Monthly Plans and Two New Services Now Offered by 360 Automation AI in 2026

Quick Answer

360 Automation AI now offers three new productized entry points for Kansas City businesses in 2026:

• Local LLM Setup is a $4,997 one-time, two-week install of a private large language model on hardware you provide. Your data never leaves your building. Best for privacy-sensitive industries and operators who want to own their AI outright instead of renting it.
• Agent-Ready Infrastructure is a productized build that gives any AI tool deep, structured context about your business. Three tiers from $3,497 to $9,997, delivered in two to four weeks. Best for owners who want their existing AI tools to actually perform.
• Monthly Plans bundle the infrastructure, the digital workforce, the visibility layer, the customer-facing channels, and the strategy under one fixed monthly number. Three tiers from $1,497 to $9,997 per month, with a six-month minimum and 15% savings on annual prepay.

The three options are not in competition with each other. Each one solves a different starting problem.

If you run a Kansas City business and have been waiting for the right moment to put AI to work, 360 Automation AI now offers three distinct ways to get started. Each is built for a different starting point: a one-time private AI install on hardware you own, a productized infrastructure build that makes any AI tool perform like a senior employee, and a fully managed monthly plan that runs your entire AI operation for you.

This article explains what each option is, who it fits, what it costs, and how to pick the one that matches your business today.

What Is Local LLM Setup And Who Is It For?

Local LLM Setup is a fixed-price, two-week engagement that installs a private large language model on hardware your business owns. The model, the inference layer, the web interface, and one integration all run inside your firewall. Every prompt, every response, and every uploaded document stays on your hardware.

What you get for $4,997, delivered in two weeks:

• Hardware specification, so you know exactly what to buy before we install anything.
• One modern open-weights model deployed and tested, picked during discovery (DeepSeek V4, Kimi K2.6, or Mistral Large 3 at the frontier; Gemma 4 or Qwen3 for the SMB sweet spot; Phi-4 for smaller workloads).
• Ollama or vLLM as the inference layer, depending on how many users and how much throughput you need.
• Open WebUI installed so non-technical employees can chat with the AI without a command line.
• Security baseline (firewall, authentication on the web interface, HTTPS where supported).
• One integration with an existing tool you already use.
• A written runbook covering restart, model updates, and troubleshooting.
• A 90-minute handoff walkthrough with your operator or IT contact.
• 30 days of email support for clarifications on what we built.

A note on what these models can actually do. As of May 2026, the top open-weights models trail closed frontier models by roughly eight months on most benchmarks, and the gap narrows every release cycle. For the work most businesses actually do (summarization, classification, drafting, internal question-and-answer, structured data extraction, customer-facing chat), a modern open-weights model performs at or near frontier level. The remaining gap shows up only at the bleeding edge of multi-step reasoning and agentic coding. If your use case lives there, we will say so in the consultation and recommend a hybrid approach.

You'll know Local LLM Setup is right for you if: You handle data you do not want crossing the public internet, you are tired of unpredictable per-token bills, or you want to own your AI rather than rent it from a vendor who can change the terms tomorrow.

What Is Agent-Ready Infrastructure And Why Does Every AI Investment Need It?

Agent-Ready Infrastructure is a productized build that gives any AI tool deep, structured knowledge about your specific business so it performs like a senior employee on day one.

The service is the productized delivery of a methodology we call Business Context Engineering: the structured discipline of capturing, organizing, and connecting everything an AI system needs to know about a specific business. It combines three things: knowledge architecture, context structuring, and Model Context Protocol (MCP) connectivity. The compounding-knowledge-base pattern at the heart of it was made popular by Andrej Karpathy, one of the most respected voices in AI. We productized that pattern for Kansas City SMBs, added Model Context Protocol connectivity, and refined it through every engagement we deliver.

