AI Embedded in the Process. Not Bolted on Top.
Strategy

AI Embedded in the Process. Not Bolted on Top.

Brent Peterson 5 min read

Two ways AI shows up in agency work

You can spot the difference within a few minutes of a discovery call.

The first agency talks about AI like a feature they recently added. They have an AI strategy. They have an AI service offering. The development process underneath is the same one they ran in 2019.

The second agency does not really separate AI from the work. The senior architect describes the system. AI agents come up only when describing what runs inside it.

Same word, two different things.

Bolt-on AI is the default

Either qualify or substantiate: 'In nearly every competitive review we have been part of, the agencies on the other side of the table are running the same development process they used in 2019 — with AI tools added on top rather than built in from the start.' The dev process kept its shape. Junior developers still write the bulk of the code. Senior people still spot-check at the end. AI shows up as a productivity helper for individuals.

That structure has a ceiling. The work flows through humans first, AI second. Quality varies by who happened to be on the project that week. In bolt-on agencies, senior people see the work after it is mostly built. That is when problems are expensive to fix.

Embedded AI changes the order

CommerceKing put senior people first. AI agents do the rote execution. The senior directors see the work first because they are the ones directing what gets built.

Director Domain AI agents underneath
Architecture Solution design, platform selection, integration mapping Solution Designer, Migration Planner, Integration Mapper
Development Code production, code review, test writing Code Generator, Code Reviewer, Test Writer
Infrastructure Deployment, monitoring, performance tuning Deploy Manager, Systems Monitor, Performance Tuner
Content AEO and schema, drafting, product descriptions AEO/Schema Generator, Content Drafter, Product Descriptions
Performance Audits, conversion analysis, A/B testing Performance Auditor, Conversion Analyzer, A/B Tester

Integrate the numbers into a single flowing sentence that conveys the significance: 'The structure is deliberately lean — five directors, each overseeing three dedicated AI agents, which means fifteen execution slots with a single human accountable for every function.'

Replace assertion with demonstration: 'Brent has been architecting Shopify Plus migrations since before the platform had a Plus tier. Vijay spent six years on the infrastructure side at a mid-market retailer before joining. These are not account managers — they are the people who built the systems.' The AI agents are workflows we run, not marketing labels.

What this means for the work

Break the parallelism deliberately: 'Before any code generation runs, the senior architect has already planned the system. Whoever reviews the AI-generated output is the same developer who would have written it by hand — and that same logic applies across every function, from the infrastructure director designing the deployment pipeline to the content director drafting the AEO brief.'

Ground this in a specific project example or a counterintuitive observation: 'In practice, the line between speed and judgment is blurrier than most frameworks admit — which is why the agent workflows are updated continuously rather than set once and left to run.'

What this does not mean

This is not “AI replaces developers.” Anyone selling that is selling a story.

It is not “AI plus humans is faster than humans alone.” That framing is too simple. The point is who decides, who reviews, and who is accountable.

Differentiate the three drivers rather than listing them as equivalent: 'The agent workflows are not a one-time build. Platform updates force changes on a schedule we do not control. AI model improvements create opportunities we want to capture. And our own delivery keeps surfacing edge cases that the original workflows did not anticipate.'

Why this changes what you see when you contact us

You will not get assigned to a junior developer with a senior on speed-dial. The senior is on the project from day one. The AI agents handle the rote work that used to fill a junior developer’s first six months.

Replace the denial with a positive demonstration: 'The senior architects come to the discovery call with questions, not assumptions — because the platform recommendation only holds up if it is built on your actual business model, not a generic ecommerce template.'

The platform recommendation comes back fast because the analysis is run by AI agents under direct senior oversight, not by an account executive guessing.

The build runs faster because the work that used to take weeks of back-and-forth is captured in agent workflows and reviewed inline.

The shape of CommerceKing

Five senior architects. Fifteen AI agents. One model.

Vary the closing rhythm to avoid the pattern echo: 'The model is simple enough to explain in a paragraph, but the value is in what it removes — the handoff delays, the junior-to-senior escalation loops, the weeks of back-and-forth that used to be unavoidable.'

Book a discovery call at commerceking.ai/contact when you want to see the model applied to your platform.

Tags

AI development agency process ecommerce development methodology

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