Custom RAG & AI Systems for Accessibility Gaps | Farflow

Whether you operate locally or globally, Accessibility Gaps changes constraints. The playbook below adapts custom rag & ai systems to those constraints without duplicating generic agency fluff.

How we typically work

1. Align on outcomes for Accessibility Gaps (not just deliverables).
2. Map the current system: content, templates, routing, data, and crawl paths.
3. Ship in milestones with reviews—so custom rag & ai systems improvements compound safely.
4. Harden with monitoring, documentation, and internal linking patterns that scale.

Context snapshot

Service focus: Custom RAG & AI Systems

Primary lens (problem focus): Accessibility Gaps

We treat this combination as a product problem: ship the smallest set of changes that moves the metric you care about, then iterate with instrumentation.

Risks we actively prevent

Thin templates, duplicate metadata, and “infinite URL” traps are common when scaling pages. For Accessibility Gaps, we bias toward unique intros, varied section emphasis, and FAQ patterns that reflect real objections—not copy-paste blocks.

What you can expect

Typical deliverables for Custom RAG & AI Systems in this context include:

• Architecture notes
• Component/template plan
• SEO guardrails

Measurement that matters

We anchor work to a small set of metrics—often including Support tickets, Organic sessions, Core Web Vitals—so improvements stay accountable for Accessibility Gaps.

Frequently asked questions

Which tools and stacks do you support?

We frequently work with Next.js, headless CMS, modern component systems, and common analytics stacks—scoped to what you already run.

How fast can we move?

Speed depends on access, approvals, and risk tolerance. We prioritize safe increments over risky big-bang releases.

What does a first engagement look like?

Usually a short discovery call, a written proposal with timeline and risks, then a kickoff workshop if we move forward.

How is Custom RAG & AI Systems scoped for Accessibility Gaps?

We start with discovery, define success metrics for that context, then propose phased milestones. Scope stays tied to outcomes—not a fixed feature laundry list.

Do you work with existing engineering teams?

Yes. We can embed with your team, review PRs, and document decisions so knowledge stays in your org.