Agent-Ready Infrastructure delivers three things in one engagement:

• A structured knowledge base. Everything an AI needs to know about your business, captured from documents, spreadsheets, scanned files, and recorded audio or video, organized into a single machine-readable foundation any current or future AI tool can read instantly.
• A connected software stack. Your existing platforms (CRM, email, scheduling, accounting, marketing tools) wired into a unified context layer using Model Context Protocol, the open standard for connecting AI to business systems. Every connected tool draws from the same source of truth.
• A working demonstration. Before we hand off, we sit down with you and query your infrastructure live. You see ChatGPT, Claude, or any AI tool you choose pull accurate, contextual information about your business in real time.

The three tiers and what they include:

Starter Build: $3,497, delivered in 2 weeks. For solo operators and small teams. Captures up to 30 context files, connects up to 5 platforms via Model Context Protocol, and documents up to 3 business processes.

Professional Build: $4,997, delivered in 3 weeks. For multi-department SMBs. Scales most of that up (up to 75 files, up to 7 platforms, up to 7 processes).

Enterprise Build: $9,997, delivered in 4 weeks. For established SMBs, multi-location, or planning a full digital workforce deployment. Scales further (up to 150 files, up to 12 platforms, up to 12 processes) and includes up to 2 custom Model Context Protocol servers development for proprietary systems, plus a strategic roadmap with a digital workforce blueprint.

You'll know Agent-Ready Infrastructure is right for you if: Your last AI project underperformed, your team copy-pastes context into prompts all day, your software tools do not talk to each other, or you want one foundation that makes every AI tool you adopt (now and later) more useful from day one.

What Are The Monthly Plans And When Do They Replace Buying Services One At A Time?

The Monthly Plans bundle infrastructure, digital employees, AI search visibility, customer-facing channels, workflow automation, and ongoing strategy into one fixed monthly number. Three tiers, six-month minimum, 15% savings on annual prepay. They are for Kansas City businesses that want one provider running their entire AI operation rather than buying services one project at a time.

The three plans:

• Foundation: $1,497 per month, plus a $3,497 onboarding fee. One fully managed AI agent, named and job-described. AEO/GEO and customer-facing channels are not included. Best for businesses that want to automate one specific role and prove the value before expanding.
• Scale: $4,997 per month, plus a $4,997 onboarding fee. (Most popular.) A managed AI workforce of up to 5 custom agents. AEO/GEO Pro is included, plus your choice of a fully managed chatbot or Voice AI. Best for businesses that want a real AI workforce plus the visibility and customer-facing channels around it.
• Enterprise: $9,997 per month, plus a $9,997 onboarding fee. A multi-agent workforce with subagent orchestration enabled, so senior agents delegate to specialist subagents for parallel work. AEO/GEO Pro is included, plus both chatbot and Voice AI fully built and managed. Enterprise adds up to one new Custom MCP Server per quarter (with ongoing maintenance of every server in your deployment), up to two new automated workflows per month, and a monthly Strategic AI Consultation with our MIT Sloan-certified founder. Best for established Kansas City businesses that want category dominance, dedicated infrastructure, and founder-level access.

Every plan begins with an Agent-Ready Infrastructure build during month one (Starter, Professional, or Enterprise tier matched to your plan) and rolls into a monthly retainer that bundles model access, software connections, dedicated agent inboxes, continuous monitoring, automatic recovery, and a monthly strategy call. There are no separate API bills. No token counting. No per-connector fees.

Scale and Enterprise add the visibility layer. AEO/GEO Pro is included on both, meaning we publish the right slices of your business context in the right formats so your business shows up in ChatGPT, Perplexity, and Google AI Overviews.

The annual prepay math. Pay 12 months upfront and save 15%.

• Foundation annual prepay is $15,269, a savings of $2,695 over the standard $1,497 per month.
• Scale annual prepay is $50,969, a savings of $8,995 over the standard $4,997 per month.
• Enterprise annual prepay is $101,969, a savings of $17,995 over the standard $9,997 per month.

The 15% discount applies to the 12-month retainer total only. The onboarding fee is paid separately at the start of engagement.

