Web Accessibility for AI/ML Products | Farflow

Whether you operate locally or globally, AI/ML Products changes constraints. The playbook below adapts web accessibility to those constraints without duplicating generic agency fluff.

How we typically work

1. Align on outcomes for AI/ML Products (not just deliverables).
2. Map the current system: content, templates, routing, data, and crawl paths.
3. Ship in milestones with reviews—so web accessibility improvements compound safely.
4. Harden with monitoring, documentation, and internal linking patterns that scale.

Context snapshot

Service focus: Web Accessibility

Primary lens (industry): AI/ML Products

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 AI/ML Products, we bias toward unique intros, varied section emphasis, and FAQ patterns that reflect real objections—not copy-paste blocks.

Measurement that matters

We anchor work to a small set of metrics—often including Core Web Vitals, Organic sessions, Conversion rate—so improvements stay accountable for AI/ML Products.

What you can expect

Typical deliverables for Web Accessibility in this context include:

• Architecture notes
• Component/template plan
• SEO guardrails

Frequently asked questions

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.

Can you help after launch?

We offer retainers for SEO systems, performance work, and iterative shipping so results compound.

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.

How is Web Accessibility scoped for AI/ML Products?

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.

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.