backfire

The temptation to have in-house IT teams build custom AI solutions is strong. But hidden complexities in data management, security, governance, and cost can turn well-intentioned projects into costly misadventures.

The Hidden Costs of Technical Debt in Bespoke Generative AI Solutions

November 20249 min read

The Hidden Costs of Technical Debt in Bespoke Generative AI Solutions

Custom-built AI systems accumulate technical debt that can consume 20–40% of the value of new technology investments. Here is why the platform approach is the smarter long-term bet.

Why the Platform Approach to Generative AI Outshines Bespoke Solutions

November 202410 min read

Why the Platform Approach to Generative AI Outshines Bespoke Solutions

Custom-built AI systems may seem appealing, but the platform approach consistently delivers greater scalability, sustainability, and long-term value. Here is why the industry is making the shift.

Enterprise AI Adoption: Navigating Risk and Opportunity

October 20246 min read

Enterprise AI Adoption: Navigating Risk and Opportunity

Understanding and managing risk is key to long-term AI success. The challenge is not just adopting AI, but doing so in a way that mitigates pitfalls and maximises strategic opportunities.

Exploring the Claude 3.5 Sonnet Release

SmartSpace spent dedicated time testing Claude 3.5 Sonnet's capabilities. Here is what we found — and what it means for enterprise AI applications.

PoCs are Killing Gen AI

The overreliance on Proof of Concepts is stifling generative AI's potential. The fix is a mindset shift from PoC to MVP — building for production from day one.