Answers, in one place.

Livingry Services is an independent, AI-native implementation practice that designs and installs growth, workflow, knowledge, and discovery systems inside established businesses. We are based in Lecanto, Florida.

We sell implementation. Our engagements produce working response, recovery, continuity, discovery, knowledge, or workflow systems installed inside the client’s existing tools — not slide decks, strategy memos, or software subscriptions.

Established U.S. HVAC/R companies are our active implementation focus. Roofing companies are a planned expansion once the Revenue Continuity System is battle-tested in HVAC.

Lecanto, Florida. We work with clients across the United States remotely, with occasional on-site engagements where the work justifies travel.

Yes. Livingry Services is an independent practice, built and delivered by its founder.

Email ov@livingry.services or submit the System Review form on this website. We reply within one business day.

A five-step method: Find what is leaking, Trace where it leaks, Seal the highest-value gap with the smallest useful system, Verify the leak is closing under real conditions, and Keep the business stronger by documenting the system and preserving client control.

Any place where a business loses customers, opportunities, knowledge, or trust it has already worked to earn. Common leaks include missed calls, cold estimates, forgotten past customers, unclear website information, disorganized intake, and tribal knowledge stuck in individual people.

A structured first conversation and observation of your website, response paths, CRM records, customer journey, discovery presence, and internal knowledge. The outcome is a written identification of the highest-value leak, why it occurs, the smallest practical fix, and the evidence that would show whether it is closing.

The conversation itself is typically 60–90 minutes. The written review is delivered within one to two weeks depending on scope.

Yes, at the initial fit stage. We do not charge for the first System Review because we would rather turn down engagements we cannot help than charge for a report you do not use.

A fixed-scope, time-boxed implementation engagement that closes one specific leak — most commonly missed-call recovery, estimate follow-through, or a Discovery & Trust rebuild. Pricing is quoted after the System Review.

AI drafts, routes, summarizes, and prepares work for humans. Humans commit anything a customer, client, or patient will read as a promise. That boundary is written into every implementation.

Only where clearly disclosed and appropriately supervised. In most implementations, AI is invisible to the customer — it prepares information, suggests responses, and routes work — while your team owns the actual communication.

A chatbot is a narrow tactic, not a system. We include AI-assisted conversation where it demonstrably helps, but always as part of a broader Response, Recovery, or Discovery system with clear ownership and boundaries.

We will not invent facts, storm damage, urgency, or eligibility. We will not contact customers who have not opted in. We will not automate decisions that require professional judgment. We will not run any workflow whose behavior we cannot fully describe.

We are model-agnostic and stack-agnostic. Depending on the workflow, privacy requirements, and cost profile, we use frontier hosted models, self-hosted open models, or hybrid setups. We choose the smallest tool that reliably solves the leak.

Into the tools you already use — your CRM, your inbox, your calendar — plus, where necessary, an approved AI provider. We document every data flow and, in governed pilots, we design around explicit privacy, retention, and jurisdiction constraints.

Agent discovery is the practice of making a business easy for AI answer engines, agents, and modern search tools to find, describe accurately, and recommend appropriately. It overlaps with SEO but focuses on facts, evidence, and verifiability rather than keyword ranking.

No. Be skeptical of anyone who promises they can. We can make your business significantly easier for answer engines to describe accurately and prefer where the evidence supports it — but we do not control any AI system’s output.

Traditional SEO optimizes for a search engine ranking a page. Discovery & Trust optimizes for the whole path from ‘a person or agent asks about a business like yours’ to ‘you are described accurately and chosen appropriately.’ That means clearer facts, verifiable evidence, machine-readable structure, and monitoring what AI systems actually say about you.

An emerging convention that publishes a machine-readable map of a website’s key facts and pages for AI crawlers. This site publishes both /llms.txt and /llms-full.txt so agents can find canonical facts about Livingry Services quickly.

Yes, on every page. Organization, Service, FAQPage, BreadcrumbList, and HowTo schema are used where appropriate to help both search engines and AI systems parse offerings and facts accurately.

HVAC/R is our active implementation focus — the vertical where our systems are built and battle-tested. Roofing is a planned expansion and is not yet enrolling.

Yes, as a founding partner. We are opening a small number of roofing implementations to harden the Roofing AI Growth System with real-world data. Founding partners get preferred pricing and a heavier hand in shaping the product.

Reach out. We prioritize verticals where established, useful businesses lose earned value in ways our systems demonstrably close. If we are not the right fit, we will say so clearly.

Most engagements begin with a free System Review. Implementation follows either as a fixed-scope Revenue Recovery Sprint or as a monthly implementation retainer. Pricing is quoted after the System Review, once we know which gap is worth closing first.

You do. Content, workflows, integrations, and data live in tools you own. If our relationship ends, the systems keep running without us.

You keep everything. We hand off documentation, ownership, and access, and remove ourselves from any accounts we were added to. There are no exit fees or ransomed configurations.

Yes, routinely, before any baseline extraction or records review.

System Reviews are typically scheduled within one to two weeks. Sprint-scope implementations begin within four to six weeks of a signed agreement, depending on integrations and content-review requirements.