Built by someone who has done the work.
Artificial Systems Integration integrates AI into how businesses already run: finding where it fits, teaching the team to use it, and building what's missing, owned by the client when it is done. The company exists because the founder spent fifteen years in restaurants, saw what the right information at the right moment does for the person doing the work, and found that most businesses have nobody to set it up for them.
ASI's story starts a few years before the company did, on a restaurant floor, with a crude chatbot Brian Myers had built as a side project. It was not sophisticated, but it knew the wine list.
One day he asked it about his favorite wine, Château de Beaucastel. It came back with a beautiful description built around a word he had never heard: garrigue. He asked the restaurant's advanced sommelier, who had never heard it either. They looked it up. It is the wild Mediterranean scrub around the vineyards of the southern Rhône, thyme and rosemary and lavender on sun-baked limestone, and a niche term for the herbal edge those wines carry. That evening Brian used the description almost word for word and sold two bottles.
That was the moment the tools stopped being a novelty. Deep knowledge locked in a book or in one expert's head does not help when a guest asks a question right now. Put it in the hands of the person at the table, at the moment they need it, and every server on the floor gets better at once. ASI was founded on that idea, fifteen years into a restaurant career. Its first system was a working demonstration of exactly that for a restaurant floor, and a few working servers asked to use it, and do. Since then the same idea has answered our own phone, filed our own paperwork, and read SEC filings every morning.
We are not selling access to a platform we own. What we set up runs in your accounts, and what we build is stood up in a cloud project we create and hand over, owned by you from the first day to the last. There are no seats to license and no subscription standing between your team and your own information. If you decide to bring it in-house or hand it to another engineer, that is a handoff conversation, not an extraction project.
The pattern we see is consistent. The knowledge exists: a thorough binder, a manager who knows every answer, a shared drive with every policy. None of it is where the question gets asked. Someone tries an AI tool that impresses in the demo and falls apart against the real work, and the conclusion drawn is that AI does not work for this business. The actual problem was that nobody set it up, or built it, for this business.
That work is unglamorous. A source that stays current when the documents change. Access limited to what each job needs. A person approving what a model proposes before it goes out. Answers that say "not written down" instead of guessing. None of it demos well. All of it decides whether the thing is still in use six months in.
Every build then includes six months of fitting after it goes live. Real work surfaces what no plan can predict, and that half-year is when a system stops being what we thought you needed and becomes what you actually needed. It is priced into the project rather than sold back to you once you are dependent on it. Anything beyond that is a separate, cancellable arrangement, and ending it switches nothing off, because none of it was ever running on our side. Setting up tools and teaching a team ends with a follow-up session a few weeks later, once your team has used them on their own.
What we hold to
Built for the person doing the work
Not for a procurement committee. If the person at the counter, on the phone, or on the floor cannot use it in the middle of the job, it is not finished.
Transparency
You understand what was built, why it was built that way, and what it costs to run. Readable code and plain-language documentation are not optional.
Sustainability
Systems designed to evolve with the business rather than calcify into technical debt. The investment should compound, not depreciate.
Security
Customer data is handled like customer data. Redaction before storage, private archives, least-privilege access, designed in at the start rather than bolted on before a review.
Operator and engineer, the same person
The person you talk to builds it
No account managers, no handoff from a sales team to a delivery team, nobody translating your problem into a ticket for someone you will never meet. Scoping conversations are technical and honest from the first call.
A few clients at a time
Custom work is slow to do well, and we would rather do it well. The trade is deliberate: fewer projects at once, each one done by the people who understand it.
Fixed scope, fixed quote
A setup is quoted fixed from the first conversation; a build’s assessment ends with a written roadmap and a price for it. No open-ended hourly billing, and a build’s six months of tuning are inside that number.
A person approves what a model proposes
Price changes, messages to customers, an edit to a record. The model drafts and resolves; a person says yes. Where a confidently wrong answer would cost the business, code decides instead of the model.
All of it, from the first day
Your cloud project
We create it and hand it over. You hold the account and the billing, not us.
Your code, in your repository
Readable, documented, and yours to change, extend, or hand to another engineer.
Your data, exportable any time
Your documents, records, and history. Nothing is held back.
Nothing on our side
End the relationship and nothing switches off, because none of it was ever running with us.
ASI runs on what it sells.
An agent answers our phone, our paperwork files itself, and EDGAR Sentinel read SEC filings every morning from August to October 2026.
Everything we build runs on Google Cloud, deliberately. One ecosystem learned properly means faster builds, fewer moving parts, and a running cost we can tell you before we start. Cloud Run, Firestore, Cloud Scheduler, and Gemini do most of the work; every AI call is metered so the cost is a number you can see. When we set up tools for a team, we pick what fits that team, often Claude, Gemini, or the AI already in your Google or Microsoft account, and tell you why.
The first conversation costs nothing.
Bring the job that eats your team's week. We will tell you what it would take to fix it, what it would cost, and whether it is worth doing at all.
Prefer email? contact@asisystems.io