AI can write code, and fast. So here is a question worth sitting with: what if code was never your biggest bottleneck?
If your organization is generating code faster than ever and still struggling to deliver results, something else is limiting progress. Maybe it always was.
Think about where work actually waits in your organization. Is it waiting for development capacity? Or is it waiting for agreement about the problem, clarity about priorities, and decisions nobody has made?
For years, slow development gave everyone cover. Requirements could be fuzzy because the build would take months and there was time to sort it out. Priorities could stay unsettled because the backlog was long anyway. Now the build takes days, and all those unmade decisions are sitting right there in plain view.
Speeding Up One Step Does Not Speed Up the Whole
Anyone who has studied process flow knows this principle. Improving a step that is not the constraint does not improve the system. It just moves the pile.
When development accelerates, work piles up somewhere else. Common places I am seeing it land:
- Before the build: waiting on problem definition, priorities, and funding decisions.
- After the build: waiting on review and validation of what AI produced.
- At release: waiting on business readiness, training, and change management.
- After release: waiting on anyone to check whether it worked.
That second one deserves attention. In many teams, the new bottleneck is reviewing and validating the solutions AI builds. Code arrives faster than humans can confirm it does the right thing for the business.
This Is a Question About Understanding the System
I want to be clear: this is no argument against AI-assisted development. It is an argument for understanding what actually limits progress before assuming more production will fix it.
This is squarely business analysis work. BAs are trained to look at how work flows, where it waits, who decides, and why. That skill set becomes far more valuable when an organization is confused about why faster production is not translating into better results.
Tip 1: Map Where Work Actually Waits
Pick one recent initiative and trace it from idea to outcome. For each stage, capture two numbers: how long work was actively being done, and how long it was waiting.
Most teams are shocked by the result. Active work is often a small fraction of total elapsed time. The waiting is where the calendar goes. And, when was a BA involved? Could a BA have been brought in earlier?
Then look at what the work was waiting for. A decision? A stakeholder? A dependency on another team? A review? Clarity about what “done” means?
This simple exercise gives leaders something they rarely see: evidence of where the constraint really sits. It turns a vague frustration into a specific, fixable problem.
Tip 2: Bring the Unmade Decisions to the Surface
When the bottleneck is a missing decision, the most valuable thing a BA can do is make that decision visible and easy to make.
Frame it clearly. What is the decision? Who owns it? What are the options? What does each option cost and enable? What happens if nobody decides by a certain date?
A well-framed decision gets made far faster than a vague open question floating in a meeting. Prototypes help here too. When leaders can see two options working side by side, choices that stalled for weeks can land in a single session.
Tip 3: Put Validation Capacity on the Plan
If review and validation are your new bottleneck, treat them as real capacity to plan for.
- Assess where analysis can happen before or in parallel to the other work and build can also happen to lessen the validation bottleneck.
- Define success criteria and key scenarios before the build starts, so validation has something clear to check against.
- Involve the people who will validate early, so they are not seeing the solution cold.
- Use AI to accelerate testing and review, with humans owning the judgment on business fit.
- Make validation time visible in planning, next to build time.
Organizations that invest in faster building without investing in faster validation will keep watching work pile up at the end.
A Better Question for Leaders
The question “how do we build faster?” has largely been answered. The better question now is “what is actually standing between us and results?”
BAs are some of the best people in any organization to answer it. Our role goes well beyond helping teams produce faster. We help organizations understand why faster production is or is not turning into better outcomes, and what to do about it.
So, look honestly at your own organization. Has your bottleneck moved, or have you finally exposed where it was all along?
Learn to Find and Fix the Real Constraint
My Maven course series helps BAs analyze flow and constraints in AI-accelerated delivery, including decision framing, validation planning, and making the case to leaders with evidence.
Visit www.maven.com/angela-wick to explore current courses and upcoming cohorts.
The code is fast now. Help your organization find what is still slow.