You'll know the Monthly Plans are right for you if: You want one provider handling your digital workforce, your AI search visibility, your customer-facing channels, and your ongoing strategy under a single monthly number, and you would rather invest in steady operational rhythm than in a series of one-off projects.

How Do You Pick The Right Starting Point?

The right starting point depends on whether you need privacy, performance, or a full operating system. They solve different starting problems for different kinds of operators.

Match your starting problem to the right entry point.

Start with Local LLM Setup if:

• You cannot send your data to a cloud AI vendor for privacy or contractual reasons.
• Your cloud AI bills are unpredictable and growing every month.
• You are in healthcare, legal, accounting, or financial services and your clients expect sensitive data to stay in-house.

Start with Agent-Ready Infrastructure if:

• Your existing AI tools do not know anything about your business and you want every prompt to start with full context.
• You want to deploy digital employees later but the foundation is not in place yet.

Start with a Monthly Plan if:

• You want one provider running your entire AI operation rather than buying services one project at a time.
• You want to show up in ChatGPT, Perplexity, and Google AI Overviews when customers search (Scale or Enterprise).
• You want a dedicated AI partner with founder-level strategic access (Enterprise).

The three options also stack. Many Local LLM Setup clients pair their private model with Agent-Ready Infrastructure, so their structured business knowledge and their private LLM both run on infrastructure they control. Every Monthly Plan begins with an Agent-Ready Infrastructure build, so the foundation comes with the engagement.

Our framing is Build, Deploy, Optimize. Build Agent-Ready Infrastructure. Deploy digital employees on top of it. Optimize for answer engines from it. The Monthly Plans bundle all three. Local LLM Setup runs alongside any of them when privacy is the constraint.

Frequently Asked Questions

What is Business Context Engineering?

Business Context Engineering is the structured discipline of capturing, organizing, and connecting everything an AI system needs to know about a specific business so any AI tool can perform like an experienced employee on day one. It combines knowledge architecture, context structuring, and Model Context Protocol connectivity. 360 Automation AI delivers it as Agent-Ready Infrastructure.

Can I really run a local AI in 2026 and have it perform well?

Yes, for the work most businesses actually do. Frontier-class open-weights models like DeepSeek V4, Kimi K2.6, and Mistral Large 3 perform at or near cloud-frontier level on summarization, classification, drafting, internal question-and-answer, and structured data extraction. The remaining gap shows up only at the edge of multi-step reasoning and bleeding-edge agentic coding.

What happens after the six-month minimum on a Monthly Plan?

You are on a month-to-month basis after month six. Cancel anytime with 30 days notice. The six-month minimum exists so we can deliver the onboarding build and get your AI workforce into a steady operational rhythm before you make a longer commitment. There is no lock-in past the initial commitment.

What industries does 360 Automation AI serve?

Kansas City metro SMBs in marketing, home services, manufacturing, distribution, wholesale, real estate, insurance, retail, e-commerce, and professional services. Healthcare with protected health information, financial services with regulated account data, and legal practices with privileged matters are excluded from Agent-Ready Infrastructure and the Monthly Plans. Local LLM Setup is the documented exception because sensitive data stays on-premise.

Can I start with one service and add the others later?

Yes. The three entry points compound. A common path is Agent-Ready Infrastructure first to build the foundation, then a Monthly Plan to operationalize the digital workforce on top of it. Local LLM Setup can be added at any time, and your private model can serve as the inference layer for any agents you deploy later.

Where To Start

Every engagement begins the same way: a free 30-minute consultation. We walk through your current operation, your software stack, the work you want to automate, and your data sensitivity constraints. You leave the call knowing exactly which option fits your business, and what the next 30 days could realistically deliver.

The consultation is free. The recommendations are honest. The decision is yours.

Book your free 30-minute consultation: Schedule a call
Phone: (816) 466-5846
Email: [email protected]
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Kansas City's leading AI consultants. MIT-certified strategy. Local delivery.