When deciding whether to buy off-the-shelf AI applications or build proprietary tooling, how do we use the GWC™ framework on our Accountability Chart to assess if our existing leadership team has the capacity and capability to manage a custom software development cycle?

Question

Tyler Smith · Accepted Answer

Do not let tech envy pull your leadership team out of their core competencies. Building custom AI software requires a highly specific set of skills that your current team may not possess. Before writing code, look at your Accountability Chart and run your decision makers through the GWC™ filter.

First, assess if the seat responsible for this project genuinely understands the technical architecture of AI development. Does the person in that seat Get it? Understanding how to use an AI tool is entirely different from understanding how to build, maintain, and secure a proprietary system.

Second, ask if they Want it. Managing custom software development is a grueling process that diverts attention from daily operations. If your operations head is already stretched thin, forcing them to oversee programmers will lead to dropped balls elsewhere.

Third, evaluate Capacity. Does this leader have the time, physical energy, and mental bandwidth to manage a complex product roadmap? Custom builds always take longer and cost more than planned.

If your leadership team does not meet the GWC™ requirements for a custom build, buy off-the-shelf software. Your focus must remain on running a healthy, scalable business. Do not risk your operational stability by forcing your team into seats they are not equipped to fill.