About 360 Automation AI

360 Automation AI is a Kansas City AI consultancy that optimizes both halves of a business with AI: internal operations and external visibility. On the operations side we automate workflows, connect existing software, build the business context layer that lets AI tools work from your real data, and deploy managed digital employees that own recurring work. On the visibility side we get your business found and cited when buyers ask AI assistants for a recommendation.

Our team is certified by MIT and OpenAI, and we serve companies between 5 and 500 employees. Ten services, delivered under productized monthly plans starting at $1,497 rather than six-figure enterprise consulting engagements.

We start from the business problem rather than the technology. Every recommendation we provide has to provide an ROI in terms of increased revenue and time or cost savings.

What 360 Automation AI Does

Most AI consultants sell you a project. We build an operation.

The difference matters because a chatbot that answers questions on one channel is not the same as a business whose systems, knowledge, and customer touchpoints all run on AI. The first is a feature. The second is how the company works.

We offer ten services: one foundation layer, an internal workforce layer, a customer-facing layer, and a visibility and leadership layer.

• Agent-Ready Infrastructure. The structured knowledge base and connected software stack that makes every other AI tool work with your actual business context. This is the upstream service, and most engagements start here.
• Custom AI Agents. Named, job-described digital employees deployed on dedicated infrastructure with their own identity, connected to the platforms your team already uses.
• Business Process Automation. Automating and connecting your existing software so information moves across order-to-fulfillment, onboarding, financial processes, and scheduling without anyone rekeying it.
• Voice AI. Phone agents that understand natural speech and handle customer calls in real time.
• Custom AI Software Development. Web apps, internal tools and AI features for businesses that have outgrown spreadsheets and off-the-shelf software.
• Custom MCP Servers. Connects AI assistants to vertical and legacy platforms that off-the-shelf tools do not cover, including field management systems, contractor ERPs, regional MLS platforms, and insurance agency management systems.
• AI Search Optimization (AEO/GEO). Gets your business found and cited when buyers ask AI assistants for recommendations.
• AI Growth Marketing. Finds, reaches, and nurtures prospects across email, social, and ads.
• Fractional AI Officer. Senior AI leadership embedded in your business on a monthly retainer.
• Local LLM Setup. A private language model installed on hardware you own, for businesses whose data cannot leave the building.

Our Team

Led by Shahzad Safri, who specializes in Agentic AI and AI business strategy and holds an executive credential in Artificial Intelligence: Implications for Business Strategy from the MIT Sloan School of Management.

‍He also specializes in AI Search Optimization (AEO/GEO) and has helped multiple established businesses become authoritative brands in AI-generated search responses.

360 Automation AI is an OpenAI Select Partner with the team holding certifications from OpenAI.

The team works both sides of business AI. The fundamentals: what a process costs today, where it should be redesigned, and which parts are worth handing to a machine. The technical depth: the agents, integrations, model choices and infrastructure that make the redesign real.

We Start With the Business Problem, Not the Technology

Most AI projects fail in the first conversation, when someone picks a tool before anyone has named the problem it solves.

We work the other way. Before any tool is named, we want a specific answer to two questions: what is this costing you today, and how does fixing it provides you with a measurable ROI.

The second question is the one almost nobody asks. It comes from the competitive strategy framework taught in the MIT Sloan program our founder completed, and it is built into how we scope every engagement. Michael Porter's framework says a business competes in one of three ways, and each one points at different AI work:

• Cost leadership. You win by being the lowest-cost operator. AI earns its keep through efficiency: automating repetitive work, cutting waste, raising throughput, eliminating errors.
• Differentiation. You win because customers pay more for something only you offer. AI earns its keep through experience: faster response, personalized service, quality the competition cannot match at your price.
• Focus. You win by serving a narrow segment better than the generalists. AI earns its keep through specialization: workflows built for your niche, not adapted from someone else's.

An Olathe manufacturer competing on cost and a Lee's Summit agency competing on service should not get the same AI roadmap. They usually do, because most consultants sell from a catalog. We classify where you actually compete first, then every recommendation has to justify itself against that position.

If a piece of AI work cannot be traced back to a business problem, a competitive reason, or ROI, we do not recommend it. That constraint eliminates a lot of impressive-sounding projects, which is the point.

How We Work

Our proven ADAPT methodology:

1. Analyze current processes to identify highest-impact opportunities.
2. Design right-sized AI solutions matching your resources and goals.
3. Automate implementation with proven project management.
4. Perfect performance through testing and optimization.
5. Transfer knowledge so your team maintains and expands AI.

