The most resourceful teams use Mainstreet AI to tackle the work that matters.

Mainstreet deploys powerful AI tools that work with the systems, documents, permissions, and workflows that drive your business.

Built for lean operational businesses, with specialized solutions for equipment dealerships.

Your platform, learning your businesscontinuously
Parts - Store 2"What did we quote the Hendersons for the service package on their 8R tractor?"
observeslearns your businessimproves
Your platformQuoted $2,340 on May 14 - full 8R service package, fluids, filters and inspection included.
Quote #4471Service pricing v3
01 - Product stack

Three products. Your own AI system.

Enterprise AI Chat gives people a company-wide AI workspace. Knowledge Layer turns core business data into fast answers, deeper analytics, and managed reports. Agents keep repeatable work moving.

02

Knowledge Layer

Core business data

Your core business data, documents, reports, and operating context organized so AI can answer operational questions, run in-depth analysis, and produce managed reports.

Step 01
Ask from the live business context.

Get sourced answers from the current state of the business.

Knowledge Layer sourced parts sales report in Enterprise AI Chat with approved data source indicators.
Compare stores, cite approved sources, and bring the answer back into the chat workflow.

Turn business data into answers, analysis, and managed reports.

Knowledge Layer gives AI the context it needs to work with the real state of the business: current data, approved sources, operating rules, and reusable report logic. People get quick answers, deeper analysis, and managed reports from the same trusted layer.

Start from the latest business stateQuestions can begin with current approved data, reports, and source packages instead of scattered files, stale exports, or someone re-explaining the business.
Package repeatable reportsA useful analysis can become a managed report, source package, or reference point other teams can revisit and build from.
Make every other layer smarterEnterprise AI Chat and agents can work from the same business data and report context instead of isolated uploads and one-off prompt histories.
03

Personal & Team Agents

Repeatable work

Repeatable AI workflows for recurring operational work across people, teams, stores, and departments, packaged through scoped platform and business-line implementations.

Turn useful patterns into repeatable work.

Agents are what happens when a useful workflow deserves to be run again. They inherit the same environment, tools, rules, and business context, then carry work forward for a person, team, store, or department.

Start with work people already repeatThe first agents should come from real recurring tasks: follow-ups, research, reviews, summaries, checks, and handoffs.
Give the agent the right contextBecause the platform already has chat, files, tools, and Knowledge Layer context, agents can operate with the same foundation as the team.
Improve the workflow over timeTeams can review what happened, adjust instructions, and keep the useful pattern running without rebuilding it from scratch.
04

Business-Line Solutions

Load-bearing work

AI systems for the functions where business outcomes are measured: service, parts, sales, warranty, precision, administration, operations, or other load-bearing work.

Bring AI into the workflows where ROI is measured.

Business-Line Solutions take the shared platform into the places where outcomes are measured: service, sales, parts, warranty, precision, administration, operations, or any function where better decisions and less friction show up in the business.

Start with a real bottleneckThe work begins where teams already lose time, miss context, repeat analysis, or make decisions without the full picture.
Build around existing operationsSolutions use the same chat, knowledge, rules, and agents while fitting the systems and habits already running the business.
Package what proves itselfAs a workflow proves useful, it can become a repeatable solution for a business line instead of a one-off experiment.
02 - Pricing

AI pricing that scales with value, not headcount.

Give the whole company access without buying a seat for every employee before usage is clear.

No per-seat license sprawl. Mainstreet subscriptions cover the platform, while hosting, model, token, storage, and search usage stays visible in your own accounts with no Mainstreet markup. As adoption grows, you can see which workflows are actually paying back.

ItemScopeInvoicedPrice
Standalone subscriptions
Enterprise AI Chat subscriptionOrganization-wide license and subscription access to the private AI chat surface, without per-seat license fees.From launch - monthly$1,500 / mo
Knowledge Layer subscriptionSubscription coverage for governed business context, retrieval, source organization, and knowledge-layer surfaces.From launch - monthly$1,000 / mo
Agents subscriptionFlat monthly subscription coverage for personal and team agents; not priced per agent.From launch - monthly$1,000 / mo
AI Platform bundleBundle Enterprise AI Chat, Knowledge Layer, and Agents subscription coverage together.From launch - monthly$2,500 / mo
One-time costs
Enterprise AI Chat implementationSecure setup in your own cloud tenancy, feature configuration, users and permissions, approved sources, and launch readiness.Month 1 - once$10,000
Knowledge Layer implementationInitial source mapping, business context setup, retrieval design, access patterns, and first useful knowledge workflows.OnceFrom $10,000
Agents implementationInitial agent/workflow setup, instructions, tool access, testing, and handoff for useful personal or team agents.OnceFrom $5,000
Optional launch trainingRemote or in-person first-user training on your real work, with launch support when hands-on enablement is useful.Optional - once$5,000 remote$10,000 in person
Optional ongoing services
Managed servicesSupport, improvement, enablement, evaluations, governance, and roadmap work across Enterprise AI Chat, Knowledge Layer, Agents, and later platform layers.Monthly when selected$5,000 / mo
Packaged separately
Business-Line SolutionsOperational systems for a specific line of business, scoped by workflow depth, integrations, risk, and packaging.Scoped packagePackaged separately
Client-paid usage costsHosting, model and token usage, storage, search/vector storage, and related cloud costs are paid by you directly to your providers. No markup, no reselling, full visibility.
Bundle or standaloneStandalone subscriptions show the economics of each layer; the AI Platform bundle covers all three subscriptions together for $2,500 per month.
03 - Where we work

