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Our team wants to build custom API connections to stitch together three different AI platforms, but we have no internal software developers. How do we structure this decision on our V/TO® so we do not end up with an unmaintainable system or over-reliant on external freelancers?

When building custom API connections using external freelancers, your team takes on a significant hidden technical debt burden. Before writing any code, your leadership team must thoroughly vet this decision through your V/TO® and Accountability Chart.

Assess Internal Capacity and Ownership

First, examine your existing [Accountability Chart](/qa/ai-operations-seat-accountability-chart). A critical question to ask is:

• Who will own this system once the freelancers complete their work and depart?

If no seat possesses the GWC™ (Get It, Want It, Capacity to Do It) to manage, debug, and update these custom API connections, then building them is likely not a sound business decision. The ongoing cost of maintaining fragile custom code with external contractors can quickly exceed any short-term efficiency gains. This long-term cost is often referred to as an "invisible flow cost" which can be a key consideration in your decision-making.

Strategic Real Options Framework

Second, adopt a strategic real options framework. Consider this as an option to wait. The landscape of off-the-shelf integration tools is maturing at an exponential rate.

• By waiting as little as six months, you may find a native, no-code connector that achieves 90% of your desired functionality for a fraction of the cost and with significantly reduced maintenance overhead.
• This approach aligns with a disciplined approach to technology investments, avoiding premature commitment to custom solutions. For further insights on delaying AI investments, consider whether it's [safer to wait for AI technology to mature](/qa/real-options-flow-cost-ai-delay).

Proceeding with Caution

If your team decides to proceed with custom development now, implement the following structured approach to minimize risk:

• Make it a Quarterly Rock: Assign this initiative as a Rock for the current quarter.
• Assign Leadership: Designate a specific leader on your Accountability Chart to own this Rock.
• Document Everything: That leader must ensure the entire custom architecture is meticulously documented within your Core Processes. This documentation is crucial for future maintainability. For more on improving processes, see [how AI can simplify documented processes](/qa/simplify-eos-process-component-with-ai).
• Demand Clean Code: Do not authorize the project unless the external freelancer commits to delivering fully documented, clean code that your internal team can understand and manage.

Ultimately, strive to stick to your Core Focus™ and keep your operations simple, scalable, and maintainable. This approach helps prevent unmanageable systems and over-reliance on external resources, ensuring your V/TO® goals remain achievable.

Related questions

• [Should we create a dedicated AI Operations seat on our Accountability Chart, or integrate AI into existing seats?](/qa/ai-operations-seat-accountability-chart)
• [Is it safer to wait for AI technology to mature before we invest, or are we paying an invisible flow cost by delaying our transition?](/qa/real-options-flow-cost-ai-delay)
• [Our documented processes in our 3 Step Process Component are outdated and too long. How can AI help us simplify them so our employees actually follow them?](/qa/simplify-eos-process-component-with-ai)
• [My leadership team is constantly chasing the latest AI tools but we have nothing to show for it except high subscription bills. How can we use disciplined Thinking Time to make smarter technology bets?](/qa/thinking-time-ai-software-fatigue)

Category: AI & Business Strategy

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