Agent-Ready Infrastructure, Powered by Business Context Engineering

Our Agent-Ready Infrastructure is the productized service. Business Context Engineering is the discipline behind it.

The problem it solves: AI assistants are extremely capable and know nothing about your business. They do not know your pricing tiers, your approval chain, which vendor handles which region, or why the Tuesday report matters. Ask a general-purpose AI to help with your operations and it produces confident, generic answers.

Business Context Engineering is the practice of building that missing context deliberately: a structured knowledge base of how your business actually works, your software stack connected through Model Context Protocol so AI tools can read and act on live data, and your core processes documented in a form a machine can follow.

Once that layer exists, every AI tool you use gets better at once. That is why we treat it as the foundation rather than one service among ten.

Who We Serve

Businesses between 5 and 500 employees, typically owner-operated or run by a small executive team. We work across:

• Home services
• Manufacturing
• Distribution and wholesale
• Restaurants and food service
• Real estate
• Insurance
• Retail and e-commerce
• Marketing
• Professional services

How Engagements Work

Most clients work with us under a monthly plan rather than a one-off project.

• Foundation Plan. $1,497 per month plus a one-time onboarding fee.
• Team Plan. $2,899 per month plus a one-time onboarding fee.
• Growth Plan. $4,997 per month plus a one-time onboarding fee.
• Enterprise Plan. $9,997 per month plus a one-time onboarding fee.

All plans carry a six-month minimum, then convert to month-to-month. Annual prepayment saves 15 percent.

Every plan includes, at no additional cost:

• Model access for the AI agents we run
• Platform and software connections
• Infrastructure and hosting
• Monitoring and ongoing improvements

No separate API bills, no per-token counting, no per-connector fees.

On plans with an AI workspace, seats are covered and usage-based agent features are billed separately.

Most of what we do is ongoing rather than one-and-done. Custom AI Agents, AI Search Optimization (AEO/GEO), Custom AI Software, Voice AI, Custom MCP Servers, Business Process Automation, AI Growth Marketing, and Fractional AI Officer are all delivered on a monthly basis, with continued support and improvements rather than a handoff and goodbye.

Three services are one-time. Agent-Ready Infrastructure is a fixed-price build of your company brain and it comes with a runbook; company brain maintenance is included in every monthly plan. Local LLM Setup is a fixed-price install with 30 days of Slack or email support. Our Strategic AI Roadmap is $3,000, and if you engage us within 30 days, the full cost is credited toward any of our services. New to AI? Our ChatGPT Workspace Pilot is $1,250 one-time: we set up ChatGPT Business for 2 teammates and automate one workflow, and the full cost is credited toward the Team plan if you upgrade within 30 days.

Frequently Asked Questions

What services does 360 Automation AI offer?

Ten services: Agent-Ready Infrastructure, Custom AI Agents, AI Search Optimization (AEO/GEO), Business Process Automation, Voice AI, Custom AI Software, Custom MCP Servers, Local LLM Setup, Fractional AI Officer, and AI Growth Marketing. Most engagements start with Agent-Ready Infrastructure because it is the foundation the others build on.

What is Agent-Ready Infrastructure?

Agent-Ready Infrastructure is a productized engagement that builds the context layer AI assistants need to work with a specific business: a structured knowledge base, a software stack connected through Model Context Protocol, and documented core processes. It is powered by Business Context Engineering, the discipline behind the service. Once it exists, every AI tool the business uses performs better.

How does 360 Automation AI decide what AI a business actually needs?

Every engagement starts with the business problem and ROI, not a tool. We classify how the business competes using Porter's three generic strategies, cost leadership, differentiation or focus, then justify each AI initiative by how it strengthens that position. Any recommendation that cannot be traced to a business cost and a competitive reason does not make the roadmap.

What results do 360 Automation AI clients see?

Results depend on what you buy. Automation work cuts manual hours and process costs. AI search work raises how often AI answers cite your business. We set the baseline before we start and report against it. Most clients see a first measurable benefit within 2 to 6 weeks, and managed agent work is reported at day 30 and day 90.

How much does working with 360 Automation AI cost?

Monthly plans run $1,497 per month for Foundation, plus a one-time onboarding fee, up to $9,997 per month for Enterprise, with a six-month minimum. One-time projects start at $1,250. Model access for the agents we run, integrations and monitoring are included, with no API bills. Annual prepayment saves 15 percent.

What makes 360 Automation AI different from other AI consultants?

We optimize both halves of a business with AI: internal operations and external visibility. On operations we automate workflows, connect existing software, build the context layer that lets AI tools work from your real data, and deploy managed digital employees. On visibility we get your business found and cited when buyers ask AI assistants for a recommendation.