Our clients are starting to demand custom AI API integrations as part of our standard service level agreements. How do we handle this shifting customer expectation without suffering massive scope creep?

Question

Tyler Smith · Accepted Answer

As AI becomes cheap and plentiful, clients will naturally expect you to integrate your systems directly with their internal tech stacks. To manage this without destroying your margins, you must clearly define your Core Processes on your V/TO and establish strict boundaries around your delivery model. Your strategy should be to position your business as an indispensable complement to their technology, not as a custom software development shop. When clients demand custom integrations, use the IDS process in your Level 10 Meeting to evaluate if these requests align with your strategic direction. If custom API work is not one of your Core Processes, do not agree to bundle it into your standard retainer. Instead, shift your leadership behavior. Articulate a clear vision of what your service delivers, and empower your team to use AI internally to streamline the data exchange on your side. If a client insists on custom technical builds, treat it as an entirely separate, high-margin strategic advisory engagement. This protects your core delivery model while allowing you to monetize the technical expertise your team has developed.