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AI systems development: custom AI software for your business

Raileon designs, builds and runs custom AI systems for businesses. That means AI software that reads your documents, drafts your replies, sorts incoming requests and takes action in the tools you already use. A person approves what matters.

We start from the work, not the model. AI is one part of the system, and we use it only where a fixed rule can't do the job.

You don't need a fully formed AI plan. Bring one workflow that eats your team's week, and we'll show you what an AI system would do with it.

Konstantin, founder of Raileon

20 minutes with Konstantin, the founder.

You leave with the first 3 things to automate in your business, whether or not we work together.

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Why most AI projects never reach the work

AI demos are easy. Production is hard. Most businesses we talk to have already tried one of these:

  • A chatbot that answers questions but doesn't actually do anything.
  • A pilot that worked on clean examples and fell apart on real data.
  • Staff pasting confidential documents into a consumer chat app because nothing better was set up.
  • A tool that a freelancer built, launched and then left.

The pattern is the same each time. The AI was never wired into the systems where the work happens, nobody decided which steps a person must approve, and nobody owned it after launch. AI systems development fixes those three things before anything goes live.

What we build: custom AI solutions that do real work

  • Document understanding. Statements, contracts, forms and attachments are read, classified and turned into structured fields, then filed or routed to the right place.
  • Drafting assistants. Replies, summaries, follow-ups and proposals are written in your house style from your own documents, and held for approval before they go out.
  • AI Modules for multi-step work. A Module takes a request, gathers what it needs from your tools, prepares the action and stops for approval at every step that has consequences. A person stays in the loop; it is not an autopilot.
  • Knowledge assistants. Answers come from your own knowledge base, with the source shown, so your team stops searching shared drives.
  • Monitoring and reporting. The system watches your data and tools for changes and sends a summary of what needs attention.

Every system is connected to your existing systems: email, calendar, CRM, accounting, documents and messaging. Connecting AI to the software you already run is its own discipline; see AI integration services. When the job is mostly rules rather than judgment, plain business process automation is often the better tool, and we'll say so.

How we build AI systems you can trust

These practices come from our security page and our service terms. They are not promises made for this page.

  • Your own workspace. Each client's AI runs in its own isolated workspace, separated from every other customer.
  • Encrypted. Data is encrypted in transit and at rest.
  • No training on your data. Your business information is never used to train public AI models.
  • A person approves what matters. Anything customer-facing waits for your approval. Anything that spends money is confirmed with you by your team first.
  • Everything is logged. Every action appears in the activity feed in your dashboard, Mission Control.
  • Spend under control. You set a monthly AI budget. An always-on safety limit stops a runaway process. You can also connect your own AI provider account, and Raileon adds no markup.
  • Tested on your real examples. Before a system goes live, we run it against real cases from your business and adjust it until the output is right. We don't quote accuracy figures we haven't measured on your data.

What we run today

We run our own operations on these systems. Every one below is live today.

  • Lead follow-up for our own sales team

    Every inquiry from an online marketplace is logged and gets a drafted reply within minutes. A person approves each reply before it goes out, and follow-ups run on schedule.

  • A back office that runs itself

    Contacts from every company mailbox pulled into one list, automated senders removed, duplicates merged, and the rest split into call and email lists. One dashboard tracks every task.

  • Monitoring and reporting for a trading group

    A monitoring and reporting layer built on the systems the team already runs, so they see what changed and what needs attention without digging for it.

From idea to running system

StageWhat happensWhat you get
1. Book a callTell us the workflow and the tools involved.A 20-minute call on the calendar.
2. The 20-minute callWe walk through the work, the data and where judgment is needed.A view of which steps an AI system should take, and which should stay with a person.
3. Written proposalScope, approval rules, systems to connect and cost.Setup and monthly plan in writing.
4. Sign and pay onlineOne step, online.Your workspace.
5. Build, test, runWe connect your tools, test on your real examples, then switch on with approvals.A live AI system, an activity log, and a team that keeps it running and improving.

How pricing works

Monthly care starts from $1,999 a month, for managing the systems you have in place. New builds and upgrades are quoted separately: every system is scoped to your work.

  • The 20-minute call is free.
  • The written proposal shows any setup fee and the monthly plan.
  • AI usage is billed at the agreed rates, or through your own AI provider account with no Raileon markup.
  • Contracts run 12 months or quarterly, and your data is always yours to export.

For what drives the cost, read how much AI automation costs, or see how engagements work.

Want a smaller first step? The company-wide business audit scores twelve areas of your business against your top 3 local competitors. It's reviewed by a person and delivered within 2 business days, and it's $299 as a Halloween special until October 31.

AI systems development FAQ

It is designing and building AI software that does a specific job inside your business, such as reading documents, drafting replies or running multi-step tasks, connected to your tools, with approvals and logging. It also means keeping that software running after launch.

Yes. Those are other names for the same work. We build the system around your process and your data instead of selling a generic product.

Usually not. Most business systems run on documents, emails and records you already have. On the call we check what exists and tell you if a gap would block the use case.

We choose the model per task and test it on your examples. You can also connect your own AI provider account, and that provider bills you directly.

Yes. That is the point. We connect through your tools' APIs. The integrations page shows what connects today, and other systems are built per engagement.

Anything customer-facing or involving money waits for approval, so errors are caught before they go out. Corrections feed back into how the system works, and every action is logged.

Yes. Starting with one workflow is often the best way in. The proposal scopes it, and you add more once it's earning its keep.

Contracts run 12 months or quarterly, and you get a window to export your data.

Build the AI system your team keeps wishing it had

Tell us the job. On a 20-minute call we'll show you what an AI system would do, what stays with your people, and what it would take.