Adobe Commerce / Magento · Engineering + AI
We are a boutique digital engineering consultancy and agency specialized in Adobe Commerce / Magento, powered by Artificial Intelligence, measuring every delivery by its impact on your P&L. We don't sell hours. We sell documented financial results.
About us
Expertise forged in the Adobe Commerce / Magento ecosystem. We operate with Artificial Intelligence as our engine, design modern architectures, and measure success by P&L impact.
We are not a software factory. We don't sell hours. We sell documented financial results.
The problem
Projects that overrun. Agencies that disappear. Costs nobody can explain. And entire operations locked into architectures that prevent the business from growing.
~50%
of software projects are challenged (delay, cost overrun, or reduced scope)
R$2M+
in invisible annual cost mapped in mid-size diagnostics
Challenged projects: Standish Group, CHAOS Report. Invisible cost: average observed in Magecore diagnostics.
Solutions
Each solution addresses a specific type of operational bleed.
Solution 02
Zero-downtime progressive migration: 25% to 50% TCO reduction.
Methodology
Phase 01
Multidimensional assessment with AI cross-referencing cost, code, and operations.
1–3 weeks
Phase 02
Progressive migration without stopping revenue. Strangler and observability.
3–6 months
Phase 03
Governance, predictive dashboards, and roadmap with explicit ROI.
12 months
Results
-41%
TCO reduction
Mid-size retail, 12 months after M1→Adobe Commerce Cloud migration
+22%
Conversion rate
Mid-size retail, 12 months after Strangler migration
-62%
Support tickets
Enterprise B2B SaaS, 9 months after critical module re-engineering
R$2.1M
Annual savings
Mid-size retail, 12 months post documented intervention
Artificial intelligence
We use AI as internal infrastructure to deliver better than any billable-hours model.
3x faster diagnostic
AI analyzes codebase, logs, and costs in days.
Predictive monitoring
Anticipates risks during migrations.
Predictive dashboards
Deviations visible before they become problems.
Guides
Migration, assessment, TCO, and architecture — with timelines, criteria, and sources. Written by Marcio Maciel, co-founder of Magecore.
Guide 01
A Magento or Adobe Commerce migration without stopping revenue takes 3 to 6 months with the Strangler pattern: each function migrates in waves validated in production before the next, keeping checkout and catalog live throughout the process.
Guide 02
Magecore's Precision Assessment is an AI-assisted multidimensional diagnostic that identifies margin leaks and technical debt in Adobe Commerce / Magento operations, delivered in 1 to 3 weeks — not months — with a cost map in real currency and a clear recommendation: migrate, optimize, or maintain the platform.
Guide 03
25% to 50% infrastructure TCO reduction over 12 months is a realistic target for mid-size Adobe Commerce / Magento operations that migrate to modular architecture with observability, provided the starting point includes elevated reactive legacy costs.
Frequently asked questions
Magecore answers the most common questions about migration, assessment, costs, and TCO reduction — with numbers, not promises.
Between 3 and 6 months, using the Strangler pattern and progressive migration, without stopping revenue during the process.
Duration depends on catalog size, integrations, and accumulated technical debt. Each migration wave is validated in production before the next.
It is an AI-assisted multidimensional diagnostic that identifies margin leaks and technical debt in Adobe Commerce / Magento operations, delivered in 1 to 3 weeks.
The deliverable includes a map of invisible costs, prioritized interventions with financial impact, and a clear recommendation: migrate, optimize, or keep the current platform.
The initial 30-minute conversation and pre-diagnostic with the three main areas of concern are free.
The full Precision Assessment is a fixed-scope project; investment varies by operation size and complexity and is presented after the initial conversation.
For migrations to modular architecture with observability, 25% to 50% reduction in infrastructure TCO over 12 months is a realistic target for mid-size operations.
The exact percentage depends on the starting point: operations with high reactive legacy costs tend toward the upper range; each case is quantified in the diagnostic.
Next step
A a 30-minute conversation with our co-founder. No pitch. No commitment.