Built for lean operational businesses. Deeply focused on equipment dealerships.

Mainstreet AI is designed for businesses where important work depends on people, systems, documents, customer context, store-level habits, and operational judgment.

Flagship market

AI for equipment dealerships

For dealerships, AI has to work where the business already happens: service, parts, sales, precision, warranty, administration, and multi-store operations. This is our deepest current focus because the ROI can show up across the whole operating model.

Referenced in dealer-industry coverage of practical AI adoption.

ServicePartsSalesPrecisionWarrantyAdministrationMulti-store operations

Agricultural companies

Field context, customer knowledge, reports, documents, and decisions that need to move across people and locations.

Multi-location operators

Businesses where knowledge, decisions, handoffs, and best practices need to travel across stores, branches, or teams.

Service-heavy businesses

Companies where service, support, parts, field work, customer context, and operational judgment drive the value.

Knowledge-heavy operations

Businesses with complex internal documents, policies, reports, workflows, and recurring questions people keep re-answering.

Ryan Rosztoczy, founder of Mainstreet AIA steady partner for a fast-moving fieldRyan Rosztoczy

Founder, Mainstreet AI · Denver, Colorado

AI is a critically important technology for your business to harness. You need a partner who can bring it into your business safely, keep it grounded in real work, and make sure the value accrues to you.

Mainstreet AI is built for companies that want AI to be useful, controlled, and worth the investment. We deploy practical systems inside the environment you already run, connect them to the context that matters, and keep improving them as the technology changes.

Founder-led means the work stays close to the customer: clear judgment, careful implementation, direct accountability, and a bias toward value over hype.

04 - Common questions

The things buyers ask first.

Where does our data live, and who can see it?

In your existing controlled environment. We do not ask you to move your operating knowledge into a disconnected AI platform. We access your environment only as needed to set up, support, and improve the system, with least-privilege access and MFA, and you control approvals, permissions, and usage.

What happens if we pause managed services?

Your platform subscriptions can continue separately. If managed services pause, support, updates, monitoring, evaluations, enablement, and roadmap work pause too, and we provide a scoped transition handoff. If subscriptions end as well, we plan export and offboarding so access winds down cleanly.

Do we need an internal AI or software team to make this work?

No. Most of our clients have a capable IT team and no software team - that's exactly the gap we fill. We are your software team: we build, monitor, update, evaluate, and train. Your IT keeps doing what it already does well - accounts, access, and security approvals - and we work inside the guardrails they set. Beyond that, all we need is a point of contact and people willing to put AI to work on their actual jobs.

How fast can we go live?

The first phase typically goes live in weeks, not months. The honest variables are on your side of the fence: access approvals, security sign-off, and data-source availability. We set target dates at kickoff and define go-live concretely - your initial users in, your initial use cases working.

How is this priced as we add users?

It isn't priced seat by seat. Enterprise AI Chat and the AI Platform bundle cover organization-wide access, and the Agents subscription is a flat monthly subscription rather than a per-agent fee. Hosting, tokens, storage, and cloud usage scale with actual use and are paid directly to your providers with full visibility.

Can it talk to our customers?

Not by default - and that's deliberate. The platform is for your internal teams first, where value is proven and quality is measured. Customer-facing AI is a separately scoped step with its own safeguards, taken when you're ready, not on day one.

What does the first conversation look like?

Thirty minutes, no deck. Bring one workflow, department, or recurring bottleneck. We'll map where AI could create value first, what systems and context it would need, what the first phase would look like, and what it would cost.

See where AI can start compounding inside your business.

Bring one workflow, one department, or one recurring bottleneck. We will help identify where AI can create value first, what systems and context it would need, and what a practical first phase could look like.

No prep required - bring a workflow, a business question, or just the problem you want solved.