02 — AI & Automation

AI that earns its place in the stack.

Visibility in the new search surfaces. Automation across the work nobody enjoys. Product features that use models because they actually help — not because the board asked.

The work

What we build

Four practices, one operator. Pick one or stitch them together — most engagements start with an audit and a single concrete shipment within a month.

AI visibility & discoverability

Be the answer when ChatGPT, Perplexity, and Gemini are asked about your category.

  • Brand & entity audits across major LLMs
  • Schema, content, and citation engineering
  • Tracking that shows what changed and why

AI-assisted content & ops

Models in the loop where they speed up real work — drafting, classification, summarization.

  • Custom prompts and evaluation harnesses
  • Internal tools your team will actually use
  • Guardrails, review, and audit trail

Workflow automation

Replace recurring manual work with simple, observable pipelines.

  • Scheduled jobs and event-driven flows
  • Connected to your CRM, store, or warehouse
  • Human-in-the-loop where it matters

Custom AI features

Search, recommendations, chat, and copilots embedded in your product.

  • RAG over your own data, with citations
  • Streaming UX, fallbacks, cost controls
  • Evaluation and regression testing
How we work

Audit → Prototype → Ship → Measure

01
Audit

We look at what you have, what's working, and where AI actually adds leverage — not where it just looks good in a deck.

02
Prototype

A small, real thing in front of users within two weeks. No 90-day discovery.

03
Ship

Production-grade rollout with monitoring, evals, and a kill switch. We don't ship demos.

04
Measure

Hours saved, conversions earned, citations won. We instrument it before we celebrate it.

Related

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