Technical debt is the extra work that builds up when a team chooses a quick, short-term solution instead of taking the time to build a better one. Like financial debt, it carries "interest" - every shortcut left unresolved makes the next change slower, riskier and more expensive.
**Quick answer:** To run an AI risk assessment, define the AI system and its intended use, map the data and people involved, identify potential risks, assess their likelihood and impact, assign controls and owners, document the decisions, and set a review date. A framework such as the **[NIST AI RMF](https://www.nist.gov/itl/ai-risk-management-framework)** can make the process repeatable.
Learn what seed funding is, who provides it, how much startups raise, and how to know whether your business is ready to approach investors.
Learn how to move from AI pilot to production, avoid common roadblocks, and turn successful trials into reliable operating workflows.
Learn how to build a Minimum Viable Product Strategy, choose between an MVP and full product, prioritise features, estimate costs, and validate your idea.
Rising AI license costs are outpacing proven results. This CFO guide covers what to evaluate before approving new AI seats, from subscription costs to building a repeatable license approval process.
Book a free 30-minute Snapshot. We'll identify shadow AI exposure, map your legacy tech debt, or help you outline a modernization pilot.
