The MavenSolutions story
01
The pattern
Most enterprise software projects follow a familiar structure. Consultants define the strategy. Engineers build against it. They report to different leaders and work on different schedules, so no one owns the result. The outcome is predictable: a partial implementation, delivered late, with the most important parts still unresolved.
We saw this for fifteen years while running an ecommerce engineering company. The technology changed, but the handoff between advice and delivery did not. It also left clients dependent on expertise outside their company.
MavenSolutions keeps the business case, delivery, and measurement under one team. The engagement ends with a working system the client owns.
02
Why now
AI agents make smaller, bounded projects practical. A workflow with a known cost and an operations owner once required a multi-quarter integration program. Today, the same work can often be delivered as a focused build that the operations team can own. That is why MavenSolutions exists now.
03
How we're built
Andrew Korolov owns the judgment and the accountability on every engagement. An established delivery team — people he has shipped with for years — executes the builds. Advice, delivery, and measurement never split across vendors.
The evaluation exists before the agent. Kill criteria are agreed before the expensive work. No baseline, no build.
Open-ended engagements drift toward the consultant's incentives. Fixed scope forces the hard conversations into week one, where they belong.
Most enterprise AI work creates a dependency, because that's what the incentives produce. We're betting on the buyers who would rather own the system than rent the relationship. Code, evaluations, runbook — yours at handoff.
04
Andrew Korolov · Founder
Twenty years ago Andrew was one of the engineers who built Magento — early lessons in what breaks when software meets real traffic. He then spent fifteen years leading MavenEcommerce, an ecommerce engineering company whose client relationships ran as long as a decade. Hundreds of projects taught him which engagement shapes work and which reliably fail.
His engineering beliefs — the eval set is the specification, over-architecture is the default failure, pilot success is a misleading signal, observability is the agent's nervous system — are codified in the A.G.E.N.T. framework, published so you can pressure-test the method before we talk.