A reusable Sitecore-to-AEM-as-a-Cloud-Service accelerator with Edge Delivery Services — EMA-first, so Adobe's AI migration agents transform static content into EDS blocks while a reusable dynamic-content engine handles the datasource, API, and integration-driven scenarios rendered HTML alone can't reproduce.
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/ The accelerator
A reusable migration framework, not a one-off port.
An EMA-first, two-track accelerator for Sitecore-to-AEM/EDS migrations — Adobe's AI agents handle the static content, a reusable engine handles the dynamic, and customer specifics live in configuration, not hard-coded work.
/01
EMA-first AI migrationHTML to EDS blocks
Wherever rendered Sitecore HTML carries enough to build the target, Adobe EMA agents discover, extract, and transform it into EDS-compatible blocks — the AI-driven standard path for static and HTML-oriented content.
Dynamic Content AcceleratorWhere HTML isn't enough
Datasource-, API-, and logic-driven components can't be rebuilt from a rendered snapshot. Our reusable engine discovers the underlying data and dependency, classifies each component, and maps it to the right EDS block or integration pattern.
Both tracks converge on a canonical content model, so source extraction is separated from target transformation and customer-specific mapping is expressed as configuration — reusable across migrations, not rewritten each time.
Each content type is routed to the right mechanism — EMA agents for what renders cleanly, the Dynamic Accelerator for what doesn't — then normalized, mapped, and validated against the source.
Static Pages
HTML & authored content
Templates and rendered pages converted to EDS documents and blocks by Adobe EMA agents, with orchestration and validation layered on.
Structured Content
Fields & schemas
Structured, authored content mapped through the canonical model with schema, field, and transformation rules — not scraped from HTML.
Dynamic Components
Datasource & API-driven
Components backed by datasources, APIs, commerce, or search discovered, classified, and rebuilt as the equivalent EDS block or integration.
Assets
Media & metadata
Images, documents, and metadata migrated with duplicate handling, reference resolution, and validation.
URLs
Links & redirects
URL structure preserved and redirects mapped through the transformation pipeline, with validation rules to protect SEO.
References
Links & dependencies
Internal references and content dependencies resolved against the canonical model so nothing breaks on the target.
Multi-site
Sites & languages
Reusable site and language mapping patterns for multi-site, multi-language Sitecore implementations.
Integrations
Third-party & runtime
API-driven and third-party scenarios handled via reusable adapters; personalization and runtime logic assessed for an EDS-compatible replacement.
/ How we build
A repeatable, AI-assisted migration pipeline.
One pipeline, run for full, delta, and cutover cycles: Adobe's EMA agents carry the static content, the Dynamic Accelerator carries everything datasource- and API-driven, and every item is validated and reconciled against the source.
1 · Discover→
2 · Classify→
3 · Extract→
4 · Normalize→
5 · Map→
6 · Transform→
7 · Load→
8 · Validate→
9 · Reconcile→
10 · Delta / Cutover→
Discover
A discovery accelerator analyses Sitecore templates, renderings, components, content tree, datasources, assets, integrations, languages, and volumes — the full landscape before any content moves.
Output: a complete source inventory and migration backlog.
Classify
Every item is separated into static/HTML, structured, dynamic, and integration-driven content — so each pattern is routed to EMA agents or the Dynamic Accelerator, whichever reproduces it faithfully.
Output: a per-pattern routing decision for the whole estate.
Extract
EMA agents pull suitable HTML and content, while Brainvire extraction services handle datasources, linked items, and API-driven data that a rendered snapshot can't expose.
Output: raw source content and structured data, captured.
Normalize
Source content is converted into a canonical content model, so mapping and transformation stay independent of Sitecore implementation details and reusable across migrations.
Output: a source-neutral canonical representation.
Map
Configurable template, field, component, and EDS block mappings are applied from a versioned mapping library — customer specifics as configuration, never hard-coded into the core.
Output: canonical content mapped to target EDS structures.
Transform
The transformation engine generates EDS-compatible content and block structures, normalizes HTML and data, and resolves metadata and references for the target.
Output: ready-to-ingest EDS documents and blocks.
Load
Content, assets, metadata, blocks, and references are ingested into AEM as a Cloud Service and EDS through Adobe-supported mechanisms, with an automated publishing flow.
Output: content live in the target AEM/EDS implementation.
Validate
Technical, content, structural, and experience-level checks run automatically — API and ingestion status, page and field counts, block structure, rendered output, links, and key SEO metadata.
Output: a multi-layer validation pass on every item.
Reconcile
Source and target are compared — counts, links, assets, references, and fields — with exception reports generated and failed items reprocessed rather than lost.
Output: reconciliation reports and a clean exception queue.
Delta / Cutover
Change detection drives incremental delta cycles, and the same pipeline runs the final production cutover with checkpoints and rollback support — repeatable, not a one-shot event.
Output: incremental syncs and a controlled go-live.
EMA-firstAdobe AI agents carry static HTML-to-EDS conversion
Two-trackReusable Dynamic Accelerator for datasource & API content
Config-drivenCustomer specifics as configuration, not code
ValidatedAutomated reconciliation on every migration run
/ Scoped to your complexity
Three tiers, sized by migration complexity.
The reusable accelerator baseline is a 360 person-day framework; for a specific Sitecore migration these tiers give an initial implementation budget. Primary drivers are page volume, component count, dynamic and API dependency, languages and sites, assets, integrations, and cutover complexity.
Small
120–180PD · 10–14 weeks · 4–5 FTE
High EMA reuse, low custom behaviour
High EMA/static reuse with limited custom Sitecore behaviour, few dynamic or API components, and standard datasources and integrations — the fastest path onto AEM/EDS.
Medium
220–320PD · 16–22 weeks · 6–7 FTE
Mixed static and dynamic content
A mix of EMA/static and dynamic content, multiple datasource patterns, moderate APIs and integrations, custom components, and multi-site or multi-language mapping.
Large
350–500+PD · 24–32+ weeks · 8–10 FTE
Significant dynamic & integration depth
Significant dynamic and API content, complex dependencies, extensive custom extensions, multiple integrations, and complex sites, languages, and cutover — delivered wave by wave.
/ Why this accelerator
Reusable, AI-first, and built to be verified.
A framework designed for reuse across migrations, not a single customer port — with Adobe's AI agents on the standard path and automated validation on every run.
Reusable
Configcustomer specifics, not code
A framework, not a one-off
Mapping rules, block definitions, and transformation rules live in configuration and a versioned library, so the core accelerator stays customer-neutral and every migration starts ahead.
AI-first
EMAagents on the standard path
Adobe's AI agents do the heavy lifting
EMA agents discover and convert static content to EDS blocks wherever HTML suffices, so effort concentrates on the dynamic scenarios that genuinely need engineering.
Coverage
2 tracksstatic and dynamic, together
The dynamic content isn't left behind
Datasource-, API-, and logic-driven components are discovered, classified, and rebuilt as EDS blocks or integrations — the part an EMA-only approach can't reliably reproduce.
Assurance
5 layersof automated validation
Every item reconciled to the source
Technical, content, structural, experience, and reconciliation checks run automatically, with exception reports and reprocessing — migration integrity you can evidence, not assume.
/ Adobe Experience Manager, on the record
AEM platforms we've built, and what changed.
We lead with Texas Energy Provider — a large-scale AEM modernization. The remaining cards are a placeholder set, to be swapped for the exact case studies on the Adobe Partner page.
Start with a discovery and validation phase — representative EMA and dynamic Sitecore patterns, source-version compatibility, and EDS mappings, proven before the full run. A working session with a migration architect, no sales deck.
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