Consulting and implementation across AEM, Target, Analytics/CJA, AEP/RTCDP, AJO, Campaign, Marketo, and Adobe Commerce — paired with high‑performance engineering and AI‑assisted, human‑validated practices.
AI‑assisted sourcing and ramp‑up: structured intakes, shortlists, assessments, and onboarding checklists.
Blueprints for stable pipelines: test generation, coverage analysis, and flaky test reduction.
From data quality to ML Ops: feature stores, evaluation, and safe deployments.
Clarify goals, constraints, and success metrics. Inventory systems, data, and teams.
Content models, interfaces, deployment topology, and a phased roadmap tied to outcomes.
Incremental releases, analytics validation, experiment program, and team enablement.
Yes. We provide flexible models: staff augmentation, pods, and end‑to‑end delivery. We embed with internal teams and coordinate with partners while maintaining clear ownership and outcomes.
AI assists sourcing, development, QA, and enablement — always with human validation, audit trails, and privacy/security guardrails. We document when AI is used and how results are reviewed.
Risk‑based testing, performance budgets, accessibility by design, SAST/DAST, dependency hygiene, and environment hardening — enforced through CI/CD gates and monitored in production.
