LLM-assisted marketing operations.

"AI" is not the deliverable. The system is.

Most "AI marketing" pitches sell you a model. The model is the cheapest part of the stack. The expensive parts are the prompts, the retrieval layer, the brand-voice corpus, the QA loop, the kill switch, and — most of all — the operator deciding what is allowed to ship to a real customer without a human glancing at it first.

If your "AI marketing" doesn't have a clear answer to "who reviews this output, and how often?" — it is not an operation. It is a demo.

What the engagement actually delivers.

1. Brand voice corpus. 30–50 pages of your best historical writing, structured for retrieval. Every model output is grounded in this corpus, not in the model's pretraining cliché.
2. Workflow library. 6–12 documented workflows with model, prompt, retrieval source, output format, review gate, and shipping channel. Not a Notion page of "prompt examples."
3. Lead reply automation. Inbound forms classified, routed, and replied to in under 5 minutes. Reply quality measured weekly against the human-only baseline.
4. Content production line. Briefs in, drafts out. Each draft tagged with sources, voice score, and required human-review depth before publish.
5. Quality dashboards. Output volume, human-edit rate, escalation rate, customer-reported error rate. Read weekly. Acted on monthly.
6. The kill switch. One toggle. You own it. We test it on the first Monday of every month.

Where this works.

• Inbound lead reply at clinics with high-form-volume.
• Programmatic SEO content production at scale (paired with the SEO engagement).
• Lifecycle email and SMS authoring.
• Review and reputation reply at multi-location businesses.
• Internal-facing reporting summaries that turn dashboards into prose your team will actually read.

What we don't do.

We don't ship unattended customer-facing voice agents on the phone. The technology is close; the liability for medical, legal, and high-ticket businesses is not. We don't promise "fully autonomous" operations. The whole point is supervised autonomy — leverage with a brake.