The barrier isn't how fast your admins and developers work - it's the rigor of your process. AI magnifies every gap, introducing breaking changes to your production org. Rapidly.
I build a development ecosystem designed to create a pit of success - one that ensures only quality changes that deliver value are deployed by your team, your contractors, and AI alike.
The barrier isn't how fast your admins and developers work - it's the fit of the people you trust with it.
I also give you the information and competency to engage the right resources for your project - and to evaluate their work.
The investment-to-outcome gap predates AI. Newer AI research shows why faster tools still need a sound delivery system.
Met or exceeded target value.
Created some value, missed targets.
Created limited value.
AI can speed up the wrong work as easily as the right work. Unclear requirements, fragile architecture, and unchecked changes still cost you.
Salesforce makes it easy to build without calling it software development. A flow, a configuration change, and a line of Apex can all change how the business operates. They deserve the same engineering discipline.
AI lowers the bar for creating those changes and raises the speed at which they arrive. It can also misunderstand the requirement or produce convincing code that is wrong. Without controls, "vibe coding" can scale technical debt faster than a team can understand it. The risk is not just a bad feature. It is losing the ability to safely change the system your business depends on.
used AI at work
reported little/no trust in AI-generated code
DORA 2025: 90% used AI at work; 30% reported little/no trust in AI-generated code. Survey of nearly 5,000 technology professionals. Different questions, not complementary groups; self-reported, not measured code quality. Source ↗
Dismissing AI as a fad misses the opportunity. Blind faith misses the risk. I work with people who see its power and know it cannot be unleashed unsupervised.
The aim: software you can keep changing, trusting, and growing.
DORA's 2025 research found AI adoption associated with better delivery throughput and greater delivery instability. The benefit depends on the system around the tools. These are observational findings, not a guaranteed causal effect or a forecast for your team. DORA 2025 source ↗
Controls do not have to mean bureaucracy. DORA's research favors peer review and automated checks during development over heavyweight external approval boards; it found no evidence that the latter reduced change failure rates. Change-approval research ↗
Your supplier's speed is not automatically your value. You need independent expertise to judge the people, the proposal, and the work. I put that expertise on your side.
AI makes that gap more important. A firm's ability to produce code faster does not automatically mean a lower bill or a better result for the client. The client still lives with the system, the maintenance burden, and the risk.
I level that playing field. I help make the requirement clear, connect it to the business objective, and give you an independent way to judge the people, the proposal, and the work.
Different ways I bring that judgment and machinery to the work.
A working Salesforce prototype gives business users and developers a shared reference, then turns that understanding into specifications.
Quality control, change management, governance, and CI/CD designed to work as one system.
Independent expertise on your side of the table, so you can judge the people, the proposal, and the work.
I connect engineering decisions to business objectives, and make the tradeoffs clear.
These links open a separate page. The blurbs above expand here.