Four practices.
One EDS spine.

01 implementation

AEM Edge Delivery
implementation.

The full lifecycle of a production EDS site, from a Figma file or a legacy CMS export to a Lighthouse-100 platform that the marketing team can run without us. We do greenfield builds, full migrations from AEM Sites, Adobe Commerce, and other CMS stacks, and rescue work on EDS projects that stalled mid-build.

Site architecture

Content modelling against your editorial workflow, block taxonomy, fragment strategy, fstab routing, CloudManager provisioning, and the boring-but-load-bearing decisions about how authors will create content five years from now.

Block development

Mockup to functional markup, with the block contract agreed up front: initial HTML structure delivered by the backend, final DOM after decoration. Code that handles missing fields, extra fields, and author error without breaking. Reusable blocks contributed back to your design system where it makes sense.

Authoring surfaces

Document Authoring (DA), Google Drive, SharePoint, and Universal Editor with AEM Sites, singly or in combination, with the same set of blocks rendering identically regardless of source. We help your content team pick the authoring surface that matches their workflow, not the one we'd prefer to ship against.

Performance and operations

Lighthouse 100 on production pages, not just on launch day. Held for the life of the project. CI gates that catch regressions before merge, image and font budgets enforced in code, observability for CWV in the field. CloudManager pipelines, DNS cutover, BYO CDN setup when Akamai or Cloudflare are already in play.

Migrations

From AEM Sites (classic or as a Cloud Service), Adobe Commerce, headless CMS platforms, and legacy systems. Content mapping, URL preservation, SEO redirect strategy, and parallel-run staging so traffic moves over with zero downtime.

02 ecosystem

Adobe Enterprise
ecosystem.

Edge Delivery rarely runs alone. Most enterprise EDS projects share a tenant with AEM Sites, pull from AEM Assets, integrate with Adobe Experience Platform, and report into Adobe Analytics. We connect the front end to the rest of the Adobe stack you're already paying for.

AEM Sites and Assets

EDS as the public front end with AEM Sites driving authoring through Universal Editor. AEM Assets as the DAM, with image references resolved at publish time, automatic optimisation, and responsive variants. Hybrid setups where part of the site stays on classic AEM during a phased migration.

Adobe Experience Platform

Audience activation through Web SDK, server-side event collection, real-time CDP profile lookups inside Edge Delivery's three-phase load without breaking LCP. Consent management wired correctly across the boundary.

Target and Analytics

A/B testing through Adobe Target with EDS's experimentation framework as the runtime. No flicker, no LCP penalty. Adobe Analytics through Web SDK with the event schema designed against your actual reporting needs, not a generic template.

Adobe Forms and Commerce

Embedded AEM Forms inside EDS pages, with submission routing and confirmation flows. Adobe Commerce storefronts using the EDS commerce boilerplate. Category, PLP, PDP, and cart all on the same Lighthouse-100 runtime.

03 ai automation

AI automation
on hardware you own.

AI built into the publishing loop your team already runs, on open-weight models running on compute you control rather than per-token bills that scale with usage. Authoring agents accelerate the boring parts, retrieval makes existing content conversational, and the bill is the hardware. The strategic case for owning your inference is on the AI page; what follows is what we actually ship.

Self-hosted inference

Open-weight models (Llama, Mistral, Qwen, DeepSeek) deployed on hardware sized to your workload. Laptop-class for internal tooling, workstation-class for site-wide retrieval, server-class for high-volume agentic work. We pick the model and the silicon together; neither decision is made in isolation. Hybrid routing when some queries can usefully go to a frontier API and others can't.

Authoring agents

Agents that run against DA, SharePoint, or Google Drive content: drafting page metadata, generating responsible alt text from images, auditing internal link health, reconciling content across regions. Triggered by author action or scheduled, with a human-in-the-loop review step on anything that hits live pages.

Retrieval and RAG

Site search and on-page assistants powered by your own content: indexed at publish time, served from your own inference, latency-budgeted to fit the EDS performance envelope. Your content and your queries stay inside your perimeter; no third-party round-trip to summarise text you already own.

Evals and guardrails

Evaluation harnesses that run on every prompt, model, and retrieval change, so a quantisation tweak or a model swap can't silently regress quality. Content filters, citation requirements, refusal behaviour, and prompt injection defences calibrated to your risk profile, not boilerplate copied from a vendor page.

04 cloud development

Cloud development
off the critical path.

The off-page plumbing your EDS site needs: APIs, integrations, scheduled jobs, webhooks, identity. Built so it stays out of the page-render critical path and doesn't drag Lighthouse scores down. We pick the cloud provider that matches your existing stack, not the one we'd prefer.

Serverless backends

Cloudflare Workers, AWS Lambda, Google Cloud Run, Vercel Functions. APIs that EDS calls from the delayed phase, third-party integrations behind a thin facade, scheduled content syncs, and webhook receivers. Edge-located when latency matters, regional when data residency does.

Integrations

Auth, rate limiting, retries, circuit breakers, and structured error handling. The unglamorous middleware that makes a flaky upstream API survivable. Salesforce, HubSpot, Segment, Stripe, Algolia, and the long tail of internal services you actually need to talk to.

Infrastructure as code

Terraform, AWS CDK, Pulumi, or whatever your platform team standardised on. Provisioning that lives in code review, with environments that match production and rollbacks that work. CloudManager pipelines where AEM Cloud Service is in scope.

Observability and operations

Structured logging, distributed tracing, error tracking, uptime monitoring, wired into the tools your SRE team already watches. Runbooks for the failure modes that actually happen, not a generic on-call doc copied from somewhere else.