Solved by Jim
Technical Expertise · Business Fluency

Velocity of change isn't progress.Software that delivers value is.

Jim Coningsby Salesforce Architect
↓

The problemDevelopment without Controls

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.

The solutionRobust ecosystem

I've designed and built the machinery: quality control, change management, governance, and CI/CD working as one system. It creates a pit of success where only quality changes that deliver value reach production, whether they come from your team, contractors, or AI.

The problemYou don't know what you don't know

Your suppliers know more about the work than you do. That asymmetry of information makes it hard to know who to trust, what you're paying for, and whether their work meets the standard.

The solutionVetted Resources, Verified Work

Think of me as your owner's rep - the person on your side of the table who knows this world. I give you the information, competency, and mechanisms to hire the right resources and evaluate their work.

Already convinced? Let's talk.
Not yet? Keep reading, or skip ahead to learn more about how I solve it.
The long version

Salesforce work is software development.

Whether your team writes code or builds with clicks, they're changing how your business runs. Calling it configuration doesn't change what can go wrong, or make testing, version control, and change management any less necessary.

The promise of low-code and no-code made Salesforce feel like an exception. It isn't. Every change should be traceable, tested, and released through a controlled process, whether it comes from an admin, a developer, or AI.

A benchmark, not a prediction

The gap between investment
and outcome is not new.

The investment-to-outcome gap predates AI. Newer AI research shows why faster tools still need a sound delivery system.

Where transformations land.
100%transformations
30%

Met or exceeded target value.

44%

Created some value, missed targets.

26%

Created limited value.

Source & context
Source: BCG, Flipping the Odds of Digital Transformation Success (2020). Based on 70 BCG-supported transformations and a survey of 825 executives. These are broad digital transformation findings, not a Salesforce failure rate, a measure of wasted spend, or a result promised by Jim.
The same gaps, at greater speed

AI doesn't fix a weak process.
It speeds it up.

If your team already struggles to turn changes into business value, adding AI doesn't remove the reasons why. It can produce code faster, but it can also misread requirements, invent answers, and introduce changes that look right until they reach production.

Keep the same bad practices and you give those problems more room to grow. Without testing, review, and controlled releases, faster development can mean more failures, more technical debt, and less value from the work.

Widespread use. Uneven trust.
90%

used AI at work

30%

reported little/no trust in AI-generated code

Source & context

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 ↗

The customer's side of the table

They keep the savings.
You carry the risk.

Your firm or contractors can use AI to do the work faster without passing those savings on to you. You still pay the bill, and you still live with the software, the maintenance burden, and anything that breaks.

It also gets harder to see who is actually doing the work and to what standard. Was it built by the expert you hired, someone else on their team, or AI? Who checked it? You need a way to judge the work, not just trust the people selling it.

The problems compound.

Software development is hard and risky even when it's done well. Without the basics in place, the costs show up everywhere: abandoned work, breaking changes, hours spent testing or waiting to deploy, and people overwriting each other's changes. It's hard to see the total because the waste is spread across the work.

Over time, that becomes technical debt. Tests take hours, nobody is sure what a change will break, and people become afraid to change anything. The system gets harder to maintain until starting over begins to look easier than fixing it.

AI doesn't remove those problems. It can produce more changes faster than your team can check them. And faster work doesn't automatically mean a lower bill. You still have to run the system, maintain it, and deal with what breaks.

How I help

A development ecosystem built for control.

The goal is valuable software. The process connects what your business needs to what reaches production, then uses what happens there to improve the next change.

Six mechanisms. One controlled path.
Hover or select a mechanism to see how it works.

Make the requirement tangible.

Admin changes enter the pipeline.

My development standards, encoded.

Shared machinery, already built.

Failed checks stop the change.

GitHub Actions to versioned releases.

The pit of success

Good work is the natural outcome rather than relying on discipline or compliance alone

Clear intent · Consistent builds · Checked changes · Repeatable releases

I fit this machinery to your org and move your team into it in stages, so admins, developers, contractors, and AI work through the same controlled path.

The judgment on your side of the table

An owner's rep who knows the work.

I give you the information, competency, and mechanisms to judge the resources you hire and the work they deliver.

From business need to work you can evaluate.
01

Define

Business needs turned into requirements.

02

Assess

Resources and proposed approaches evaluated against those needs.

03

Set standards

Clear criteria and ways to verify the work.

04

Evaluate

Delivered work judged against the requirement and standard.

05

Decide

Cost, quality, and risk made clear for your next decision.

Valuable software. Informed decisions on your side.

A working demo isn't the whole test. I help connect the requirements, the people, and the standards so you can evaluate the work and what it will take to maintain. If AI changes how a supplier delivers, you have a basis for asking what changes in the price, quality checks, and responsibility.

Technical depth.
Connected to the business.

I connect engineering decisions to business objectives, and make the tradeoffs clear.

Explore the detail

Keep reading.

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