Our methodology
We don't start with code. We start with the P&L.
The Magecore method has three phases: Diagnostic (1–3 weeks), Engineering (3–6 months), and Sustainment (12 months). Each phase uses AI to accelerate delivery and ties technical decisions to explicit financial return.
And we let AI do the heavy lifting.
Decision engineering in 3 phases
Phase 01
Diagnostic
We're spending too much on operations, but nobody can tell me exactly where.
Full audit of financial, technical, and operational pillars with AI models analyzing codebase, infrastructure, logs, and costs. Deliverable: Precision Report with leak map, health score, and prioritized list with financial projection.
- Financial, technical, and operational audit
- Leak map in real currency
- Operation health score
- Prioritized list with financial projection
- Complete Precision Report
- Industry benchmark
Phase 02
Engineering
We need to migrate, but we can't stop generating revenue.
Strangler Pattern for progressive migration without interrupting revenue. AI monitors risks in real time. Modular architecture, reduced TCO, complete documentation.
- Zero-downtime progressive migration
- Real-time predictive monitoring
- Modular, decoupled architecture
- Documented TCO reduction
- Complete operation documentation
- Vendor independence
Phase 03
Sustainment
50 technical demands — which one do we prioritize?
Governance with quarterly checkpoints tied to financial KPIs. Predictive dashboards and roadmap with explicit ROI per initiative.
- Roadmap with ROI per initiative
- Quarterly go/no-go checkpoints
- Predictive deviation dashboards
- Finance-integrated governance
- Impact-based prioritization framework
- Planned architectural evolution
AI in the method
AI is not our product. It's our unfair advantage.
In the diagnostic
Codebase, infra, and financial metrics cross-referenced in days, with more variables and less bias.
In execution
Automated tests, predictive monitoring, and continuous validation.
In sustainment
Predictive dashboards show deviations before they become incidents.
Comparison
What sets us apart
| Traditional consultancy | Magecore |
|---|---|
| Diagnostic in 4–8 weeks | Diagnostic in 1–3 weeks (AI as engine) |
| Delivers generic reports | Delivers diagnostic with values in real currency |
| Sells hours | Sells results with fixed scope |
| Focuses on technology | Focuses on P&L impact |
| Generalist knowledge | Deep Adobe Commerce / Magento ecosystem expertise |
| Suggests vague improvements | Maps specific margin leaks |
| Rotating junior team | Fixed senior team from start to finish |
| Monitors via monthly report | Monitors via real-time predictive dashboard |
Candor
The problem the market won't say out loud
Adobe Commerce / Magento is powerful. But the ecosystem is broken.
Projects sold by seniors, executed by juniors.
A recurring market pattern — and the operation pays the price.
Shallow knowledge disguised as specialization.
A recurring market pattern — and the operation pays the price.
Technology tunnel vision.
A recurring market pattern — and the operation pays the price.
Estimates that are fiction.
A recurring market pattern — and the operation pays the price.
Zero financial visibility.
A recurring market pattern — and the operation pays the price.